Masters Theses

Qing Zeng

Keywords and Phrases

Eye-tracking; Online recommender system

Abstract

"Online retail business has become an emerging market for almost all business owners. Online recommender systems provide better services to the consumers as well as assist consumers with 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 e-commerce users' interest and attention. Eye-tracking data was extracted from the experiment and analyzed. The results suggest that users show more interest in recommendation based on consumer reviews than recommendation based on expert reviews. Earlier recommendations do not receive greater user attention than later recommendations"--Abstract, page iii.

Advisor(s)

Nah, Fiona Fui-Hoon, 1966-

Committee Member(s)

Siau, Keng, 1964-
Hall, Richard H.

Department(s)

Business and Information Technology

Degree Name

M.S. in Information Science and Technology

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2016

Pagination

vii, 29 pages

Note about bibliography

Includes bibliographical references (pages 25-28).

Rights

© 2016 Qing Zeng, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Electronic commerce -- ResearchTeleshopping -- ResearchConsumer behaviorEye tracking

Thesis Number

T 10989

Electronic OCLC #

958294270

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