Information Acquisition During Online Decision Making: A Model-Based Exploration Using Eye-Tracking Data

We propose a model of eye-tracking data to understand information acquisition patterns on attribute-by-product matrices, which are common in online choice environments such as comparison websites. The objective is to investigate how consumers gather product and attribute information from moment to m...

Full description

Saved in:
Bibliographic Details
Published inManagement science Vol. 59; no. 5; pp. 1009 - 1026
Main Authors Shi, Savannah Wei, Wedel, Michel, Pieters, F. G. M. (Rik)
Format Journal Article
LanguageEnglish
Published Linthicum INFORMS 01.05.2013
Institute for Operations Research and the Management Sciences
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:We propose a model of eye-tracking data to understand information acquisition patterns on attribute-by-product matrices, which are common in online choice environments such as comparison websites. The objective is to investigate how consumers gather product and attribute information from moment to moment. We propose a hierarchical hidden Markov model that consists of three connected layers: a lower layer that describes the eye movements, a middle layer that identifies information acquisition processes, and an upper layer that captures strategy switching. The proposed model accounts for the data better than several alternative models. The results show that consumers switch frequently between acquisition strategies, and they obtain information on only two or three attributes or products in a particular acquisition strategy before switching. Horizontal and contiguous eye movements play an important role in information acquisition. Furthermore, our results shed new light on the phenomenon of gaze cascades during choice. We discuss the implications for Web design, online retailing, and new directions for research on online choice. This paper was accepted by Pradeep Chintagunta, marketing.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0025-1909
1526-5501
DOI:10.1287/mnsc.1120.1625