The impact of cognitive style on the level of satisfaction and image search behavior in the textual and content search system of Google Images

Abstract

Purpose

The purpose of this study aims to identify the impact of verbal-visual cognitive styles on the level of satisfaction and behavior in the textual and content search of Google Images.

Design/methodology/approach

“Riding” cognitive style test and satisfaction questionnaire were used as data collection tools. Also, to collect data related to the image search behavior, the subjects’ transaction files were recorded using Camtasia software and then the files observed and reviewed. The research sample was 90 postgraduate students of Shiraz University.

Findings

The results showed that cognitive styles in interaction with the text-based and content-based search system of “Google Images” affected user’s satisfaction. Text-based image retrieval, in which vocabulary-based information needs were expressed, was more compatible with the verbal cognitive style and resulted in greater satisfaction. In contrast, in content-based image retrieval, where it was possible to express information needs in the form of images, users were more satisfied with the visual cognitive style. Verbal users performed more positively in text-based search and visual users in content-based search.

Originality/value

Considering the research gap, which has identified the performance of visual text-based and content-based systems in terms of satisfaction and cognitive style search behavior, the present study could be considered a small effort to promote science.

Citation

Alvandi Poor, Z., Mirzabeigi, M. and Nabavi, M. (2022), "The impact of cognitive style on the level of satisfaction and image search behavior in the textual and content search system of Google Images", Aslib Journal of Information Management, Vol. 74 No. 1, pp. 19-36. https://doi.org/10.1108/AJIM-04-2021-0116