TY - JOUR
T1 - Optimizing operatoragent interaction in intelligent adaptive interface design
T2 - A conceptual framework
AU - Hou, Ming
AU - Zhu, Haibin
AU - Zhou, Mengchu
AU - Arrabito, G. Robert
N1 - Funding Information:
Manuscript received June 26, 2009; revised February 2, 2010; accepted May 15, 2010. Date of publication July 12, 2010; date of current version February 16, 2011. This work was supported in part by National Sciences and Engineering Research Council of Canada under Grant 262075-06 and in part by the Defence Research and Development Canada under Contract W7711-083931/001/TOR. This paper was recommended by Associate Editor L. B. Sheremetov.
PY - 2011/3
Y1 - 2011/3
N2 - 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.
AB - 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.
KW - Adaptive intelligent agent (AIA)
KW - human-automation interaction
KW - human-computer interface
KW - intelligent adaptive interface (IAI)
KW - operator interface design
KW - operator-agent interaction
KW - uninhabited aerial vehicle (UAV)
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U2 - 10.1109/TSMCC.2010.2052041
DO - 10.1109/TSMCC.2010.2052041
M3 - Review article
AN - SCOPUS:79951955009
SN - 1094-6977
VL - 41
SP - 161
EP - 178
JO - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
JF - IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
IS - 2
M1 - 5508315
ER -