Embedding semantic information from pictures into cognitive modeling of web-navigation

Abstract Several attempts at cognitive modeling of web-navigation behaviour (SNIF-ACT, MESA, CoLiDeS, CoLiDeS+) have focused entirely on the semantic information derived from textual elements and repeatedly ignored the role played by graphical and visual information. While research on visual search...

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Bibliographic Details
Published in:Revue européenne de psychologie appliquée 2012-04, Vol.62 (2), p.83-92
Main Authors: Karanam, S, van Oostendorp, H, Puerta Melguizo, M.C, Indurkhya, B
Format: Article
Language:English
Subjects:
Cognitive ability
Cognitive modeling
Embedding
Graphics
Information graphique
Information scent
Information sémantique
Internal Medicine
Modélisation cognitive
Navigation sur le Web
Psychiatry
Reviews
Scents
Semantics
Visual perception
Visual system
Web-navigation
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Summary:Abstract Several attempts at cognitive modeling of web-navigation behaviour (SNIF-ACT, MESA, CoLiDeS, CoLiDeS+) have focused entirely on the semantic information derived from textual elements and repeatedly ignored the role played by graphical and visual information. While research on visual search has emphasized the efficiency of our visual system at perceiving salient objects, there have been no attempts at including information from the visual modality into cognitive models of web-navigation. This paper discusses a new approach to include semantic information from pictures into cognitive models of web-navigation and verifies its accuracy with a simulation done on a mock-up website. Results show that the optimal links that should be chosen to find the requested information are predicted more often and with greater information scent by this extended model than by the CoLiDeS model.
ISSN:1162-9088
1878-3457
DOI:10.1016/j.erap.2010.12.002