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  • 1.
    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: 2020-01-08Bibliographically 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: 2020-01-08Bibliographically 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: 2020-01-08Bibliographically 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: 2020-01-08Bibliographically approved
    Download full text (pdf)
    fulltext
  • 2.
    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.

  • 3.
    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.

  • 4.
    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)
  • 5.
    Carlson, Sara
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Löscher, 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.
    Lind, Thomas
    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, Education in Nursing. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Anaesthesiology and Intensive Care. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Vascular Surgery.
    Using Cognitive Work Analysis to Model the Impact of Digitalization on Intensive Care NursingIn: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032Article in journal (Refereed)
    Abstract [en]

    The continuous development of health IT fuels a process of ongoing digitalization that affects the work of hospital staff. A Cognitive Work Analysis methodology was used to investigate the impact of digitalization through a Clinical Information System (CIS), an addition to the basic Electronic Medical Record, on one intensive care unit (ICU). Both observations and semi-structured interviews were performed. The replacement of a paper charting system with a digital CIS that meant some of the administrative tasks could be automated and other tasks being performed on a computer screen instead of using paper. The nurses’ work domain was modeled and compared to a study performed prior to the implementation of the CIS. The study demonstrates the potential utility of the Cognitive Work Analysis approach (when applied both pre and post-implementation) to evaluate the impact of a CIS on ICU nurses.

  • 6.
    Golay, Diane
    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.
    Löscher, 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.
    Lind, Thomas
    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 impact of information and communication technology on work, workers, and the psychosocial work context: Research trends from 2000–20172019Manuscript (preprint) (Other academic)
  • 7.
    Jansson, Anders
    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.
    Stensson, Patrik
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
    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.
    Axelsson, Anton
    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.
    Tschirner, Simon
    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.
    Authority and level of automation: Lessons to be learned in design of in-vehicle assistance systems2014In: Human-Computer Interaction: Applications and Services, Part III, Springer Berlin/Heidelberg, 2014, p. 413-424Conference paper (Refereed)
  • 8.
    Krupenia, Stas
    et al.
    Scania CV AB.
    Jansson, Anders
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Fagerlönn, Johan
    Interactive Institute Swedish ICT.
    Grane, Camilla
    Luleå Technical University.
    Vännström, Johanna
    Scania CV AB.
    Bodin, Ida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Axelsson, Anton
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Bromander, Emil
    Scania CV AB.
    Ahlm, Victor
    Scania CV AB.
    Nicola, Daniele
    Scania CV AB.
    Larsson, Stefan
    Scania CV AB.
    Frimalm, Ronja
    Interactive Institute Swedish ICT.
    Friström, Jon
    Luleå Technical University.
    Development and Assessment of Concept HMI for Supervising and Controlling a SelfDriving TruckManuscript (preprint) (Other academic)
  • 9.
    Löscher, Ida
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction.
    Aiming at Moving Targets: Applying Cognitive Work Analysis to Work Domains in Transition2020Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The design of IT systems for complex work environments is essential for workers to be able to operate more effectively and efficiently. To design a system that supports the workers' specific tasks we need to understand the work demands and the context in which the system operates. However, this is a difficult task because of the dynamic nature of complex systems. The thesis investigates how the cognitive work analysis (CWA) framework (Vicente, 1999) can be applied to understand a domain under transformation by (1) developing methods to manage challenges associated with applying CWA to real-world complex systems and (2) investigating how models from the CWA framework can be used to contend with the moving target for development. The studies are carried out within two quite different application domains: long-haul driving and health care. An activity prioritization method was suggested as a useful technique to focus the analyzing efforts during the analysis of tasks and strategies. However, adaption to practical constraints has to be done thoughtfully in order not to lose the value of the analysis. Moreover, workshops were proposed as a means to bridge the gap between the analysis and design by finding design metaphors and possible future work strategies from the domain knowledge of the drivers. Third, a study was done using the abstraction hierarchy (AH) to learn about digitization in health care, which is an example of ongoing change in a work domain. The AH was also adapted to model health IT systems as a means to provide an overview and consistent vision of strategic decisions. Using the AH as an overview of sub-systems that were developed by different organizations or organizational units would make it possible to identify collaboration needs or a lack of connectivity and integration between systems. The AH can therefore be applied to support the development of an IT system that is to be part of a transforming work domain.

    List of papers
    1. 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: 2020-01-08Bibliographically approved
    2. 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: 2020-01-08Bibliographically approved
    3. 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: 2020-01-08Bibliographically approved
    4. Work domain analysis of an intensive care unit: An Abstraction Hierarchy based on a bed-side approach
    Open this publication in new window or tab >>Work domain analysis of an intensive care unit: An Abstraction Hierarchy based on a bed-side approach
    2016 (English)In: Proc. Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference, 2016Conference paper, Published 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.

    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-335425 (URN)
    Conference
    Human Factors and Ergonomics Society Europe Chapter 2015 Annual Conference
    Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2020-01-08
    5. Using Cognitive Work Analysis to Model the Impact of Digitalization on Intensive Care Nursing
    Open this publication in new window or tab >>Using Cognitive Work Analysis to Model the Impact of Digitalization on Intensive Care Nursing
    (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032Article in journal (Refereed) Submitted
    Abstract [en]

    The continuous development of health IT fuels a process of ongoing digitalization that affects the work of hospital staff. A Cognitive Work Analysis methodology was used to investigate the impact of digitalization through a Clinical Information System (CIS), an addition to the basic Electronic Medical Record, on one intensive care unit (ICU). Both observations and semi-structured interviews were performed. The replacement of a paper charting system with a digital CIS that meant some of the administrative tasks could be automated and other tasks being performed on a computer screen instead of using paper. The nurses’ work domain was modeled and compared to a study performed prior to the implementation of the CIS. The study demonstrates the potential utility of the Cognitive Work Analysis approach (when applied both pre and post-implementation) to evaluate the impact of a CIS on ICU nurses.

    Place, publisher, year, edition, pages
    London: Sage Publications
    Keywords
    Cognitive Work Analysis, Work Domain Analysis, Intensive Care, Nursing, Digitalization
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-401122 (URN)
    Projects
    The effects of digitalization on the work environment of nurses (DISA)
    Funder
    Forte, Swedish Research Council for Health, Working Life and Welfare, 2016-07153
    Available from: 2020-01-06 Created: 2020-01-06 Last updated: 2020-02-06Bibliographically 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: 2020-01-08Bibliographically approved
    7. Visualizing Purpose and Functionality Overlaps of Health IT Systems using an Abstraction Hierarchy
    Open this publication in new window or tab >>Visualizing Purpose and Functionality Overlaps of Health IT Systems using an Abstraction Hierarchy
    2019 (English)In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Newbury Park, California: Sage Publications, 2019, Vol. 63, p. 317-321Conference paper, Published paper (Refereed)
    Abstract [en]

    The development of health IT fuels a digitalization process that affects the work of hospital staff negatively in the case of poor integration of IT systems. A challenge lies in keeping track of the existing IT systems and possible overlapping functions. The Abstraction Hierarchy model from the Cognitive Work Analysis framework describes how parts of a complex system relate to the over-arching goals of the system, which could work as an overview of the IT systems. In this study, we explore how an Abstraction Hierarchy can be used to visualize how IT systems’ functions overlap, interfere with, or depend on each other. The Abstraction Hierarchy was developed based on documentation, interviews, and a study visit at a hospital ward. The overlaps in functionality visualized in the Abstraction Hierarchy could serve as indicators for the need for further investigation of effects on the hospital staff’s work.

    Place, publisher, year, edition, pages
    Newbury Park, California: Sage Publications, 2019
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-398112 (URN)10.1177/1071181319631463 (DOI)
    Conference
    63rd international annual meeting, Human Factors and Ergonomics Society, October 28-November 01, 2019, Seattle, Washington DC, USA
    Projects
    The effects of digitalization on the work environment of nurses (DISA)
    Funder
    Forte, Swedish Research Council for Health, Working Life and Welfare, 2016-07153
    Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2020-06-11Bibliographically approved
    8. Cognitive Work Analysis to support development of health IT in a complex organization
    Open this publication in new window or tab >>Cognitive Work Analysis to support development of health IT in a complex organization
    (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126Article in journal (Refereed) Submitted
    Abstract [en]

    The continuous development of health IT fuels a process of ongoing digitalization that can affect the work of hospital staff negatively with respect to the poor integration of IT systems. One aim is to understand challenges associated with the work of implementing health IT systems within a complex organization. Another aim is to explore how an abstraction hierarchy, a modeling tool from the cognitive work analysis framework, can be used for development of health IT by visualizing how IT systems’ functions overlap, interfere with or depend on each other. We interviewed decision makers holding different positions at a large university hospital in Sweden and the possible use of the abstraction hierarchy was evaluated during a workshop. Multiple challenges are associated with the development of health IT systems, including difficulties in usability work, various work roles and use cases, the complexity of the organization, external development and technical and legal barriers to system integration. The abstraction hierarchy could indicate the need for further investigation of functionality overlap and reveal collaboration needs between development projects.

    Place, publisher, year, edition, pages
    Amsterdam: Elsevier
    Keywords
    Digitalization, Cognitive Work Analysis, Work Domain Analysis, Abstraction Hierarchy
    National Category
    Human Computer Interaction
    Identifiers
    urn:nbn:se:uu:diva-401125 (URN)
    Projects
    The effects of digitalization on the work environment of nurses (DISA)
    Funder
    Forte, Swedish Research Council for Health, Working Life and Welfare, 2016-07153
    Available from: 2020-01-06 Created: 2020-01-06 Last updated: 2020-02-05Bibliographically approved
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  • 10.
    Löscher, 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.
    Axelsson, Anton
    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.
    Vännström, Johanna
    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.
    Eliciting strategies in revolutionary design: exploring the hypothesis of predefined strategy categories2018In: Theoretical Issues in Ergonomics Science, ISSN 1463-922X, E-ISSN 1464-536X, Vol. 19, no 1, p. 101-117Article in journal (Refereed)
    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.

  • 11.
    Löscher, 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
    Use and refinement of CWA in an industrial, automotive design, context2017In: Cognitive Work Analysis: Applications, Extensions and Future Directions, CRC Press, 2017, p. 303-320Chapter in book (Other academic)
  • 12.
    Löscher, 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.
    Lind, Thomas
    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 to support development of health IT in a complex organizationIn: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126Article in journal (Refereed)
    Abstract [en]

    The continuous development of health IT fuels a process of ongoing digitalization that can affect the work of hospital staff negatively with respect to the poor integration of IT systems. One aim is to understand challenges associated with the work of implementing health IT systems within a complex organization. Another aim is to explore how an abstraction hierarchy, a modeling tool from the cognitive work analysis framework, can be used for development of health IT by visualizing how IT systems’ functions overlap, interfere with or depend on each other. We interviewed decision makers holding different positions at a large university hospital in Sweden and the possible use of the abstraction hierarchy was evaluated during a workshop. Multiple challenges are associated with the development of health IT systems, including difficulties in usability work, various work roles and use cases, the complexity of the organization, external development and technical and legal barriers to system integration. The abstraction hierarchy could indicate the need for further investigation of functionality overlap and reveal collaboration needs between development projects.

  • 13.
    Löscher, Ida
    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.
    Visualizing Purpose and Functionality Overlaps of Health IT Systems using an Abstraction Hierarchy2019In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Newbury Park, California: Sage Publications, 2019, Vol. 63, p. 317-321Conference paper (Refereed)
    Abstract [en]

    The development of health IT fuels a digitalization process that affects the work of hospital staff negatively in the case of poor integration of IT systems. A challenge lies in keeping track of the existing IT systems and possible overlapping functions. The Abstraction Hierarchy model from the Cognitive Work Analysis framework describes how parts of a complex system relate to the over-arching goals of the system, which could work as an overview of the IT systems. In this study, we explore how an Abstraction Hierarchy can be used to visualize how IT systems’ functions overlap, interfere with, or depend on each other. The Abstraction Hierarchy was developed based on documentation, interviews, and a study visit at a hospital ward. The overlaps in functionality visualized in the Abstraction Hierarchy could serve as indicators for the need for further investigation of effects on the hospital staff’s work.

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