Abstract
With the increasing complexity of systems and information overload, agent technology has become widely used to provide personalized advice (help message) to users with their computer-based tasks. The purpose of this study is to investigate the way to optimize advice provided by the intelligent agent from a decision theoretic perspective. The study utilizes the time associated with processing a help message as the trade-off criterion of whether to present a help message or not. The proposed approach is expected to provide guidance as to where, when and why help messages are likely to be effective or ineffective by providing quantitative predictions of value of help messages in time.
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Kim, C., Lehto, M.R. (2007). Decision Theoretic Perspective on Optimizing Intelligent Help. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_38
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DOI: https://doi.org/10.1007/978-3-540-73110-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73108-5
Online ISBN: 978-3-540-73110-8
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