Attention to product images in an online retailing store: an eye-tracking study considering consumer goals and type of product

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Date
2022Version
Acceso abierto / Sarbide irekia
Type
Artículo / Artikulua
Version
Versión publicada / Argitaratu den bertsioa
Project Identifier
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108554RB-I00/ES/
Impact
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nodoi-noplumx
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Abstract
The visual content of the product area is crucial in an e-commerce site. This paper studies the differences in
attention to product images in the product area in e-commerce sites considering the effects of purchase stage and
product category. Attention to product images on websites is measured using eye-tracking in two experiments with
58 students and 66 subjects, with four product categories ...
[++]
The visual content of the product area is crucial in an e-commerce site. This paper studies the differences in
attention to product images in the product area in e-commerce sites considering the effects of purchase stage and
product category. Attention to product images on websites is measured using eye-tracking in two experiments with
58 students and 66 subjects, with four product categories and four purchase tasks in each one. Our results show that
pictures, in general, attract attention first, before the product names and price information. Furthermore, images attract
less total attention than textual information. Images attract less attention when they are not crucial for completing the
task, such as when purchasing a determined product or when locating product tracking information. Younger people
(less than 30) spend much less time viewing the product pictures than older age groups (50 or more). According to
our results, e-retailers could improve their sites’ performance by adapting the products’ presentation to the purchase
tasks and visitor characteristics. [--]
Subject
Attention,
Product image,
Purchase task,
Eye-tracking,
Web design
Publisher
California State University Press
Published in
Journal of Electronic Commerce Research 23(4), 257-281
Departament
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute for Advanced Research in Business and Economics - INARBE /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Sponsorship
This work is part of the R+D+i project PID2019-108554RB-I00 financed by the AEI, DOI 10.13039/501100011033