Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
7-2017
Abstract
Online retail business has become an emerging market for almost all business owners. Online recommender systems provide better service to consumers during their decision making processes. In this study, a controlled lab experiment was conducted to assess the effect of recommendation timing (early, mid, and late) and recommendation source (expert reviews vs. consumer reviews) on online consumers’ interest and attention. Eye-tracking data was extracted from the experiment and analyzed. The results suggest that consumers show more interest in recommendation based on consumer reviews than expert reviews. Earlier recommendations do not receive greater attention than later recommendations.
Keywords
Online product recommendation, Eye tracking, Recommendation source, Recommendation timing
Discipline
Databases and Information Systems | E-Commerce | Graphics and Human Computer Interfaces
Publication
HCI in Business, Government and Organizations, Supporting Business: 4th International Conference, HCIBGO 2017, Vancouver, Canada, July 9-14, Proceedings, Part II
Volume
10924
First Page
95
Last Page
104
ISBN
9783319584843
Identifier
10.1007/978-3-319-58484-3_8
Publisher
Springer
City or Country
Cham
Citation
SHI, Yan; ZENG, Qing; NAH, Fiona Fui-hoon; TAN, Chuan-Hoo; SIA, Choon Ling; SIAU, Keng; and YAN, Jiaqi.
Effect of timing and source of online product recommendations: An eye-tracking study. (2017). HCI in Business, Government and Organizations, Supporting Business: 4th International Conference, HCIBGO 2017, Vancouver, Canada, July 9-14, Proceedings, Part II. 10924, 95-104.
Available at: https://ink.library.smu.edu.sg/sis_research/9981
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-319-58484-3_8
Included in
Databases and Information Systems Commons, E-Commerce Commons, Graphics and Human Computer Interfaces Commons