Users’ reception of product recommendations: Analyses based on eye tracking data

• Main Authors: JIA, Feiyan, SHI, Yani, SIA, Choon Ling, TAN, Chuan-Hoo, NAH, Fiona Fui-hoon, SIAU, Keng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Black boxes; Eye movement patterns; Eye tracking technologies; Product descriptions; Product recommendation; Provide guidances; Computer Engineering; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9469; https://ink.library.smu.edu.sg/context/sis_research/article/10469/viewcontent/Users_Reception_of_Product_Recommendations_Analyses_Based_on_Eye_Tracking_Data.pdf
• Institution: Singapore Management University

Based on eye tracking technology, we study consumers’ overall attention to recommendations appearing at different time settings (i.e., early, mid, and late) and their attention to different information contained in each recommendation, such as recommendation signs, product descriptions, and reviews....