How Does Delegation in Social Interaction Evolve Over Time? Navigation with a Robot for Blind People

要旨

Autonomy and independent navigation are vital to daily life but remain challenging for individuals with blindness. Robotic systems can enhance mobility and confidence by providing intelligent navigation assistance. However, fully autonomous systems may reduce users’ sense of control, even when they wish to remain actively involved. Although collaboration between user and robot has been recognized as important, little is known about how perceptions of this relationship change with repeated use. We present a repeated exposure study with six blind participants who interacted with a navigation-assistive robot in a real-world museum. Participants completed tasks such as navigating crowds, approaching lines, and encountering obstacles. Findings show that participants refined their strategies over time, developing clearer preferences about when to rely on the robot versus act independently. This work provides insights into how strategies and preferences evolve with repeated interaction and offers design implications for robots that adapt to user needs over time.

著者
Rayna Hata
Carnegie Mellon University , Pittsburgh , Pennsylvania, United States
Masaki Kuribayashi
Waseda University, Tokyo, Japan
Allan Wang
Miraikan - The National Museum of Emerging Science and Innovation, Tokyo, Japan
Hironobu Takagi
IBM Research - Tokyo, Tokyo, Japan
Chieko Asakawa
Miraikan - The National Museum of Emerging Science and Innovation, Tokyo, Japan

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Movement and Going Places

P1 - Room 134
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00