The Use of Neurometric and Biometric Research Methods in Understanding the User Experience During Product Search of First-Time Buyers in E-Commerce - Conference Paper
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
Understanding user experience (UX) during e-commerce has been a relatively important research area especially in the last decade. The use of conventional methods in UX such as task-observation, in-depth interviews and questionnaires has already contributed for the measurement of the efficiency and effectiveness. This empirical study has aimed to make use of both conventional and neuroscientific methods simultaneously to provide a richer analysis framework for understanding the product search experience of the first-time buyers. The current work provides insights for the results from the combined use of conventional and neuroscientific-biometric methods in a UX study. Although this has been an exploratory study within a limited literature, the obtained results indicate a potential use of these methods for UX research, which may contribute to improve the relevant experience in various digital platforms.
Description
ORCID
Keywords
Neuroergonomics, Traditional user research methods, Decision making, User experience (ux), Neuroscientific methods, E-commerce, Product search
Fields of Science
03 medical and health sciences, 0302 clinical medicine, 05 social sciences, 0501 psychology and cognitive sciences
Citation
Çakar, T., Rızvanoğlu, K., Öztürk, Ö., Çelik, D. Z., & Gürvardar, İ. (2017). The Use of Neurometric and Biometric Research Methods in Understanding the User Experience During Product Search of First-Time Buyers in E-Commerce. Design, User Experience, and Usability: Theory, Methodology, and Management, 342–362. https://doi.org/10.1007/978-3-319-58634-2_26
WoS Q
Scopus Q
Q3

OpenCitations Citation Count
9
Source
Volume
Issue
Start Page
342
End Page
362
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Citations
CrossRef : 1
Scopus : 6
Captures
Mendeley Readers : 28
SCOPUS™ Citations
7
checked on Mar 02, 2026
Page Views
175
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Downloads
12712
checked on Mar 02, 2026
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