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Pederson, Thomas
Publications (3 of 3) Show all publications
Ovesdotter Alm, C., Alvarez, A., Font, J., Liapis, A., Pederson, T. & Salo, J. (2020). Workshop on Invisible AI-driven HCI Systems: When, Why and How. In: Ilja Šmorgun, Gerd Berget (Ed.), NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction, Extended Abstract: Shaping Experiences, Shaping Society. Paper presented at NordiCHI '20, the 11th Nordic Conference on Human-Computer Interaction, Tallinn, Estonia, October, 2020. ACM Digital Library
Open this publication in new window or tab >>Workshop on Invisible AI-driven HCI Systems: When, Why and How
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2020 (English)In: NordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction, Extended Abstract: Shaping Experiences, Shaping Society / [ed] Ilja Šmorgun, Gerd Berget, ACM Digital Library, 2020Conference paper, Published paper (Refereed)
Abstract [en]

The InvisibleAI (InvAI’20) workshop aims to systematically discuss a growing class of interactive systems that invisibly remove some decision-making tasks away from humans to machines, based on recent advances in artificial intelligence (AI), data science, and sensor or actuation technology. While the interest in the affordances as well as the risks of hidden pervasive AI are high on the agenda in public debate, discussion on the topic is needed within the human-computer interaction (HCI) community. In particular, we want to gather insights, ideas, and models for approaching the use of barely noticeable AI decision-making in systems design from a human-centered perspective, so as to make the most out of the automated systems and algorithms that support human activity both as designers and users. Concurrently, these systems should safeguard that humans remain in charge when it counts (high stakes decisions, privacy, monitoring lack of explainability and fairness, etc.). What to automate and what not to automate is often a system designer’s choice [8]. By taking the established concept of explicit interaction between a system and its user as a point of departure, and inviting authors to provide examples from their own research, we aim to stimulate dynamic discussion while keeping the workshop concrete and system design-focused. The workshop especially directs itself to participants from the interaction design, AI, and HCI communities. The targeted scientific outcome of the workshop is an up-to-date ontology of invisible AI-HCI systems and hybrid human-AI collaboration mechanisms, and approaches. Additionally, we expect that the workgroups and the roundtables will provide starting points shaping continued discussions, new collaborations, and innovative scientific contributions that springboard from the workgroups’ findings. The focus of the proposed workshop involves the bridging of two spaces of computational research that impact user experiences and societal domains (HCI and AI). Thus, the proposed workshop topic aligns well with the theme of this year’s NordiCHI conference which is Shaping Experiences, Shaping Society.

Place, publisher, year, edition, pages
ACM Digital Library, 2020
Keywords
Human-computer interaction, artificial intelligence, human-machine collaboration
National Category
Computer Systems
Research subject
Interaktionsdesign
Identifiers
urn:nbn:se:mau:diva-37734 (URN)10.1145/3419249.3420099 (DOI)2-s2.0-85123040047 (Scopus ID)978-1-4503-7579-5 (ISBN)
Conference
NordiCHI '20, the 11th Nordic Conference on Human-Computer Interaction, Tallinn, Estonia, October, 2020
Available from: 2021-01-04 Created: 2021-01-04 Last updated: 2023-10-24Bibliographically approved
Jalaliniya, S., Pederson, T. & Mardanbegi, D. (2017). A Wearable Personal Assistant for Surgeons: Design, Evaluation, and Future Prospects (ed.). EAI Endorsed Transactions on Pervasive Health and Technology, 3(12), Article ID e1.
Open this publication in new window or tab >>A Wearable Personal Assistant for Surgeons: Design, Evaluation, and Future Prospects
2017 (English)In: EAI Endorsed Transactions on Pervasive Health and Technology, ISSN 2411-7145, Vol. 3, no 12, article id e1Article in journal (Refereed) Published
Abstract [en]

In this paper, we present our body-and-mind-centric approach for the design of wearable personal assistants (WPAs) motivated by the fact that such devices are likely to play an increasing role in everyday life. We also report on the utility of such a device for orthopedic surgeons in hospitals. A prototype of the WPA was developed on Google Glass for supporting surgeons in three di↵erent scenarios: (1) touch-less interaction with medical images, (2) tele-presence during surgeries, and (3) mobile access to Electronic Patient Records (EPR) during ward rounds. We evaluated the system in a clinical simulation facility and found that while the WPA can be a viable solution for touch-less interaction and remote collaborations during surgeries, using the WPA in the ward rounds might interfere with social interaction between clinicians and patients. Finally, we present our ongoing exploration of gaze and gesture as alternative input modalities for WPAs inspired by the hospital study.

Place, publisher, year, edition, pages
EAI, 2017
Keywords
Wearable Personal Assistant, Google Glass, Hospital Work, Human-Computer Interaction, Pervasive Health
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mau:diva-16064 (URN)10.4108/eai.7-9-2017.153066 (DOI)23760 (Local ID)23760 (Archive number)23760 (OAI)
Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2022-06-27Bibliographically approved
Jalaliniya, S., Pederson, T. & Mardanbegi, D. (2017). Symbiotic Attention Management in the Context of Internet of Things (ed.). In: (Ed.), UbiComp '17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers: . Paper presented at The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2017 ACM International Symposium on Wearable Computers (UbiComp '17), Maui, Hawaii, USA (Sept. 11-15) (pp. 941-946). Association for Computing Machinery (ACM)
Open this publication in new window or tab >>Symbiotic Attention Management in the Context of Internet of Things
2017 (English)In: UbiComp '17 Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, Association for Computing Machinery (ACM), 2017, p. 941-946Conference paper, Published paper (Refereed)
Abstract [en]

In this position paper we stress the need for considering the nature of human attention when designing future potentially interruptive IoT and propose to let IoT devices share attention-related data and collaborate on the task of drawing human attention in order to achieve higher quality attention management with less overall system resources. Finally, we categorize some existing strategies for drawing people’s attention according to a simple symbiotic (human- machine) attention management framework.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2017
Keywords
Eye tracking, Attention-aware systems, Internet of Things, Human-Computer Interaction, Ubiquitous Computing, Smart Environments
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mau:diva-16830 (URN)10.1145/3123024.3124559 (DOI)000426932500176 ()2-s2.0-85030831367 (Scopus ID)23806 (Local ID)23806 (Archive number)23806 (OAI)
Conference
The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2017 ACM International Symposium on Wearable Computers (UbiComp '17), Maui, Hawaii, USA (Sept. 11-15)
Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2024-02-05Bibliographically approved
Projects
Step Out Malmö - explore tomorrow’s sustainable and innovative working life – outdoors; Malmö University, Faculty of Culture and Society (KS), Department of Urban Studies (US)Behaviour change caused by various degrees of digitalisation in tabletop gameplay – An Egocentric Interaction Interventions pilot project
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