Preliminary Interactions of Human-Robot Trust, Cognitive Load, and Robot Intelligence Levels in a Competitive Game
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novitzky-final-sigconf[1].pdf
Size
492.72 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Novitzky, Michael
Robinette, Paul Michael
Benjamin, Michael
Gleason, Karen K
Fitzgerald, Caileigh
Schmidt, Henrik
Date Issued
March 2018
Journal
HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
Publisher
ACM Press
Citation
Novitzky, Michael et al. "Preliminary Interactions of Human-Robot Trust, Cognitive Load, and Robot Intelligence Levels in a Competitive Game." HRI '18: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction (March 2018): 203-204
Version
Author's final manuscript
Abstract
This paper presents a pilot study in which we examine the interactions between human-robot teammate trust, cognitive load, and robot intelligence levels. In particular, we attempt to assess these interactions during a competitive game of capture the flag played between a human and a robot. We present results while the human plays against robots of different intelligence levels and determines their level of trust of each robot as a potential teammate through a post experiment questionnaire. We also present our exploration of heart rate measures as approximations of cognitive load. It is our goal to determine guidelines for future autonomy and interaction designers such that their systems will reduce cognitive load and increase the level of trust in robot teammates. This is an initial experiment that uses the least amount of vehicles yet still gathers competitive data on the water. Future experiments will increase in complexity to many opponents and many teammates.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3173386.3177000
