A computational model and classification framework for social navigation

Authors:
Mark O. Riedl
Affiliations:
IMG Laboratory, Department of Computer Science, North Carolina State University, Raleigh, NC
Venue:
Proceedings of the 6th international conference on Intelligent user interfaces
Year:
2001

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Abstract

Social navigation is the process of making navigational decisions in real or virtual environments based on social and communicative interaction with others. A computational model for social navigation is presented as an extension to an existing framework for general navigation, reducing decision-making to the minimization of cognitive costs. Consideration for social navigation gives rise to a classification framework based on the synchronicity, directness, and social presence during social interaction, each of which has direct effect on the cognitive costs of navigational tasks. Finally, a new recommender system, TRAILGUIDE, is presented as a tool that facilitates social navigation by allowing authors to explicitly publish "trails" within and between World Wide Web pages.