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Exploring the Impact of Verbal-Imagery Cognitive Style on Web Search Behaviour and Mental Workload

Tang, Huimin; Benerradi, Johann; Maior, Horia A.; Pike, Matthew; Landowska, Aleksandra; Wilson, Max L.

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Authors

Huimin Tang

Johann Benerradi

HORIA MAIOR Horia.Maior@nottingham.ac.uk
Transitional Assistant Professor

Matthew Pike

ALEKSANDRA LANDOWSKA Aleksandra.Landowska@nottingham.ac.uk
research Fellow - Fnirs Nci Longitudinal Studies



Abstract

Cognitive style has been shown to influence users’ interaction with search interfaces. However, as a fundamental dimension of cognitive styles, the relationship between the Verbal-Imagery (VI) cognitive style dimension and search behaviour has not been studied thoroughly, and it is not clear whether VI cognitive style can be used to inform search user interface design. We present a study (N=29), investigating how search behaviour and mental workload (MWL) changes relate to VI cognitive styles by examining participants’ search behaviour across three increasingly complex tasks. MWL was subjectively rated by participants, and blood oxygenation changes in the prefrontal cortex were measured using functional near-infrared spectroscopy (fNIRS).

Our results revealed a significant difference between verbalisers and imagers in search behaviour. In particular, verbalisers preferred a Sporadic navigation style and adopted the Scanning strategy as they processed information, according to their viewing and bookmarking patterns, whereas imagers preferred the Structured navigation style and reading information in detail. The fNIRS data showed that verbalisers had significantly higher blood oxygenation in the prefrontal cortex when using the same search interface, suggesting a higher MWL than imagers. When based on task complexity bias, the search time significantly increased as task complexity increased, but there were no significant differences in search behaviours. Our study indicated that VI cognitive styles have a noticeable and stronger impact on users’ searching behaviour and their MWL when interacting with the same interface than task complexity, which can be considered further in future search behaviour studies and search user interface design.

Conference Name CHIIR '24: Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval
Conference Location Sheffield, UK
Start Date Mar 10, 2024
End Date Mar 14, 2024
Acceptance Date Jan 23, 2024
Online Publication Date Mar 10, 2024
Publication Date Mar 10, 2024
Deposit Date Mar 12, 2024
Publicly Available Date Mar 14, 2024
Publisher Association for Computing Machinery (ACM)
Pages 303–316
DOI https://doi.org/10.1145/3627508.3638313
Public URL https://nottingham-repository.worktribe.com/output/32180110
Publisher URL https://dl.acm.org/doi/10.1145/3627508.3638313
Additional Information Published: 2024-03-10

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