“Would You Please Help Me?” A Study on People's Reaction to a Tactile Paving Detection Robot

This paper presents AccessiBot, a tactile paving detection robot developed to address urban accessibility challenges. Beyond collecting real-time data for evidence-based governance, this study explores AccessiBot's potential to encourage citizen engagement. Using the Wizard-of-Oz methodology, we conducted an in-the-wild study to simulate real-world interactions and observe how people respond to the robot. Our observation findings show that people do help robots, and their engagement with the robot varied significantly, ranging from passive acknowledgement to active assistance. Besides, post-hoc interviews indicated that participants recognized the robot's social value.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974099
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

“Would You Please Help Me?” A Study on People's Reaction to a Tactile Paving Detection Robot

Xing Wu, Haipeng Mi, Wenjing Deng, Ziyi Cui et al.
Evacuation and Crowd Dynamics
article

“Would You Please Help Me?” A Study on People's Reaction to a Tactile Paving Detection Robot

Xing Wu, Haipeng Mi, Wenjing Deng, Ziyi Cui, Yijie Guo, Xinyan Deng
article en

Abstract

This paper presents AccessiBot, a tactile paving detection robot developed to address urban accessibility challenges. Beyond collecting real-time data for evidence-based governance, this study explores AccessiBot's potential to encourage citizen engagement. Using the Wizard-of-Oz methodology, we conducted an in-the-wild study to simulate real-world interactions and observe how people respond to the robot. Our observation findings show that people do help robots, and their engagement with the robot varied significantly, ranging from passive acknowledgement to active assistance. Besides, post-hoc interviews indicated that participants recognized the robot's social value.

University of Hong Kong (HK), Tsinghua University (CN)
Openalex Percentile: Top 87%
Evacuation and Crowd Dynamics
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