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  • 101. Bernáld, Helena
    et al.
    Cajander, Åsa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Kultur, Can
    Löfström, Anette
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    McDermott, Roger
    Russell Dag, Lori
    Intercultural competence in global collaboration courses in computer engineering2012In: Advances in Design for Cross-Cultural Activities: Part I, Boca Raton, FL: CRC Press, 2012, p. 351-361Conference paper (Refereed)
  • 102. Bernáld, Helena
    et al.
    Cajander, Åsa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Laxer, Cary
    Reasoning about the value of cultural awareness in international collaboration2011In: Journal of Applied Computing and Information Technology, ISSN 2230-4398, Vol. 15, no 1:I2Article in journal (Refereed)
  • 103. Bhatt, Manish
    et al.
    Ayyalasomayajula, Kalyan R.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Yalavarthy, Phaneendra K.
    Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues2016In: Journal of Biomedical Optics, ISSN 1083-3668, E-ISSN 1560-2281, Vol. 21, no 7, article id 076012Article in journal (Refereed)
  • 104.
    Bianchi, Kevin
    et al.
    ISIT UMR6284 CNRS, Univ. d’Auvergne BP10448, F-63000 Clermont-Ferrand.
    Vacavant, Antoine
    ISIT UMR6284 CNRS, Univ. d’Auvergne BP10448, F-63000 Clermont-Ferrand.
    Strand, Robin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Terve, Pierre
    KEOSYS Company 1, impasse Auguste Fresnel, F 44815 Saint Herblain.
    Sarry, Laurent
    ISIT UMR6284 CNRS, Univ. d’Auvergne BP10448, F-63000 Clermont-Ferrand.
    Dual B-spline Snake for Interactive Myocardial Segmentation2013Conference paper (Refereed)
    Abstract [en]

    This paper presents a novel interactive segmentation formalism based on two coupledB-Spline snake models to efficiently and simultaneously extract myocardial walls fromshort-axis magnetic resonance images. The main added value of this model is interactionas it is possible to quickly and intuitively correct the result in complex cases withoutrestarting the whole segmentation working flow. During this process, energies computedfrom the images guide the user to the best position of the model.

  • 105. Björk, Ingrid
    et al.
    Kavathatzopoulos, Iordanis
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Language and teaching ethics2018Conference paper (Refereed)
    Abstract [en]

    All problems with learning are increased when using English to teach non-English native students because of the culturally-sensitive nature of the subject of ethics. Coming to teaching ethics we are confronted with more difficulties. What is right and wrong is often affected by the culture, and different cultures often have different languages. Ethics theories are also expressed in language terms and they can be more easily misunderstood or misinterpreted compared to natural science theories. The feelings and every-day life encounters with “right” and “wrong” are linguistically experienced, described, and mediated. Therefore, language has a strong impact on whether something is ethical or whether it makes sense as an ethical issue at all.

  • 106.
    Björk, Ingrid
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
    Kavathatzopoulos, Iordanis
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Robots, ethics and language2015In: Computers & Society: The Newsletter of the ACM Special Interest Group on Computers and Society Special Issue on 20 Years of ETHICOMP / [ed] Mark Coeckelbergh, Bernd Stahl, and Catherine Flick; Vaibhav Garg and Dee Weikle, ACM Digital Library, 2015, p. 268-273Conference paper (Refereed)
    Abstract [en]

    Following the classical philosophical definition of ethics and the psychological research on problem solving and decision making, the issue of ethics becomes concrete and opens up the way for the creation of IT systems that can support handling of moral problems. Also in a sense that is similar to the way humans handle their moral problems. The processes of communicating information and receiving instructions are linguistic by nature. Moreover, autonomous and heteronomous ethical thinking is expressed by way of language use. Indeed, the way we think ethically is not only linguistically mediated but linguistically construed – whether we think for example in terms of conviction and certainty (meaning heteronomy) or in terms of questioning and inquiry (meaning autonomy). A thorough analysis of the language that is used in these processes is therefore of vital importance for the development of the above mentioned tools and methods. Given that we have a clear definition based on philosophical theories and on research on human decision-making and linguistics, we can create and apply systems that can handle ethical issues. Such systems will help us to design robots and to prescribe their actions, to communicate and cooperate with them, to control the moral aspects of robots’ actions in real life applications, and to create embedded systems that allow continuous learning and adaptation.

  • 107. Björk, Ingrid
    et al.
    Kavathatzopoulos, Iordanis
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    The importance of language in teaching and learning ethics2019Conference paper (Refereed)
    Abstract [en]

    The use of English as the teaching language at University courses for non-native English-speaking students is spreading more and more. Certain learning problems and difficulties have been reported already. However, in ethics courses, language has a greater impact. Concepts like right, wrong, values, etc., are complex. The meaning of such concepts is culturally embedded and they are constantly created and re-created in contexts of communication. The notions of, and every-day life encounters with “right” and “wrong” are linguistically experienced, described, and mediated, and therefore much more dependent on language than for example technical terms. In teaching, cognitive coordination between teacher and students is necessary in order for learning to take place. This is a kind of negotiation between instruction and the cognitive needs of the students, which, in order to be successful, has to be mediated through a shared language regarding the meanings of ethical and value terms and concepts. Using a language that is foreign to the students or the teacher or both, creates a need to re-create these meanings in class. This is clearly a burden that should be considered.

  • 108.
    Blache, Ludovic
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
    Nysjö, Fredrik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Malmberg, Filip
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Thor, Andreas
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Plastic Surgery.
    Rodriguez-Lorenzo, Andres
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Plastic Surgery.
    Nyström, Ingela
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    SoftCut:: A Virtual Planning Tool for Soft Tissue Resection on CT Images2018In: Medical Image Understanding and Analysis / [ed] Mark Nixon; Sasan Mahmoodi; Reyer Zwiggelaar, Cham: Springer, 2018, Vol. 894, p. 299-310Conference paper (Refereed)
    Abstract [en]

    With the increasing use of three-dimensional (3D) models and Computer Aided Design (CAD) in the medical domain, virtual surgical planning is now frequently used. Most of the current solutions focus on bone surgical operations. However, for head and neck oncologic resection, soft tissue ablation and reconstruction are common operations. In this paper, we propose a method to provide a fast and efficient estimation of shape and dimensions of soft tissue resections. Our approach takes advantage of a simple sketch-based interface which allows the user to paint the contour of the resection on a patient specific 3D model reconstructed from a computed tomography (CT) scan. The volume is then virtually cut and carved following this pattern. From the outline of the resection defined on the skin surface as a closed curve, we can identify which areas of the skin are inside or outside this shape. We then use distance transforms to identify the soft tissue voxels which are closer from the inside of this shape. Thus, we can propagate the shape of the resection inside the soft tissue layers of the volume. We demonstrate the usefulness of the method on patient specific CT data.

  • 109.
    Blom, Elisabeth
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Biochemistry and Organic Chemistry.
    Velikyan, Irina
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Radiology, Oncology and Radiation Science, Biomedical Radiation Sciences.
    Monazzam, Azita
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Endocrine Tumor Biology.
    Razifar, Pasha
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nair, Manoj
    Razifar, Payam
    Vanderheyden, Jean-Luc
    Krivoshein, Arcadius V.
    Backer, Marina
    Backer, Joseph
    Långström, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Biochemistry and Organic Chemistry.
    Synthesis and characterization of scVEGF-PEG-[68Ga]NOTA and scVEGF-PEG-[68Ga]DOTA PET tracers2011In: Journal of labelled compounds & radiopharmaceuticals, ISSN 0362-4803, E-ISSN 1099-1344, Vol. 54, no 11, p. 685-692Article in journal (Refereed)
    Abstract [en]

    Vascular endothelial growth factor (VEGF) signaling via vascular endothelial growth factor receptor 2 (VEGFR-2) on tumor endothelial cells is a critical driver of tumor angiogenesis. Novel anti-angiogenic drugs target VEGF/VEGFR-2 signaling and induce changes in VEGFR-2 prevalence. To monitor VEGFR-2 prevalence in the course of treatment, we are evaluating (68)Ga positron emission tomography imaging agents based on macrocyclic chelators, site-specifically conjugated via polyethylene glycol (PEG) linkers to engineered VEGFR-2 ligand, single-chain (sc) VEGF. The (68)Ga-labeling was performed at room temperature with NOTA (2,2', 2 ''-(1,4,7-triazonane-1,4,7-triyl) triacetic acid) conjugates or at 90 degrees C by using either conventional or microwave heating with NOTA and DOTA (2,2', 2 '', 2'''-(1,4,7,10-tetraazacyclododecane-1,4,7,10-tetrayl) tetraacetic acid) conjugates. The fastest (similar to 2min) and the highest incorporation (>90%) of (68)Ga into conjugate that resulted in the highest specific radioactivity (similar to 400MBq/nmol) was obtained with microwave heating of the conjugates. The bioactivity of the NOTA-and DOTA-containing tracers was validated in 3-D tissue culture model of 293/KDR cells engineered to express high levels of VEGFR-2. The NOTA-containing tracer also displayed a rapid accumulation (similar to 20s after intravenous injection) to steady-state level in xenograft tumor models. A combination of high specific radioactivity and maintenance of functional activity suggests that scVEGF-PEG-[(68)Ga] NOTA and scVEGF-PEG-[(68)Ga] DOTA might be promising tracers for monitoring VEGFR-2 prevalence and should be further explored.

  • 110.
    Bodin, Ida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Cognitive work analysis in practice: Adaptation to project scope and industrial context2016Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The Cognitive Work Analysis (CWA) framework is widely used by researchers for the analysis of complex systems. It, however, lacks the same impact amongst industrial practitioners. This thesis investigates possible adaptations of the framework to project and industrial constraints, and the consequences associated with such adaptations. Long haul heavy vehicle transportation is the application domain for the work presented in the thesis. The CWA framework has been applied within the Methods for Designing Future Autonomous Systems (MODAS) project. Adaptations have been made to fit the framework within the project constraints and the industrial contexts. Interviews with stakeholders in an industrial organization regarding possible use of models from the CWA framework have been made. The CWA was scaled to available resources when applied within the MODAS project. From this we realized that prioritization of work activity can have consequences on the resulting systems ability to handle unforeseen events. Further, a focus on the current system probed a rapid out-dating of the analysis due to technical development. The conclusion is that even if advantages are lost during adaptation due to practical constraints, the CWA framework could add value to practitioners within industry if adapted to the industrial context.

    List of papers
    1. Developing a 1st Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck
    Open this publication in new window or tab >>Developing a 1st Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck
    Show others...
    (English)Manuscript (preprint) (Other academic)
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-335442 (URN)
    Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-01-13
    2. Development and Assessment of Concept HMI for Supervising and Controlling a SelfDriving Truck
    Open this publication in new window or tab >>Development and Assessment of Concept HMI for Supervising and Controlling a SelfDriving Truck
    Show others...
    (English)Manuscript (preprint) (Other academic)
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-335451 (URN)
    Note

    Title in thesis list of papers: "Developing and Assessing a 2nd and 3rd Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck"

    Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-01-13
    3. Activity prioritization to focus the control task analysis
    Open this publication in new window or tab >>Activity prioritization to focus the control task analysis
    2016 (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, p. 91-104Article in journal (Refereed) Published
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-298003 (URN)10.1177/1555343416629307 (DOI)000374661200006 ()
    Projects
    MODAS
    Available from: 2016-03-01 Created: 2016-06-29 Last updated: 2018-01-13Bibliographically approved
    4. Rebuttal to Burns and Naikar
    Open this publication in new window or tab >>Rebuttal to Burns and Naikar
    2016 (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, p. 109-110Article in journal, Editorial material (Other academic) Published
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-299392 (URN)10.1177/1555343416629179 (DOI)000374661200008 ()
    Available from: 2016-03-31 Created: 2016-07-18 Last updated: 2018-01-10Bibliographically approved
    5. Eliciting strategies in revolutionary design: exploring the hypothesis of predefined strategy categories
    Open this publication in new window or tab >>Eliciting strategies in revolutionary design: exploring the hypothesis of predefined strategy categories
    2018 (English)In: Theoretical Issues in Ergonomics Science, ISSN 1463-922X, E-ISSN 1464-536X, Vol. 19, no 1, p. 101-117Article in journal (Refereed) Published
    Abstract [en]

    Introducing automation in a human-machine system changes the tasks performed by human operators. It is difficult to analyse systems for which there are no experienced operators. This issue emerged within a project with the aim to develop a human–machine interface for a highly automated long-haul vehicle. To handle the problem, a formative strategies analysis method with promises to enable desktop analyses through predefined strategy categories was adopted. The method was used to investigate strategies for controlling the future long haul vehicle by conducting workshops with today's drivers. The method was shown to be a valuable asset in eliciting strategies for revolutionary design.

    Keywords
    Cognitive work analysis, strategies analysis, automation, revolutionary systems design, long haul trucks
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-292799 (URN)10.1080/1463922X.2017.1278805 (DOI)000428728900006 ()
    Projects
    MODAS
    Funder
    VINNOVA, 2012-03678
    Available from: 2017-01-27 Created: 2016-05-09 Last updated: 2019-01-09Bibliographically approved
    6. Supporting industrial uptake of cognitive work analysis
    Open this publication in new window or tab >>Supporting industrial uptake of cognitive work analysis
    2015 (English)In: Proc. Human Factors and Ergonomics Society 59th Annual Meeting, Thousand Oaks, CA: Sage Publications, 2015, p. 170-174Conference paper, Published paper (Refereed)
    Abstract [en]

    As part of a broader industrial project, the first two stages of a Cognitive Work Analysis (CWA, Work Domain Analysis [WDA] and Control Task Analysis [ConTA]) were completed for Long Haul Commercial Road Transport. To support the potential uptake of CWA by different stakeholders within the industrial organization, parts of the ConTA Contextual Activity Template (CAT) were truncated. The goal of the current, exploratory study, was to identify which stakeholders within the industrial organization could benefit from using the WDA or CAT for either their Strategic (Research) or Product (Development) planning, and over what time horizon. We observed differences in the perceived usefulness of the WDA and the CAT between the different stakeholders. Innovative solutions to the issues raised should significantly enhance the industrial use of Cognitive Work Analysis.

    Place, publisher, year, edition, pages
    Thousand Oaks, CA: Sage Publications, 2015
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-268730 (URN)978-0-945289-47-0 (ISBN)
    Conference
    HFES 2015, October 26–30, Los Angeles, CA
    Available from: 2015-10-30 Created: 2015-12-09 Last updated: 2018-01-10Bibliographically approved
  • 111.
    Bodin, Ida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Fröjd, Camilla
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences.
    Arweström Jansson, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Work domain analysis of an intensive care unit: An Abstraction Hierarchy based on a bed-side approach2016In: Proc. Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference, 2016Conference paper (Refereed)
    Abstract [en]

    Work in intensive care units requires interaction with several medical devices and interpretation of dynamic information from several sources. The aim of the current study was to gain understanding of the work domain to support the development of a holistic information environment and further analyses of risky situations. A total of 18 hours of bed-side observations at an intensive care unit and interviews with three experienced intensive care unit nurses were conducted in order to receive input data for the modelling of the work domain. The domain was modelled in an abstraction hierarchy, as according to the first phase of the cognitive work analysis framework. The results show that the ultimate purpose of the work carried out in an intensive care unit is keeping patients alive while gaining time for treatment, but also to perform treatment and relieve symptoms. The purpose is represented at the top level of the model, and lower levels include functions as supporting the patients’ vital functions and avoiding secondary complications. With this work domain analysis as a basis, three different design challenges identified can be dealt with systematically.

  • 112.
    Bodin, Ida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Krupenia, Stas
    Supporting industrial uptake of cognitive work analysis2015In: Proc. Human Factors and Ergonomics Society 59th Annual Meeting, Thousand Oaks, CA: Sage Publications, 2015, p. 170-174Conference paper (Refereed)
    Abstract [en]

    As part of a broader industrial project, the first two stages of a Cognitive Work Analysis (CWA, Work Domain Analysis [WDA] and Control Task Analysis [ConTA]) were completed for Long Haul Commercial Road Transport. To support the potential uptake of CWA by different stakeholders within the industrial organization, parts of the ConTA Contextual Activity Template (CAT) were truncated. The goal of the current, exploratory study, was to identify which stakeholders within the industrial organization could benefit from using the WDA or CAT for either their Strategic (Research) or Product (Development) planning, and over what time horizon. We observed differences in the perceived usefulness of the WDA and the CAT between the different stakeholders. Innovative solutions to the issues raised should significantly enhance the industrial use of Cognitive Work Analysis.

  • 113.
    Bodin, Ida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Krupenia, Stas S.
    Activity prioritization to focus the control task analysis2016In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, p. 91-104Article in journal (Refereed)
  • 114.
    Bodin, Ida
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Krupenia, Stas S.
    Rebuttal to Burns and Naikar2016In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, p. 109-110Article in journal (Other academic)
  • 115.
    Bombrun, Maxime
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Gao, Hui
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Mejhert, Niklas
    Arner, Peter
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Quantitative high-content/high-throughput microscopy analysis of lipid droplets in subject-specific adipogenesis models2017In: Cytometry Part A, ISSN 1552-4922, E-ISSN 1552-4930, Vol. 91, no 11, p. 1068-1077Article in journal (Refereed)
  • 116.
    Bombrun, Maxime
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lindblad, Joakim
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Allalou, Amin
    Uppsala University, Science for Life Laboratory, SciLifeLab.
    Partel, Gabriele
    Uppsala University, Science for Life Laboratory, SciLifeLab.
    Solorzano, Leslie
    Uppsala University, Science for Life Laboratory, SciLifeLab.
    Qian, Xiaoyan
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Tomtebodavagen 23, S-17165 Solna, Sweden.
    Nilsson, Mats
    Stockholm Univ, Dept Biochem & Biophys, Sci Life Lab, Tomtebodavagen 23, S-17165 Solna, Sweden.
    Wählby, Carolina
    Uppsala University, Science for Life Laboratory, SciLifeLab.
    Decoding gene expression in 2D and 3D2017In: Image Analysis: Part II, Springer, 2017, p. 257-268Conference paper (Refereed)
    Abstract [en]

    Image-based sequencing of RNA molecules directly in tissue samples provides a unique way of relating spatially varying gene expression to tissue morphology. Despite the fact that tissue samples are typically cut in micrometer thin sections, modern molecular detection methods result in signals so densely packed that optical “slicing” by imaging at multiple focal planes becomes necessary to image all signals. Chromatic aberration, signal crosstalk and low signal to noise ratio further complicates the analysis of multiple sequences in parallel. Here a previous 2D analysis approach for image-based gene decoding was used to show how signal count as well as signal precision is increased when analyzing the data in 3D instead. We corrected the extracted signal measurements for signal crosstalk, and improved the results of both 2D and 3D analysis. We applied our methodologies on a tissue sample imaged in six fluorescent channels during five cycles and seven focal planes, resulting in 210 images. Our methods are able to detect more than 5000 signals representing 140 different expressed genes analyzed and decoded in parallel.

  • 117.
    Bombrun, Maxime
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    A web application to analyse and visualize digital images at multiple resolutions2017Conference paper (Other academic)
    Abstract [en]

    Computerised image processing and automated quantification of cell and tissue morphology are becoming important tools for complementing visual assessment when investigating disease and/or drug response. The distribution and organisation of cells in intact tissue samples provides a rich visual-cognitive combination of information at multiple resolutions. The lowest magnification describes specific architectural patterns in the global tissue organization. At the same time, new methods for in situ sequencing of RNA allows profiling of gene expression at cellular resolution. Analysis at multiple resolutions thus opens up for large-scale comparison of genotype and phenotype. Expressed genes are locally amplified by molecular probes and rolling circle amplification, and decoded by repeating the sequencing cycle for the four letters of the genetic code. Using image processing methodologies on these giga-pixel images (40000 x 48000 pixels), we have identified more than 40 genes in parallel in the same tissue sample. Here, we present an open-source tool which combines the quantification of cell and tissue morphology with the analysis of gene expression. Our framework builds on CellProfiler, a free and open-source software developed for image based screening, and our viewing platform allow experts to visualize both gene expression patterns and quantitative measurements of tissue morphology with different overlays, such as the commonly used H&E staining. Furthermore, the user can draw regions of interest and extract local statistics on gene expression and tissue morphology over large slide scanner images at different resolutions. The TissueMaps platform provides a flexible solution to support the future development of histopathology, both as a diagnostic tool and as a research field.

  • 118.
    Bombrun, Maxime
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Ranefall, Petter
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Wählby, Carolina
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    TissueMaps: A large multi-scale data analysis platform for digital image application built on open-source software2016Conference paper (Other academic)
    Abstract [en]

    Automated analysis of microscopy data and quantification of cell and tissue morphology has become an important tool for investigating disease and/or drug response. New methods of in situ sequencing of RNA allows profiling of gene expression at cellular resolution in intact tissue samples, and thus opens up for large-scale comparison of genotype and phenotype. Expressed genes are locally amplified by molecular probes and rolling circle amplification, and decoded by analysis of repeated imaging and sequencing cycles. Using image processing methodologies on these giga-pixel images (40000 x 48000 pixels), we have identified more than 40 genes in parallel in the same tissue sample. On the other hand, the distribution and organisation of cells in the tissue contain rich information at multiple resolutions. The lowest resolution describes the global tissue arrangement, while the cellular resolution allows us to quantify gene expression and morphology of individual cells.

    Here, we present an open-source tool which combine the analysis of gene expression with quantification of cell and tissue morphology. Our framework builds on CellProfiler, a free and open-source software developed for image based screening, and our viewing platform allow experts to visualize analysis results with different overlays, such as the commonly used H&E staining. Furthermore, the user can draw regions of interest and extract local statistics on gene expression and tissue morphology over large slide scanner images at different resolutions (Fig.1). The TissueMaps platform provides a flexible solution to support the future development of histopathology, both as a diagnostic tool and as a research field.

  • 119.
    Borgefors (editor), Gunilla
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Short Descriptions of International Journals on Image Processing and its Applications2012Report (Other academic)
  • 120.
    Borgefors, Gunilla
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    ISMM 2013 - 11th International Symposium on Mathematical Morphology2013In: IAPR Newsletter, Vol. 35, no 4, p. 15-16Article in journal (Other (popular science, discussion, etc.))
  • 121.
    Borgefors, Gunilla
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    The Scarcity of Universal Colour Names2018In: Proceedings of 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2018) / [ed] Maria de Marisco, Gabriella Sannniti di Baja, Ana Fred, SciTePress, 2018, p. 496-502Conference paper (Refereed)
    Abstract [en]

    There is a trend in Computer Vision to use over twenty colour names for image annotation, retrieval and to train deep learning networks to name unknown colours for human use. This paper will show that there is little consistency of colour naming between languages and even between individuals speaking the same language. Experiments will be cited that show that your mother tongue influences how your brain processes colour. It will also be pointed out that the eleven so called basic colours in English are not universal and cannot be applied to other languages. The conclusion is that only the six Hering primary colours, possibly with simple qualifications, are the only ones you should use if you aim for universal usage of your systems. That is: black, white, red, green, blue, and yellow.

  • 122.
    Borgefors, Gunilla
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sarve, Hamid
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Johansson, Carina B
    Friberg, Bertil
    Osseointegration med hjälp av datoriserad bildanalys2012In: Tandläkartidningen, ISSN 0039-6982, Vol. 104, no 12, p. 66-71Article in journal (Refereed)
  • 123. Borodulina, Svetlana
    et al.
    Wernersson, Erik L. G.
    Kulachenko, Artem
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Extracting fiber and network connectivity data using microtomography images of paper2016In: Nordic Pulp & Paper Research Journal, ISSN 0283-2631, E-ISSN 2000-0669, Vol. 31, no 3, p. 469-478Article in journal (Refereed)
  • 124.
    Branger, Erik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Grape, Sophie
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Jacobsson Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Wernersson, Erik L. G.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Improved DCVD assessments of irradiated nuclear fuel using image analysis techniques2014Conference paper (Other academic)
    Abstract [en]

    The Digital Cherenkov Viewing Device (DCVD) is a tool for measuring the Cherenkov light intensity emitted from irradiated nuclear fuel in wet storage. It is currently used in nuclear facilities where authority inspectors perform attended gross defect verification to ensure the presence of irradiated fuel material, as well as partial defect verification to ensure that a fraction of the fuel material has not been diverted. In 2013, Uppsala University (UU), supported by the Swedish Radiation Safety Authority, initiated a PhD project aimed at gaining a better understanding of the underlying physics process of the Cherenkov light emission and its detection, in order to improve and enhance the capabilities of the DCVD. The scope of this research is broad and includes modelling, simulations and experiments. As a first step, expertise on image analysis was brought into the project with the purpose to identify image analysis related opportunities and challenges relevant to the DCVD. The investigations performed so far cover general aspects of image analysis as well as aspects specific for verification of PWR fuels, where the fuel geometry may be extra challenging. Resulting from the investigation are suggestions on how to improve the measurement procedure and consequently the image quality obtained with the DCVD. This presentation describes these results and expected outcomes of their implementation.

  • 125.
    Branger, Erik
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Jacobsson Svärd, Staffan
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Grape, Sophie
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
    Wernersson, Erik L. G.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Towards unattended partial-defect verification of irradiated nuclear fuel assemblies using the DCVD2014Conference paper (Other academic)
    Abstract [en]

    The Digital Cherenkov Viewing Device (DCVD) is a tool used by authority inspectors to verify irradiated nuclear fuel assemblies in wet storage by measuring the Cherenkov light emitted. The DCVD is approved by the IAEA for gross defect verification, and is one of the few inspection tools approved for partial defect verification.

    There is interest in adapting the DCVD to work in unattended mode, so that it can be used to verify large quantities of irradiated fuel assemblies prior to moving them to difficult-to-access storage locations. This work presents methods based on image analysis that can be used to reduce the effects of different types of distortions encountered when performing measurements with the DCVD. Implementing these methods will ensure that data of high quality is obtained. Verification prior to moving fuels to difficult-to-access storage may also require a dedicated measurement station to be built, and it is argued that by constructing these stations with the DCVD in mind, many distortions can be reduced or eliminated. Thus, by implementing safeguards-by-design, it is possible to ensure that the DCVD is used in near optimal conditions.

  • 126. Bujy, Balakrishnan
    et al.
    Sujathan, Vilayil
    Malm, Patrik
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Kumar, Rajesh
    A fast and reliable approach to cell nuclei segmentation in PAP stained cervical smears2013In: CSI Transactions on ICT, ISSN 2277-9078Article in journal (Refereed)
    Abstract [en]

    Fast and reliable segmentation of cervical cellnuclei is one of the crucial steps of an automated screeningsystem that aims early detection of cervical cancer. In thispaper, we propose an edge based approach using custom-ized Laplacian of Gaussian (LoG) filter to segment freelying cell nuclei in bright-field microscope images of Papsmear. The LoG is generally employed as a second orderedge detector in image processing. The images may havethe challenges of inconsistent staining, overlapping andfolded cells. Experimenting proposed method over all typesof cervical images including sufficient number of highgrade lesions of cervical cancer shows that our methodperforms well for stain varied images containing focusednuclei.

  • 127.
    Byström, Anna
    et al.
    Swedish University of Agricultural Sciences, Department of Anatomy, Physiology and Biochemistry.
    Roepstorff, Lars
    Swedish University of Agricultural Sciences, Department of Anatomy, Physiology and Biochemistry.
    Brun, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Image Analysis of Saddle Pressure Data2011Conference paper (Other academic)
  • 128. Cadenas, José Oswaldo
    et al.
    Megson, Graham M.
    Luengo Hendriks, Cris L.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Preconditioning 2D integer data for fast convex hull computations2016In: PLoS ONE, ISSN 1932-6203, E-ISSN 1932-6203, Vol. 11, no 3, article id e0149860Article in journal (Refereed)
  • 129.
    Cajander, Åsa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Complex systems for society2018In: XRDS, ISSN 1528-4972, Vol. 25, no 1, p. 63-63Article in journal (Refereed)
  • 130.
    Cajander, Åsa
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Software engineering with conflicting user needs: Patient accessible electronic patient records2018In: Proceedings of the International Workshop on Software Engineering in Healthcare Systems, IEEE, 2018, p. 1-1Conference paper (Refereed)
    Abstract [en]

    With roots in Human Centred Software Engineering, and in User Centred Systems Design Asa Cajander has lead research on Patient Accessible Electronic Health Records (PAEHR) for six years. This experience has made her revisit the core values of user centeredness, as the different user groups of PAEHR indeed describe conflicting user needs. In this key note she will present the patients' perspective of the system, and contrast that with the perspectives of physicians and nurses. The conflicting needs of the different user groups will be illustrated by a small role play, and she will relate and discuss the findings in relation to the design and development of eHealth systems.

  • 131.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Bernáld, Helena
    Victor, Björn
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Professionella kompetenser i projektkurser2012In: Proc. 3:e Utvecklingskonferensen för Sveriges ingenjörsutbildningar / [ed] Gunnarsson, Svante, Linköping University Electronic Press, 2012, p. 123-128Conference paper (Refereed)
  • 132.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Cullhed, Mats
    Clear, Tony
    McDermott, Roger
    Laxer, Cary
    Categorizing how students use collaborative technologies in a globally distributed project2012In: Proc. 42nd ASEE/IEEE Frontiers in Education Conference, Piscataway, NJ: IEEE , 2012, p. 1325-1330Conference paper (Refereed)
  • 133.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Golay, Diane
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Moll, Jonas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nylén, Aletta
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science.
    Pears, Arnold
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Peters, Anne-Kathrin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    McDermott, Roger
    Unexpected student behaviour and learning opportunities: Using the theory of planned behaviour to analyse a critical incident2017In: Proc. 47th ASEE/IEEE Frontiers in Education Conference, Piscataway, NJ: IEEE Press, 2017Conference paper (Refereed)
  • 134.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Kultur, Can
    Russell Dag, Lori
    Laxer, Cary
    Managing international student collaborations: An experience report2012In: Proc. 42nd ASEE/IEEE Frontiers in Education Conference, Piscataway, NJ: IEEE , 2012, p. 355-360Conference paper (Refereed)
  • 135.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    McDermott, Roger
    On valuing peers: theories of learning and intercultural competence2012In: Computer Science Education, ISSN 0899-3408, E-ISSN 1744-5175, Vol. 22, p. 319-342Article in journal (Refereed)
  • 136.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    McDermott, Roger
    von Konsky, Brian
    Assessing professional skills in engineering education2011In: Australian Computer Science Communications, ISSN 0157-3055, Vol. 33, no 2, p. 145-154Article in journal (Refereed)
  • 137.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Peters, Anne-Kathrin
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    McDermott, Roger
    Critical thinking, peer-writing, and the importance of feedback2014In: Proc. 44th ASEE/IEEE Frontiers in Education Conference, Piscataway, NJ: IEEE Press, 2014, p. 1501-1507Conference paper (Refereed)
  • 138.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    von Konsky, Brian R.
    Development of Professional Competencies in Engineering Education2011In: Proc. 41st ASEE/IEEE Frontiers in Education Conference, Piscataway, NJ: IEEE , 2011, p. S1C-1-5Conference paper (Refereed)
  • 139.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Grünloh, Christiane
    Electronic health records are more than a work tool: Conflicting needs of direct and indirect stakeholders2019In: Proc. 37th CHI Conference on Human Factors in Computing Systems, New York: ACM Press, 2019, article id 635Conference paper (Refereed)
  • 140.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Grünloh, Christiane
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Scandurra, Isabella
    Designing eHealth Services for Patients and Relatives: Critical incidents and lessons to learn2016In: Proc. 9th Nordic Conference on Human-Computer Interaction: Game-Changing Design, New York: ACM Press, 2016, article id 130Conference paper (Other academic)
  • 141.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Grünloh, Christiane
    Moll, Jonas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Using data for better cancer treatments2018In: Care for Cancer, Uppsala University, 2018, p. 34-37Conference paper (Other academic)
  • 142.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Grünloh, Christiane
    Rexhepi, Hanife
    Worlds Apart: Doctors' technological frames and online medical records2015In: INTERACT 2015 Adjunct Proceedings, University of Bamberg Press , 2015, p. 357-367Conference paper (Refereed)
  • 143.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Janols, Rebecka
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Eriksson, Elina
    On the establishment of user-centred perspectives2014In: Proc. 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, New York: ACM Press, 2014, p. 103-112Conference paper (Refereed)
  • 144.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nauwerck, Gerolf
    Uppsala University, University Administration, Planning Division.
    Nyberg, Britta
    Uppsala University, University Administration, Planning Division.
    Sandblad, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Ekonomiadministratörernas IT-relaterade arbetsmiljö vid Uppsala universitet: En kortfattad rapport från KiA-projektet2014Report (Other academic)
  • 145.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lárusdóttir, Marta
    Eriksson, Elina
    Nauwerck, Gerolf
    Uppsala University, University Administration, Planning Division.
    Contextual personas as a method for understanding digital work environments2015In: Human Work Interaction Design: Work Analysis and Interaction Design Methods for Pervasive and Smart Workplaces, Springer, 2015, p. 141-152Conference paper (Refereed)
    Abstract [en]

    The role of IT at the workplace has changed dramatically from being a tool within the work environment to include all aspects of social and private life. New workplaces emerge where IT becomes more and more divergent, embedded and pervasive. These new aspects of IT at work need to be addressed with new or adapted human centred activities. This paper present and discuss a modified version of personas called contextual personas developed to better address the new working life. The contextual personas were developed using contextual inquiry, and focus groups as well as argumentative design. From the process of developing the contextual personas we learned that they are indeed a promising tool to understand the new work situations, and especially the holistic view of IT at work as they bring the whole working-life of the personas into focus. Finally, we discuss in what way the contextual personas could give developers extended understanding of the users' future office work environment.

  • 146.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lárusdóttir, Marta
    Gulliksen, Jan
    Existing but not explicit: The user perspective in Scrum projects in practice2013In: Human-Computer Interaction – INTERACT 2013: Part III, Springer Berlin/Heidelberg, 2013, p. 762-779Conference paper (Refereed)
  • 147.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Moll, Jonas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Englund, Sara
    Hansman, Anastasia
    Medical records online for patients and effects on the work environment of nurses2018In: Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, Amsterdam, The Netherlands: IOS Press, 2018, p. 271-275Conference paper (Refereed)
  • 148.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nauwerck, Gerolf
    Uppsala University, University Administration, Planning Division.
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Things take time: Establishing usability work in a university context2015In: European Journal of Higher Education IT, ISSN 2409-1340, Vol. 2, no 1Article in journal (Refereed)
  • 149.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Nauwerck, Gerolf
    Uppsala University, University Administration, Planning Division.
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lárusdóttir, Marta
    Challenges for action research on HWID in activity based workplaces2015In: INTERACT 2015 Adjunct Proceedings, University of Bamberg Press , 2015, p. 161-170Conference paper (Refereed)
  • 150.
    Cajander, Åsa
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Sandblad, Bengt
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    Lind, Thomas
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
    McDermott, Roger
    Daniels, Mats
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Vision seminars and administration of university education: A case study2015In: Proc. 1st Al Baha University and Uppsala University Symposium on Quality in Computing Education, 2015, p. 29-32Conference paper (Refereed)
1234567 101 - 150 of 935
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