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Overall preference of running shoes can be predicted by suitable perception factors using a multiple regression model

URI
https://hdl.handle.net/10497/22119
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Type
Article
Files
 HF-59-3-432.pdf (417.78 KB)
Citation
Tay, C. S., Sterzing, T., Lim, C. Y., Ding, R., & Kong, P. W. (2017). Overall preference of running shoes can be predicted by suitable perception factors using a multiple regression model. Human Factors, 59(3), 432–441. https://doi.org/10.1177/0018720816681147
Author
Tay, Cheryl Sihui
•
Sterzing, Thorsten
•
Lim, Chen Yen
•
Ding, Rui
•
Kong, Pui Wah 
Abstract
This study investigated the influence of footwear perception factors on overall preference of running shoes using a regression model. One hundred casual runners assessed four shoe models for fit, cushioning, arch support, and stability. Results showed that each perception factor had a true potential to improve overall user preference.
Date Issued
2017
Publisher
Sage
Journal
Human Factors
DOI
10.1177/0018720816681147
Dataset
https://doi.org/10.25340/R4/NSEL61
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