Optimizing operatoragent interaction in intelligent adaptive interface design: A conceptual framework

Document Type

Article

Publication Date

3-1-2011

Abstract

Intelligent adaptive interfaces (IAIs) are emerging technologies that promise opportunities for enhancing performance in complex sociotechnical environments, such as multiple uninhabited aerial vehicle (UAV) control. However, a lack of established design guidelines for such advanced interfaces makes many designs costly and ineffective. In this paper, a generic conceptual framework for developing IAIs is proposed to guide interface design. The framework integrates a user-centered design approach with the concept of proactive use of adaptive intelligent agents (AIAs), aiming at maximizing overall system performance. Based on existing design approaches, identified challenges, and IAI design needs, the framework uses a multiple-agent hierarchical structure to allocate tasks between operators and agents for optimizing operatoragent interaction. These AIAs provide interface aids as a means of reducing operator workload, and increasing situation awareness and operational effectiveness. The framework and associated IAI models provide guidance to design a knowledge-based system, such as a UAV control station interface. © 2011 IEEE.

Identifier

79951955009 (Scopus)

Publication Title

IEEE Transactions on Systems Man and Cybernetics Part C Applications and Reviews

External Full Text Location

https://doi.org/10.1109/TSMCC.2010.2052041

ISSN

10946977

First Page

161

Last Page

178

Issue

2

Volume

41

Grant

262075-06

Fund Ref

Defence Research and Development Canada

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