JACIII Vol.28 No.2 pp. 303-315
doi: 10.20965/jaciii.2024.p0303

Research Paper:

Gaze-Data-Based Probability Inference for Menu Item Position Effect on Information Search

Yutaka Matsushita ORCID Icon

Department of Media Informatics, Kanazawa Institute of Technology
3-1 Yatsukaho, Hakusan, Ishikawa 924-0838, Japan

April 24, 2023
October 24, 2023
March 20, 2024
eye movement, Bayesian network, information search, directed search, website

This study examines the effect of menu items placed around a slideshow at the center of a webpage on an information search. Specifically, the study analyzes eye movements of users whose search time is long or short on a mixed-type landing page and considers the cause in relation to “directed search” (which triggers a certain type of mental workload). To this end, a Bayesian network model is developed to elucidate the relation between eye movement measures and search time. This model allows the implementation degree of directed search to be gauged from the levels of the measures that characterize a long or short search time. The model incorporates probabilistic dependencies and interactions among eye movement measures, and hence it enables the association of various combinations of these measure levels with different browsing patterns, helping judge whether directed search is implemented or not. When viewers move their eyes in the direction opposite (identical) to the side on which the target information is located, the search time increases (decreases); this movement is a result of the menu items around the slideshow capturing viewers’ attention. However, viewers’ browsing patterns are not related to the initial eye movement directions, which may be classified into either a series of orderly scans (directed search) to reach the target or long-distance eye movements derived from the desire to promptly reach the target (undirected search). These findings suggest that the menu items of a website should not be basically placed around a slideshow, except in cases where they are intentionally placed in only one direction (e.g., left, right, or below).

Graph structure of Bayesian network

Graph structure of Bayesian network

Cite this article as:
Y. Matsushita, “Gaze-Data-Based Probability Inference for Menu Item Position Effect on Information Search,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.2, pp. 303-315, 2024.
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