1. Optimizing Operator–Agent Interaction in Intelligent Adaptive Interface Design: A Conceptual Framework
- Author
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Ming Hou, Haibin Zhu, G G Arrabito, and MengChu Zhou
- Subjects
Situation awareness ,Computer science ,business.industry ,Interface (computing) ,Multi-agent system ,computer.software_genre ,Computer Science Applications ,Human-Computer Interaction ,Intelligent agent ,Knowledge-based systems ,Conceptual framework ,Control and Systems Engineering ,Embedded system ,Systems engineering ,Hierarchical control system ,Electrical and Electronic Engineering ,User interface ,Interface design ,business ,computer ,Software ,Information Systems ,User-centered design - 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 operator-agent 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.
- Published
- 2011
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