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Obaid, Mohammad
Publications (10 of 20) Show all publications
Mubin, O., Wadibhasme, K., Jordan, P. & Obaid, M. (2019). Reflecting on the presence of science fiction robots in computing literature. ACM Transactions on Human-Robot Interaction, 8(1), Article ID 5.
Open this publication in new window or tab >>Reflecting on the presence of science fiction robots in computing literature
2019 (English)In: ACM Transactions on Human-Robot Interaction, E-ISSN 2573-9522, Vol. 8, no 1, article id 5Article in journal (Refereed) Published
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-389880 (URN)10.1145/3303706 (DOI)000471141700005 ()
Available from: 2019-03-22 Created: 2019-07-31 Last updated: 2019-08-07Bibliographically approved
Granlund, I., Vriend, S. A., Benz, J., Azizah, R., Laaksoharju, M. & Obaid, M. (2018). A user-centered storytelling approach to design a language companion robotic agent. In: Proc. 6th International Conference on Human-Agent Interaction: . Paper presented at HAI 2018, December 15–18, Southampton, UK (pp. 29-35). New York: ACM Press
Open this publication in new window or tab >>A user-centered storytelling approach to design a language companion robotic agent
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2018 (English)In: Proc. 6th International Conference on Human-Agent Interaction, New York: ACM Press, 2018, p. 29-35Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
New York: ACM Press, 2018
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-377807 (URN)10.1145/3284432.3284434 (DOI)000457793300006 ()978-1-4503-5953-5 (ISBN)
Conference
HAI 2018, December 15–18, Southampton, UK
Available from: 2018-12-04 Created: 2019-02-26 Last updated: 2019-02-27Bibliographically approved
Ljungblad, S., Serholt, S., Milosevic, T., Ni Bhroin, N., Toft Nørgård, R., Lindgren, P., . . . Obaid, M. (2018). Critical robotics: Exploring a new paradigm. In: Proc. 10th Nordic Conference on Human-Computer Interaction: . Paper presented at NordiCHI 2018, September 29 – October 3, Oslo, Norway (pp. 972-975). New York: ACM Press
Open this publication in new window or tab >>Critical robotics: Exploring a new paradigm
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2018 (English)In: Proc. 10th Nordic Conference on Human-Computer Interaction, New York: ACM Press, 2018, p. 972-975Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, we have witnessed a rise in voices advocating more human-centered and holistic approaches to research on robot technology. Towards this end, the adoption of broader perspectives and the exploration of critical questions related to the design and study of these technologies in everyday life have become increasingly pressing. In this workshop, we aim for researchers and industry experts to experience hands-on approaches to explore how we can address critical human-centered perspectives in robot research and whether critical questions within the area of Human-Robot Interaction (HRI) can be considered a new emerging paradigm: critical robotics. We invite people from a variety of disciplines both inside and outside of HRI and HCI (e.g., education, media and communication, philosophy of technology, applied ethics) to submit a short position paper and join us in an open exploration of this burning topic already identified by leading researchers in HRI and HCI.

Place, publisher, year, edition, pages
New York: ACM Press, 2018
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-368276 (URN)10.1145/3240167.3240267 (DOI)000455775700107 ()978-1-4503-6437-9 (ISBN)
Conference
NordiCHI 2018, September 29 – October 3, Oslo, Norway
Available from: 2018-09-29 Created: 2018-12-03 Last updated: 2019-02-11Bibliographically approved
Obaid, M., Kaipainen, K., Ahtinen, A. & Ocnarescu, I. (2018). Designing for experiences with socially interactive robots. In: Proc. 10th Nordic Conference on Human-Computer Interaction: . Paper presented at NordiCHI 2018, September 29 – October 3, Oslo, Norway (pp. 948-951). New York: ACM Press
Open this publication in new window or tab >>Designing for experiences with socially interactive robots
2018 (English)In: Proc. 10th Nordic Conference on Human-Computer Interaction, New York: ACM Press, 2018, p. 948-951Conference paper, Published paper (Refereed)
Abstract [en]

Socially interactive technologies are emerging as one of the predominant technologies of the future. In this workshop, we aim to discuss the emerging field of Social Robotic technologies with a particular focus on interaction design methodologies used in the design process. The workshop will investigate how researchers have approached designing social robots and what we can learn from the interaction design field for future designs. The main activities of the workshop will encompass two interactive sessions and a discussion panel on approaches to inspire the design of socially interactive robots. In particular, we focus on experience-driven design methods involving rituals and memorable experiences with social robots.

Place, publisher, year, edition, pages
New York: ACM Press, 2018
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-368271 (URN)10.1145/3240167.3240257 (DOI)000455775700101 ()978-1-4503-6437-9 (ISBN)
Conference
NordiCHI 2018, September 29 – October 3, Oslo, Norway
Available from: 2018-09-29 Created: 2018-12-03 Last updated: 2019-02-11Bibliographically approved
Obaid, M., Baykal, G. E., Yantaç, A. E. & Barendregt, W. (2018). Developing a prototyping method for involving children in the design of classroom robots. International Journal of Social Robotics, 10(2), 279-291
Open this publication in new window or tab >>Developing a prototyping method for involving children in the design of classroom robots
2018 (English)In: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 10, no 2, p. 279-291Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer, 2018
National Category
Interaction Technologies
Identifiers
urn:nbn:se:uu:diva-335355 (URN)10.1007/s12369-017-0450-7 (DOI)000428628900009 ()
Funder
Swedish Research Council, 2015-04378Swedish Foundation for Strategic Research , RIT15-0133
Available from: 2017-11-27 Created: 2017-12-04 Last updated: 2018-06-08Bibliographically approved
Obaid, M., Aylett, R., Barendregt, W., Basedow, C., Corrigan, L. J., Hall, L., . . . Castellano, G. (2018). Endowing a robotic tutor with empathic qualities: Design and pilot evaluation. International Journal of Humanoid Robotics, 15(6), Article ID 1850025.
Open this publication in new window or tab >>Endowing a robotic tutor with empathic qualities: Design and pilot evaluation
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2018 (English)In: International Journal of Humanoid Robotics, ISSN 0219-8436, Vol. 15, no 6, article id 1850025Article in journal (Refereed) Published
Abstract [en]

As increasingly more research efforts are geared towards creating robots that can teach and interact with children in educational contexts, it has been speculated that endowing robots with artificial empathy may facilitate learning. In this paper, we provide a background to the concept of empathy, and how it factors into learning. We then present our approach to equipping a robotic tutor with several empathic qualities, describing the technical architecture and its components, a map-reading learning scenario developed for an interactive multitouch table, as well as the pedagogical and empathic strategies devised for the robot. We also describe the results of a pilot study comparing the robotic tutor with these empathic qualities against a version of the tutor without them. The pilot study was performed with 26 school children aged 10–11 at their school. Results revealed that children in the test condition indeed rated the robot as more empathic than children in the control condition. Moreover, we explored several related measures, such as relational status and learning effect, yet no other significant differences were found. We further discuss these results and provide insights into future directions.

National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-368281 (URN)10.1142/S0219843618500251 (DOI)000455592000002 ()
Funder
EU, FP7, Seventh Framework Programme, ICT-317923Swedish Research Council, 2015-04378Swedish Foundation for Strategic Research , RIT15-0133
Available from: 2018-12-07 Created: 2018-12-03 Last updated: 2019-02-11Bibliographically approved
Jordan, P., Mubin, O., Obaid, M. & Silva, P. A. (2018). Exploring the referral and usage of science fiction in HCI literature. In: Design, User Experience, and Usability: Part II. Paper presented at DUXU 2018, July 15–20, Las Vegas, NV (pp. 19-38). Springer
Open this publication in new window or tab >>Exploring the referral and usage of science fiction in HCI literature
2018 (English)In: Design, User Experience, and Usability: Part II, Springer, 2018, p. 19-38Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2018
Series
Lecture Notes in Computer Science ; 10919
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-368267 (URN)10.1007/978-3-319-91803-7_2 (DOI)978-3-319-91802-0 (ISBN)
Conference
DUXU 2018, July 15–20, Las Vegas, NV
Available from: 2018-06-02 Created: 2018-12-03 Last updated: 2018-12-03Bibliographically approved
Gao, Y., Wallkötter, S., Obaid, M. & Castellano, G. (2018). Investigating deep learning approaches for human-robot proxemics. In: Proc. 27th International Symposium on Robot and Human Interactive Communication: . Paper presented at RO-MAN 2018, August 27–31, Nanjing, China (pp. 1093-1098). IEEE
Open this publication in new window or tab >>Investigating deep learning approaches for human-robot proxemics
2018 (English)In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 1093-1098Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we investigate the applicability of deep learning methods to adapt and predict comfortable human-robot proxemics. Proposing a network architecture, we experiment with three different layer configurations, obtaining three different end-to-end trainable models. Using these, we compare their predictive performances on data obtained during a human-robot interaction study. We find that our long short-term memory based model outperforms a gated recurrent unit based model and a feed-forward model. Further, we demonstrate how the created model can be used to create customized comfort zones that can help create a personalized experience for individual users.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-366204 (URN)10.1109/ROMAN.2018.8525731 (DOI)000494315600172 ()978-1-5386-7981-4 (ISBN)
Conference
RO-MAN 2018, August 27–31, Nanjing, China
Funder
Swedish Foundation for Strategic Research , RIT15-0133Swedish Research Council, 2015-04378
Available from: 2018-11-17 Created: 2018-11-17 Last updated: 2019-12-10Bibliographically approved
Gao, Y., Barendregt, W., Obaid, M. & Castellano, G. (2018). When robot personalisation does not help: Insights from a robot-supported learning study. In: Proc. 27th International Symposium on Robot and Human Interactive Communication: . Paper presented at RO-MAN 2018, August 27–31, Nanjing, China (pp. 705-712). IEEE
Open this publication in new window or tab >>When robot personalisation does not help: Insights from a robot-supported learning study
2018 (English)In: Proc. 27th International Symposium on Robot and Human Interactive Communication, IEEE, 2018, p. 705-712Conference paper, Published paper (Refereed)
Abstract [en]

In the domain of robotic tutors, personalised tutoring has started to receive scientists' attention, but is still relatively underexplored. Previous work using reinforcement learning (RL) has addressed personalised tutoring from the perspective of affective policy learning. However, little is known about the effects of robot behaviour personalisation on user's task performance. Moreover, it is also unclear if and when personalisation may be more beneficial than a robot that adapts to its users and the context of the interaction without personalising its behaviour. In this paper we build on previous work on affective policy learning that used RL to learn what robot's supportive behaviours are preferred by users in an educational scenario. We build a RL framework for personalisation that allows a robot to select verbal supportive behaviours to maximise the user's task progress and positive reactions in a learning scenario where a Pepper robot acts as a tutor and helps people to learn how to solve grid-based logic puzzles. A between-subjects design user study showed that participants were more efficient at solving logic puzzles and preferred a robot that exhibits more varied behaviours compared with a robot that personalises its behaviour by converging on a specific one over time. We discuss insights on negative effects of personalisation and report lessons learned together with design implications for personalised robots.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-366205 (URN)10.1109/ROMAN.2018.8525832 (DOI)000494315600112 ()978-1-5386-7981-4 (ISBN)
Conference
RO-MAN 2018, August 27–31, Nanjing, China
Funder
Swedish Research Council, 2015-04378Swedish Foundation for Strategic Research , RIT15-0133
Available from: 2018-11-17 Created: 2018-11-17 Last updated: 2019-12-10Bibliographically approved
Mubin, O., Patel, H., Khan, A. & Obaid, M. (2017). An image based non-verbal behaviour analysis of HRI. In: Social Robotics: . Paper presented at 9th International Conference on Social Robotics (ICSR), November 22–24, 2017, Tsukuba, Japan (pp. 23-31). Springer
Open this publication in new window or tab >>An image based non-verbal behaviour analysis of HRI
2017 (English)In: Social Robotics, Springer, 2017, p. 23-31Conference paper, Published paper (Refereed)
Abstract [en]

Acceptance and engagement of users towards social robots is the yardstick by which the success and efficacy of Human-Robot Interaction (HRI) is measured. Metrics such as acceptance and engagement are normally measured through subjective (such as interviews) or objective measures (such as non-verbal behaviour). In this study, we report on a methodologically novel process of monitoring non-verbal behaviour of humans in visual images with a social robot. We qualitatively code pictures of humans with the Nao robot as found on Instagram. We specifically coded the emotions of the users as depicted by their facial expressions as well as their social distance maintained towards the robot. Our results show that in general humans persist with an overall positive, enthusiastic and engaging behaviour towards the Nao. Moreover, females were found to be much more expressive in their responses towards the Nao as compared to males - a gender effect. We conclude with the implications of our results and possible avenues of future research on the topic of measuring human engagement with social robots through visual stimuli.

Place, publisher, year, edition, pages
Springer, 2017
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 10652
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-335357 (URN)10.1007/978-3-319-70022-9_3 (DOI)000449941100003 ()978-3-319-70021-2 (ISBN)978-3-319-70022-9 (ISBN)
Conference
9th International Conference on Social Robotics (ICSR), November 22–24, 2017, Tsukuba, Japan
Available from: 2017-10-24 Created: 2017-12-04 Last updated: 2019-02-28Bibliographically approved
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