From Gaze to Purchase: A Comprehensive Survey on Eye-Tracking and Pupil Variation in Recommendation Systems and E-Commerce
- DOI
- 10.2991/978-94-6463-831-8_5How to use a DOI?
- Keywords
- Eye-tracking; Pupil Dilation; E-Commerce; Recommendation Systems
- Abstract
Eye-tracking and pupil variation have amassed significant interest in the advancement of user-centric, personalized recommendation systems, offering critical insights into user preferences and improving engagement to boost e-commerce. This paper analyses existing systems on gaze-based interaction, fixation patterns, saccades defined as rapid, abrupt ocular movements that occur when we redirect our attention from one spot to another, pupillometry and neuromarketing to enhance recommendation accuracy in areas such as e-commerce, media consumption, and adaptive learning. It aims to provide a detailed review of research studies examining the use of these metrics in recommendation models. Additionally, it examines methodological approaches and data collection techniques involved in incorporating eye-tracking data into recommendation algorithms to improve their accuracy. This survey synthesizes key findings to provide a structured overview of the use of eye-tracking in e-commerce systems and delineates potential directions for future research in gaze-driven recommendation systems.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Devika Deshpande AU - Bharati P. Vasgi AU - Punam Chavan AU - Pranjali Deshpande PY - 2025 DA - 2025/08/31 TI - From Gaze to Purchase: A Comprehensive Survey on Eye-Tracking and Pupil Variation in Recommendation Systems and E-Commerce BT - Proceeding of the 1st International Conference on Lifespan Innovation (ICLI 2025) PB - Atlantis Press SP - 32 EP - 39 SN - 2468-5739 UR - https://doi.org/10.2991/978-94-6463-831-8_5 DO - 10.2991/978-94-6463-831-8_5 ID - Deshpande2025 ER -