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Graspable AI: Physical Forms as Explanation Modality for Explainable AI
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Culture and Society (KS), School of Arts and Communication (K3).ORCID iD: 0000-0003-1852-3937
Pennsylvania State University, USA.ORCID iD: 0000-0002-6864-6065
Dataminr, USA.
KTH Royal Institute of Technology.ORCID iD: 0000-0002-0002-4825
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2022 (English)In: TEI '22: Proceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction, New York, USA: Association for Computing Machinery (ACM), 2022, Vol. 53, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Explainable AI (XAI) seeks to disclose how an AI system arrives at its outcomes. But the nature of the disclosure depends in part on who needs to understand the AI and the available explanation modalities (e.g., verbal and visual). Users’ preferences regarding explanation modalities might differ, as some might prefer spoken explanations compared to visual ones. However, we argue for broadening the explanation modalities, to consider also tangible and physical forms. In traditional product design, physical forms have mediated people’s interactions with objects; more recently interacting with physical forms has become prominent with IoT and smart devices, such as smart lighting and robotic vacuum cleaners. But how tangible interaction can support AI explanations is not yet well understood.

In this second studio proposal on Graspable AI (GAI) we seek to explore design qualities of physical forms as an explanation modality for XAI. We anticipate that the design qualities of physical forms and their tangible interactivity can not only contribute to the explainability of AI through facilitating dialogue, relationships and human empowerment, but they can also contribute to critical and reflective discourses on AI. Therefore, this proposal contributes to design agendas that expand explainable AI into tangible modalities, supporting a more diverse range of users in their understanding of how a given AI works and the meanings of its outcomes.

Place, publisher, year, edition, pages
New York, USA: Association for Computing Machinery (ACM), 2022. Vol. 53, p. 1-4
Keywords [en]
Tangible Interaction, Explainable AI, Human-Centered AI
National Category
Computer Sciences Human Aspects of ICT Design
Research subject
Interaktionsdesign
Identifiers
URN: urn:nbn:se:mau:diva-50373DOI: 10.1145/3490149.3503666ISI: 000940778800053Scopus ID: 2-s2.0-85124973762ISBN: 978-1-4503-9147-4 (print)OAI: oai:DiVA.org:mau-50373DiVA, id: diva2:1641093
Conference
TEI '22: Sixteenth International Conference on Tangible, Embedded,and Embodied Interaction Daejeon Republic of Korea, February 13 - 16, 2022
Available from: 2022-02-28 Created: 2022-02-28 Last updated: 2023-12-13Bibliographically approved

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Ghajargar, Maliheh

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