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Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation Tasks.

Authors :
Tsoi, Nathan
Sterneck, Rachel
Zhao, Xuan
Vázquez, Marynel
Source :
ACM Transactions on Human-Robot Interaction; Dec2024, Vol. 13 Issue 4, p1-19, 19p
Publication Year :
2024

Abstract

In Human–Robot Interaction, researchers typically utilize in-person studies to collect subjective perceptions of a robot. In addition, videos of interactions and interactive simulations (where participants control an avatar that interacts with a robot in a virtual world) have been used to quickly collect human feedback at scale. How would human perceptions of robots compare between these methodologies? To investigate this question, we conducted a 2 \({\times}\) 2 between-subjects study (N \({=}\) 160), which evaluated the effect of the interaction environment (Real vs. Simulated environment) and participants' interactivity during human-robot encounters (Interactive participation vs. Video observations) on perceptions about a robot (competence, discomfort, social presentation, and social information processing) for the task of navigating in concert with people. We also studied participants' workload across the experimental conditions. Our results revealed a significant difference in the perceptions of the robot between the real environment and the simulated environment. Furthermore, our results showed differences in human perceptions when people watched a video of an encounter versus taking part in the encounter. Finally, we found that simulated interactions and videos of the simulated encounter resulted in a higher workload than real-world encounters and videos thereof. Our results suggest that findings from video and simulation methodologies may not always translate to real-world human–robot interactions. In order to allow practitioners to leverage learnings from this study and future researchers to expand our knowledge in this area, we provide guidelines for weighing the tradeoffs between different methodologies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25739522
Volume :
13
Issue :
4
Database :
Complementary Index
Journal :
ACM Transactions on Human-Robot Interaction
Publication Type :
Academic Journal
Accession number :
180624193
Full Text :
https://doi.org/10.1145/3675784