A cognitive-experiential approach to modelling web navigation

Authors:
Paul Van Schaik;Jonathan Ling
Affiliations:
Teesside University, School of Social Sciences and Law, Psychology subject group, Borough Road, Middlesbrough, Cleveland TS1 3BA, United Kingdom;University of Sunderland, Sunderland, United Kingdom
Venue:
International Journal of Human-Computer Studies
Year:
2012

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Abstract

Flow experience, the degree to which a person feels involved in a particular activity, is an important influence on human-computer interaction. Building on Guo and Poole's (2009) model of flow experience in Web navigation, and van Schaik and Ling's (in press) cognitive-experiential approach to modelling interaction experience, this research demonstrates the crucial role of the preconditions of flow experience in human-computer interaction. In an experiment, the preconditions of flow experience - but not flow experience proper - mediated the effects of artefact complexity, task complexity and intrinsic motivation (as a situation-specific trait) on both flow and task outcome. However, preconditions did not predict overall artefact evaluation. Within a staged model of flow experience, the broader implications of this work for human-computer interaction are explored.