TY - GEN
T1 - Perceived Appropriateness
T2 - 18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023
AU - Zhou, Yunzhong
PY - 2023
Y1 - 2023
N2 - Robots navigating in social environments inevitably exhibit behavior perceived as inappropriate by people, which they will repeat unless they are aware of them; hindering their social acceptance. This highlights the importance of robots detecting and adapting to the perceived appropriateness of their behavior, in line with what we found in a systematic literature review. Therefore, we have conducted experiments (both outdoor and indoor) to understand the perceived appropriateness of robot social navigation behavior, based on which we collected a dataset and developed a machine learning model for detecting such perceived appropriateness. To investigate the usefulness of such information and inspire robot adaptive navigation behavior design, we will further conduct aWoZ study to understand how trained human operators adapt robot behavior to people's feedback. In all, this work will enable robots to better remediate their inappropriate behavior, thus improving their social acceptance.
AB - Robots navigating in social environments inevitably exhibit behavior perceived as inappropriate by people, which they will repeat unless they are aware of them; hindering their social acceptance. This highlights the importance of robots detecting and adapting to the perceived appropriateness of their behavior, in line with what we found in a systematic literature review. Therefore, we have conducted experiments (both outdoor and indoor) to understand the perceived appropriateness of robot social navigation behavior, based on which we collected a dataset and developed a machine learning model for detecting such perceived appropriateness. To investigate the usefulness of such information and inspire robot adaptive navigation behavior design, we will further conduct aWoZ study to understand how trained human operators adapt robot behavior to people's feedback. In all, this work will enable robots to better remediate their inappropriate behavior, thus improving their social acceptance.
KW - Adaptive Behavior
KW - Human-Robot Interaction
KW - Perceived Appropriateness
KW - Social Navigation
KW - Social Signal Processing
UR - http://www.scopus.com/inward/record.url?scp=85150418224&partnerID=8YFLogxK
U2 - 10.1145/3568294.3579984
DO - 10.1145/3568294.3579984
M3 - Conference contribution
AN - SCOPUS:85150418224
T3 - ACM/IEEE International Conference on Human-Robot Interaction
SP - 781
EP - 783
BT - HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction
PB - IEEE
Y2 - 13 March 2023 through 16 March 2023
ER -