• Sorted by Date • Classified by Publication Type • Classified by Topic • Sorted by First Author Last Name •
Elliott Hauser, Yao-Cheng Chan, Geethika Hemkumar, Daksh Dua, Parth Chonkar, Efren Mendoza Enriquez, Tiffany Kao, Shikhar Gupta, Huihai Wang, Justin Hart, Reuth Mirsky, Joydeep Biswas, Junfeng Jiao, and Peter Stone. "What's That Robot Doing Here?": Factors Influencing Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. In Proceedings of the First International Symposium on Trustworthy Autonomous Systems (TAS '23), pp. 1–15, July 2023.
Available online at https://dl.acm.org/doi/10.1145/3597512.3599707
Autonomous service robots in a public setting will generate hundreds of incidental human-robot encounters, yet researchers have only recently addressed this important topic in earnest. In this study, we hypothesized that visual indicators of human control, such as a leash on a robot, would impact humans' perceptions of robots in the context of human-robot encounters. A pilot study (n = 26) and a revised study (n = 22) including semi-structured interviews (n = 21) were conducted. The interview data suggested that the presence of another human during the encounter elicited positive reactions from the participants. Counter to these interview findings, the Godspeed-based survey data yielded largely statistically insignificant results between the conditions. We interpret this as evidence that traditional HRI survey instruments focused on the perception of robot characteristics may not be suitable for incidental human-robot encounters research. We suggest that human-robot encounters can be meaningfully characterized by participants' ability or inability to answer implicit questions such as, "what is that robot doing here?". We conclude with recommendations for human-robot encounters research methods and call for research on the intelligibility and acceptability of perceived robot purpose during human-robot encounters.
@InProceedings{TAS23,
author="Elliott Hauser and Yao-Cheng Chan and Geethika Hemkumar and Daksh Dua and Parth Chonkar and Efren Mendoza Enriquez and Tiffany Kao and Shikhar Gupta and Huihai Wang and Justin Hart and Reuth Mirsky and Joydeep Biswas and Junfeng Jiao and Peter Stone",
title={"What's That Robot Doing Here?": Factors Influencing Perceptions Of Incidental Encounters With Autonomous Quadruped Robots},
booktitle="Proceedings of the First International Symposium on Trustworthy Autonomous Systems (TAS '23)",
month="July",year="2023",
pages="1--15",
doi="10.1145/3597512.3599707",
abstract={
Autonomous service robots in a public setting will generate
hundreds of incidental human-robot encounters, yet
researchers have only recently addressed this important
topic in earnest. In this study, we hypothesized that
visual indicators of human control, such as a leash on a
robot, would impact humans' perceptions of robots in the
context of human-robot encounters. A pilot study (n = 26)
and a revised study (n = 22) including semi-structured
interviews (n = 21) were conducted. The interview data
suggested that the presence of another human during the
encounter elicited positive reactions from the
participants. Counter to these interview findings, the
Godspeed-based survey data yielded largely statistically
insignificant results between the conditions. We interpret
this as evidence that traditional HRI survey instruments
focused on the perception of robot characteristics may not
be suitable for incidental human-robot encounters
research. We suggest that human-robot encounters can be
meaningfully characterized by participants' ability or
inability to answer implicit questions such as, "what is
that robot doing here?". We conclude with recommendations
for human-robot encounters research methods and call for
research on the intelligibility and acceptability of
perceived robot purpose during human-robot encounters.
},
wwwnote={Available online at <a href="https://dl.acm.org/doi/10.1145/3597512.3599707">https://dl.acm.org/doi/10.1145/3597512.3599707</a>},
}
Generated by bib2html.pl (written by Patrick Riley ) on Tue Nov 19, 2024 10:29:30