Effect of Timing and Source of Online Product Recommendations: An Eye-Tracking Study
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.
Recommended Citation
Shi, Y., Zeng, Q., Nah, F. F., Tan, C., Sia, C. L., Siau, K., & Yan, J. (2017). Effect of Timing and Source of Online Product Recommendations: An Eye-Tracking Study. Lecture Notes in Computer Science, 10294, pp. 95-104. Springer Verlag.
The definitive version is available at https://doi.org/10.1007/978-3-319-58484-3_8
Meeting Name
4th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2017 (2017: Jul. 9-14, Vancouver, Canada)
Department(s)
Business and Information Technology
Keywords and Phrases
Logic programming; Timing circuits; Decision making process; Emerging markets; Eye-tracking; Eye-tracking studies; Online product recommendations; Online recommender systems; Recommendation source; Recommendation timing; Online systems; Eye tracking
International Standard Book Number (ISBN)
978-3-319-58483-6
International Standard Serial Number (ISSN)
0302-9743; 1611-3349
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Springer Verlag, All rights reserved.
Publication Date
01 Jul 2017
