Bittersweet Snapshots of Life: Designing to Address Complex Emotions in a Reminiscence Interaction between Older Adults and a Robot

要旨

Human-Computer Interaction and Human-Robot Interaction researchers have developed various reminiscence technologies for older adults, but the focus of such work has mostly been on making the technology usable and improving older adults' memory recall. Our study of a robot facilitating reminiscence through conversations about personal photographs with 20 older adults uncovered a less discussed aspect of such interactions: reminiscence can evoke both \textit{bitter} and \textit{sweet} emotions. Without adequate emotional sensitivity, the robot sometimes responded inappropriately, requiring researchers to intervene in the interaction to address misunderstandings. To understand how to better address these challenges, we conducted a follow-up co-design workshop with 7 older adults to explore how the robot could better support managing bittersweet emotions. Through reflexive thematic analysis of the two studies, this paper identifies factors that trigger bittersweet emotions during reminiscence with a robot and provides strategies for technology to manage these emotions during such interactions. This research highlights the importance of addressing emotional experiences in the design of reminiscence technology. It also raises ethical concerns about the emotional vulnerability of deploying one-on-one AI technologies for older adults.

著者
Long-Jing Hsu
Indiana University Bloomington, Bloomington, Indiana, United States
Manasi Swaminathan
Indiana University, Bloomington, Indiana, United States
Weslie Khoo
Indiana University, Bloomington, Indiana, United States
Kyrie Jig. Amon
Indiana University, Bloomington, Indiana, United States
Hiroki Sato
Indiana University Bloomington, Bloomington, Indiana, United States
Sathvika Dobbala
Indiana University-Bloomington, Bloomington, Indiana, United States
Kate Tsui
Toyota Research Institute, Cambridge, Massachusetts, United States
David Crandall
Indiana University, Bloomington, Indiana, United States
Selma Sabanovic
Indiana University, Bloomington, Indiana, United States
DOI

10.1145/3706598.3714256

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714256

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Elderly

G316+G317
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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