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Attempts to Attract Eyesight in E-Commerce May Have Negative Effects

Authors :
Piotr Sulikowski
Konrad Ryczko
Iwona Bąk
Soojeong Yoo
Tomasz Zdziebko
Source :
Sensors, Vol 22, Iss 22, p 8597 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

E-commerce shop owners often want to attract user attention to a specific product to enhance the chances of sales, to cross-sell, or up-sell. The way of presenting a recommended item is as important as the recommendation algorithms are to gain that attention. In this study, we examined the following types of highlights: background, shadow, animation, and border, as well as the position of the item in a 5 × 2 grid in a furniture online store, and their relationships with user fixations and user interest. We wanted to verify the effects highlighting had on attracting user attention. Various levels of intensity were considered for each highlight: low, medium, and strong. Methods used for data collection were both implicit and explicit: eye tracking, tracking cart’s contents, and a supplementary survey. Experimental results showed that a low-intensity background highlight should be the first-choice solution to best attract user attention in the presented shopping scenario, resulting in the best fixation times and most users’ selections. However, in the case of the highest-intensity animations, highlighting seemed to have negative effects; despite successful attempts to attract eyesight and a long fixation time, users did not add the highlighted products to cart.

Details

Language :
English
ISSN :
14248220
Volume :
22
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.164b9403834431599e72c534a31a448
Document Type :
article
Full Text :
https://doi.org/10.3390/s22228597