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

Socpus ID

84884863407 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84884863407

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