2012 | OriginalPaper | Chapter
A Comparison of Buying Decision Patterns by Product Involvement: An Eye-Tracking Approach
Authors : Do Young Choi, Min Hee Hahn, Kun Chang Lee
Published in: Intelligent Information and Database Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This research investigated whether buying the decision process differs by the level of product involvement. We analyzed visual attention based on the eye-tracking technique to explore the cognitive characteristics of buying decisions. More specifically, we observed visual attention of involvement by conducting experiments in a website environment. Through eye-tracking experiments, we applied physiological data in order to test our research hypotheses regarding the buying decision process and product involvement, measuring fixation length as visual attention. The results of the eye-tracking experiment showed that the decision process for high involvement products is more complicated than that for low involvement products.