Automated adaptive support for task and information prioritizing

Authors:
Tjerk De Greef;Peter-Paul Van Maanen
Affiliations:
Department of Information Processing, TNO Human Factors, Soesterberg, The Netherlands;Department of Information Processing, TNO Human Factors, Soesterberg, The Netherlands and Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Venue:
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Year:
2005

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Abstract

This paper discusses a means for automatically supporting humans in information and task prioritizing. A new generic method based on the Competitive Task Model is described. Its implementation is able to calculate priorities of competing information entities, which provides a way of allocating tasks to the process operator. Due to a combination of dynamic states and information entities, it is usable as an adaptive control mechanism for attention and task allocation.