Title

Augmenting Robot Behaviors Using Physiological Measures

Keywords

Human Robot Interaction; Implicit Communication; Multi-Modal Communion; Physiological Measures for State Measurement

Abstract

In recent years, advancements in Unmanned Systems have allowed Human Robot Interaction (HRI) to transition from direct remote control to autonomous systems capable of self-navigation. However, these new technologies do not yet support true mixed-initiative solider-robot teaming where soldiers work with another agent as if it were another human being. In order to achieve this goal, researchers must explore new types of multi-modal and natural communication strategies and methods to provide robots improved understanding of their human counterparts' thought process. Physiological sensors are continuously becoming more portable and affordable leading to the possibility of providing new insight of team member state to a robot team member. However, steps need to be taken to improve how affective and cognitive states are measured and how these new metrics can be used to augment the decision making process for a robot team member. This paper describes current state of the art and next steps needed for accurate profile creation for improved human robot team performance. © 2011 Springer-Verlag.

Publication Date

7-19-2011

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

6780 LNAI

Number of Pages

567-572

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-642-21852-1_65

Socpus ID

79960314291 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/79960314291

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