A study on users’ attention distribution to product features under different emotions

Tianjiao Zhao, Xinyue Zhang, Hechen Zhang and Yafei Meng

Behaviour and Information Technology, 2024, vol. 43, issue 7, 1269-1282

Abstract: With the development of intelligent products, products are increasingly able to provide personalised feedback to users. Product designs must meet users’ emotional needs to deliver a positive experience. The current study examined emotional design, focusing on emotional arousal and methods for converting users from negative to positive emotional states. However, products are typically used in an emotional context with a specific usage scenario. Integrating emotional elements into a design can reveal users’ concerns and needs, enabling user-centered emotional design. The current study examined the distribution of users’ attention to product features under different emotional conditions. On the basis of the theory of visual attention, this study used emotional induction methodology and eye-tracking technology to observe users’ attention to different product features after the induction of three different emotional states. We established a labeled product feature database and explored the influence of emotional scenes on user preferences. These research findings can provide theoretical support for emotional design of products under specific emotional scenarios and effectively guide designers to arrange design elements.

Date: 2024
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DOI: 10.1080/0144929X.2023.2207681

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