Olugbade, T;
Liang, H;
Maiolino, P;
Heylen, D;
Berthouze, N;
(2023)
Touch Technology in Affective Human, Robot,
Virtual-Human Interactions: A Survey.
Proceedings of the IEEE
10.1109/JPROC.2023.3272780.
(In press).
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Abstract
Given the importance of affective touch in human interactions, technology designers are increasingly attempting to bring this modality to the core of interactive technology. Advances in haptics and touch-sensing technology have been critical to fostering interest in this area. In this survey, we review how affective touch is investigated to enhance and support the human experience with or through technology. We explore this question across three different research areas to highlight their epistemology, main findings, and the challenges that persist. First, we review affective touch technology through the human–computer interaction literature to understand how it has been applied to the mediation of human–human interaction and its roles in other human interactions particularly with oneself, augmented objects/media, and affect-aware devices. We further highlight the datasets and methods that have been investigated for automatic detection and interpretation of affective touch in this area. In addition, we discuss the modalities of affective touch expressions in both humans and technology in these interactions. Second, we separately review how affective touch has been explored in human–robot and real-human–virtual-human interactions where the technical challenges encountered and the types of experience aimed at are different. We conclude with a discussion of the gaps and challenges that emerge from the review to steer research in directions that are critical for advancing affective touch technology and recognition systems. In our discussion, we also raise ethical issues that should be considered for responsible innovation in this growing area.
| Type: | Article |
|---|---|
| Title: | Touch Technology in Affective Human, Robot, Virtual-Human Interactions: A Survey |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/JPROC.2023.3272780 |
| Publisher version: | https://doi.org/10.1109/JPROC.2023.3272780 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. - This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant EP/V000748/1. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising. |
| Keywords: | Affective touch, HCI, HRI, human-computer interaction, human-human interaction, human-robot interaction, automatic recognition of affective touch, emotion, affective states, review, survey |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10169150 |
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