Title
Human Considerations In The Application Of Cognitive Decision Models For Hri
Keywords
human-robot interaction; mental models; perception of behavior
Abstract
In order for autonomous robots to succeed as useful teammates for humans, it is necessary to examine the lens through which human users view, understand, and predict robotic behavior and abilities. To further study this, we conducted an experiment in which participants viewed video segments of a robot in a task-oriented environment, and were asked to explain what the robot was doing, and would likely do next. Results showed that participants' perceived knowledge of the robot increased with additional exposures over time; however participant responses to open-ended questions about the robot's behavior and functions remained divergent over multiple scenarios. A discussion of the implications of apparent differences in human interpretation and prediction of robotic behavior and functionality is presented. © 2013 Springer-Verlag Berlin Heidelberg.
Publication Date
1-1-2013
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
8021 LNCS
Issue
PART 1
Number of Pages
295-303
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-642-39405-8_33
Copyright Status
Unknown
Socpus ID
84884863407 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84884863407
STARS Citation
Ososky, Scott; Jentsch, Florian; and Phillips, Elizabeth, "Human Considerations In The Application Of Cognitive Decision Models For Hri" (2013). Scopus Export 2010-2014. 7708.
https://stars.library.ucf.edu/scopus2010/7708