Exploring Human Preferences for Adapting Inappropriate Robot Navigation Behaviors: A Mixed-Methods Study

In social environment navigation, robots inevitably exhibit behaviors that are perceived as inappropriate by humans. Current robots lack the ability to adapt to such human perceptions, leading to repeated inappropriate behaviors. This study employs a mixed-methods approach to explore human-preferred...

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Bibliographic Details
Published in:IEEE robotics and automation letters Vol. 9; no. 12; pp. 11826 - 11833
Main Authors: Zhou, Yunzhong, Vroon, Jered, Kortuem, Gerd
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.12.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Cameras
Human factors
human factors and human-in-the-loop
Human in the loop
Human performance
Human-robot interaction
Interviews
methods and tools for robot system design
Navigation
physical human-robot interaction
Protocols
Qualitative analysis
Robot dynamics
Robot vision systems
Robots
Service robots
Social HRI
Surveys
ISSN:2377-3766, 2377-3766
Online Access:Get full text
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Summary:In social environment navigation, robots inevitably exhibit behaviors that are perceived as inappropriate by humans. Current robots lack the ability to adapt to such human perceptions, leading to repeated inappropriate behaviors. This study employs a mixed-methods approach to explore human-preferred robot adaptations, combining qualitative data from a series of human-robot interactions and a semi-structured interview, and quantitative data from an online survey. 12 participants were recruited to interact with a mobile robot in an indoor setting, reporting 139 instances of inappropriate robot behaviors. The subsequent semi-structured interviews regarding these instances yielded 9 types of inappropriate behaviors and 10 major types of human-preferred robot adaptations, ranging from general ones, such as stopping the motion, to more specific ones, like moving away and then stopping. Additionally, 12 human-preferred adaptations were selected from the interview data and presented to the same participants through an online survey to evaluate their effectiveness in addressing the inappropriate behaviors previously identified. The results reveal the human preference for the robot to move to the side and then stop in most scenarios, which might serve as a general adaptation for addressing inappropriate robot navigation behaviors.
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ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2024.3498432