ロボット支援ウェルビーイングコーチングにおけるプライバシー認識：情報透明性、ユーザー制御、自発性の役割の検討
Privacy Perceptions in Robot-Assisted Well-Being Coaching: Examining the Roles of Information Transparency, User Control, and Proactivity
ウェルビーイングコーチングを行うソーシャルロボットについて、情報使用の透明性・ユーザー制御・自発的行動がプライバシー認識に与える影響をオンライン調査（N=200）で検証し、ユーザー制御が最も重要であることを示した。
詳しい要約
1. どんなもの？
2. 先行研究と比べてどこがすごい？
3. 技術・手法の肝は？
4. どうやって有効だと検証した？
5. 議論はある？
6. 次に読むべき論文は？
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Atikkhan Faridkhan Nilgar, Manuel Dietrich, Kristof Van Laerhoven
分類: cs.HC, cs.RO
原文アブストラクト
Social robots are increasingly recognized as valuable supporters in the field of well-being coaching. They can function as independent coaches or provide support alongside human coaches, and healthcare professionals. In coaching interactions, these robots often handle sensitive information shared by users, making privacy a relevant issue. Despite this, little is known about the factors that shape users' privacy perceptions. This research aims to examine three key factors systematically: (1) the transparency about information usage, (2) the level of specific user control over how the robot uses their information, and (3) the robot's behavioral approach - whether it acts proactively or only responds on demand. Our results from an online study (N = 200) show that even when users grant the robot general access to personal data, they additionally expect the ability to explicitly control how that information is interpreted and shared during sessions. Experimental conditions that provided such control received significantly higher ratings for perceived privacy appropriateness and trust. Compared to user control, the effects of transparency and proactivity on privacy appropriateness perception were low, and we found no significant impact. The results suggest that merely informing users or proactive sharing is insufficient without accompanying user control. These insights underscore the need for further research on mechanisms that allow users to manage robots' information processing and sharing, especially when social robots take on more proactive roles alongside humans.
関連論文
- 家庭用ロボットの意思決定におけるLLMのプライバシー認識のベンチマークHRI/プライバシー
- CONFIDANT：ソーシャルロボットのためのプライバシー制御機構HRI/プライバシー
- 家庭用テレプレゼンスロボットのプライバシー懸念に対するフレーミング効果HRI/プライバシー
