For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

Teesside University

Return to search Previous output Next output
Output 2 of 43 in the submission
Article title

A cognitive-experiential approach to modelling web navigation

Type
D - Journal article
Title of journal
International Journal of Human-Computer Studies
Article number
-
Volume number
70
Issue number
9
First page of article
630
ISSN of journal
10715819
Year of publication
2012
Number of additional authors
1
Additional information

<20> Building on the work by Guo and Poole (2009), a staged model of Flow Experience of human-computer interaction is proposed and applied to web navigation. This work 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. Based on the staged model of Flow Experience, a novel research framework is provided for understanding determinants and consequents of Flow Experience.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-