187
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

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

, , &
Pages 1269-1282 | Received 28 Jun 2022, Accepted 02 Apr 2023, Published online: 03 May 2023
 

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.

Acknowledgements

We thank all the participants for carrying out the experiments.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is supported by the National Natural Science Foundation of China (grant number 62277038).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 333.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.