A cross-cultural study on information architecture: Culture differences on attention allocation to web components

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Abstract

A well-designed web information architecture (IA) supports the findability and usability of web content to ensure efficient and effective user experience. This study aims to investigate how web visitors from different cultures allocate their attention to the four main systems (labeling, organization, navigation, and searching) in IA. We conducted a user study comprised of observation tasks, sketch sessions, and questions regarding participants’ attention allocation, as well as background questionnaires regarding demographics, cultural dimensions, and personal traits. A total of 33 student participants from Taiwan (TW) and the US were recruited. Our preliminary results find that the less complicated content a website displays, the more participants are aware of IA and its components in general. We also found that US participants usually pay more attention to text labels on a webpage, whereas TW participants are more likely to evenly distribute their attention to both text and image objects. The ultimate goal of this study is to shed light on the topic of culture-specific IA in global web communities.

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Tang, G. M., Hu, H. Y., Chen, S. Y., & Jeng, W. (2020). A cross-cultural study on information architecture: Culture differences on attention allocation to web components. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12051 LNCS, pp. 391–408). Springer. https://doi.org/10.1007/978-3-030-43687-2_31

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