Title

Cognitive Models Of Decision Making Processes For Human-Robot Interaction

Keywords

ACT-R; cognitive architectures; cognitive modeling; decision trees; Human-robot interaction; shared mental models

Abstract

A fundamental aspect of human-robot interaction is the ability to generate expectations for the decisions of one's teammate(s) in order to coordinate plans of actions. Cognitive models provide a promising approach by allowing both a robot to model a human teammate's decision process as well as by modeling the process through which a human develops expectations regarding its robot partner's actions. We describe a general cognitive model developed using the ACT-R cognitive architecture that can apply to any situation that could be formalized using decision trees expressed in the form of instructions for the model to execute. The model is composed of three general components: instructions on how to perform the task, situational knowledge, and past decision instances. The model is trained using decision instances from a human expert, and its performance is compared to that of the expert. © 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

285-294

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-39405-8_32

Socpus ID

84884852116 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84884852116

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