Title
An Investigation Of Human Decision-Making In A Human-Robot Team Task
Abstract
This paper presents initial insights from an exploratory analysis of human decision making in a human-robot teaming scenario. A cognitive model in the form of a decision tree was developed using local and national police foot pursuit protocols. Participants were asked to read through a series of hypothetical scenarios involving a Soldier and a robot engaging in a foot pursuit of a person of interest. Participants made decisions at each node of the decision tree and then a tactical decision concerning which member of the team should engage in the pursuit. Initial results revealed that individual decision nodes were not associated with participants' choice in who should engage in the pursuit. Trust in robots, however, was significantly associated with the participants' choices.
Publication Date
1-1-2014
Publication Title
Proceedings of the Human Factors and Ergonomics Society
Volume
2014-January
Number of Pages
315-319
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1541931214581065
Copyright Status
Unknown
Socpus ID
84983120988 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84983120988
STARS Citation
Phillips, Elizabeth; Ososky, Scott; and Jentsch, Florian, "An Investigation Of Human Decision-Making In A Human-Robot Team Task" (2014). Scopus Export 2010-2014. 8912.
https://stars.library.ucf.edu/scopus2010/8912