Exploring Adjustable Autonomy and Addressing User Concerns in Intelligent Environments

Various approaches to the configuration and control of intelligent environments have been researched in the past. The majority of these however, make use of either exclusively autonomous or exclusively end-user driven techniques which, in certain situations, may be an issue. A number of users may be reluctant to allow an autonomous system to monitor and interpret every action they take while, on the other hand, some users may be unable or unwilling to program and configure such a complex (end-user driven) system alone. This work-in-progress paper outlines our preliminary work aimed at exploring a solution to this issue by investigating the possibility of creating a hybrid autonomous-agent/end-user driven system that enables the user to set the level of autonomy for any given part of an intelligent environment. The principle contributions of this paper are to expose the issues regarding intelligent environment management systems, to give a comprehensive review of related work on adjustable autonomy and to present a conceptual model and an autonomy metric that can be used as a foundation of future research into developing hybrid autonomous-agent/end-user driven systems. This work forms part of an ongoing three year research project, funded by BT, that seeks to understand and address user concerns with the aim of equipping intelligent environments with better management systems and, furthermore, making intelligent environments more commercially deployable. Given the ongoing nature of this work, we propose to report any significant progress of this research at subsequent IE conferences until this work is complete.