year 10, Issue 2 (Summer 2022)                   Ann Appl Sport Sci 2022, 10(2): 0-0 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Ho C, Lin Y, Lin C, Yang C, Shen C. The Effect of the Motivation of Wearable Fitness Devices Use on Exercise Engagement: The Mediating Effect of Exercise Commitment. Ann Appl Sport Sci 2022; 10 (2)
URL: http://aassjournal.com/article-1-1044-en.html
1- Department of Physical Education, Shih Hsin University, Taiwan
2- General Education Center, Chaoyang University of Technology, Taiwan
3- General Education Center, Chaoyang University of Technology, Taiwan. Department of Business Administration, National Yunlin University of Science and Technology, Taiwan
4- Department of Leisure Services Management, Chaoyang University of Technology, Taiwan. Graduate School of Technological and Vocational Education, National Yunlin University of Science and Technology, Taiwan , yccheng@cyut.edu.tw
5- Institute of Physical Education and Health, Yulin Normal University, China
Abstract:   (3324 Views)
Background. In the study of wearable device users, it was found that the intentional motives for using wearable devices were a novelty, fun, and popular trends, but whether the needs and functions of device users will change due to the change the time is the focus of this study.
Objectives. This study aims to examine the path relationships among motivation of use, exercise commitment, and exercise engagement of users of wearable fitness devices.
Methods. The subjects of the study were users of wearable fitness devices. The questionnaires were distributed online through purposive sampling. A total of 479 questionnaires were distributed, and 347 valid questionnaires were collected after excluding invalid questionnaires with an effective response rate of 72.4%. The response data were validated by descriptive statistics, confirmatory factor analysis, and a structural equation model.
Results. The results of the study reveal that users of wearable fitness devices are mainly motivated by “informativeness” and “practicality and instrumentation”; motivation of use does not directly affect exercise engagement (t = 0.895, P < 0.056). Exercise commitment is mediating between the motivation of use and exercise engagement; motivation of use positively affects exercise commitment, and exercise commitment positively affects exercise engagement (t = 3.856, P < 0.001).
Conclusion. Wearable device users believe that the wearable devices can record their own exercise-related information, enhance exercise efficiency, and provide an easy-to-understand interface with a sense of entertainment and novelty technology, which support the device users to engage in physical activities. Commitment to exercise will influence the individual's continued engagement in exercise.
Full-Text [PDF 291 kb]   (1458 Downloads)    
 
 
APPLICABLE REMARKS
  • In this study, it was found that users of wearable fitness devices attach more importance to product informativeness and practical functionality. Therefore, the research and development of wearable fitness devices should strengthen the product's function and add video instruction and guidance through APP software, so that users can better understand how to improve exercise efficiency effectively.
  • At present, most of the loyal consumers using wearable devices are young people. However, in the face of the arrival of the aging society, the industry should focus on the research and development of products and marketing services for the elderly group and emphasize the basic functional requirements (health care, health management, information transmission) and the user interface (voice reminders, emergency assistance) to make the operation simple and easy to use, and launch the elderly group discount program to maximize the effectiveness of the product.
  • In addition, the motivation to use and exercise commitment are important variables that affect the individual's exercise engagement behavior. If we want to improve the exercise engagement behavior of wearable device users, we need to strengthen the commitment of individuals to exercise.

Type of Study: Original Article | Subject: Exercise, Training and Health
Received: 2021/07/9 | Accepted: 2021/09/12

References
1. Cory C, Christopher G. A Survey of biometrics for wearable devices. Intel Technol J. 2014;18(4):46-63.
2. Hadi S, Emily M, Nirusan R. Wearable tech: Leveraging Canadian innovation to improve health. 2014. Available from: https://healthwatchtech.com/wp-content/uploads/2017/08/Global-market-for-wearables.pdf.
3. Islam SH, Parvin F, Arifuzzaman M, Islam F, Khatun M, Hasan M. A study on the environment controlled clothes and the effect of hot/ cold weather on human body. J Specific Sport Sci. 2021;1(1):37-50.
4. Huang A, Wang J. Wearable device in college track and field training application and motion image sensor recognition. J Ambient Intellig Hum Comput. 2021:1-14. [DOI:10.1007/s12652-021-03107-x]
5. Yang CC, Shen CC, Lin YS, Lin CT. The research on the relationship between use motivation, target orientation and sports involvement in sports intelligent wearable equipment. J Human Sport Exercise. 2021;16(2):434-443. [DOI:10.14198/jhse.2021.16.Proc2.29]
6. Carpenter PJ, Scanlan TK, Simons JP, Lobel M. A Test of the Sport Commitment Model Using Structural Equation Modeling. J Sport Exercise Psychol. 1993;15(2):119-133. [DOI:10.1123/jsep.15.2.119]
7. Becker HS. Notes on the Concept of Commitment. American J Soc. 1960;66(1):32-40. [DOI:10.1086/222820]
8. Kelley HH. Love and commitment. Close relationships.1983.
9. Teixeira PJ, Carraca EV, Markland D, Silva MN, Ryan RM. Exercise, physical activity, and self-determination theory: a systematic review. Int J Behav Nutr Phys Act. 2012;9:78. [DOI:10.1186/1479-5868-9-78] [PMID] [PMCID]
10. Wilson PM, Rodgers WM, Carpenter PJ, Hall C, Hardy J, Fraser SN. The relationship between commitment and exercise behavior. Psychol Sport Exercise. 2004;5(4):405-421. [DOI:10.1016/S1469-0292(03)00035-9]
11. Yang FC, Lin LY. The antecedent that influence consumers' perceived value, satisfaction and intension to adopt the wearable devices. Manage Inform Comput. 2020;9(1):81-98.
12. Nunnally JC. Psychometric theory (2nd ed.).New York:McGraw-Hill.1978.
13. Fornell C, Larcker DF. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. J Market Res. 1981;18(3):39-50. https://doi.org/10.1177/002224378101800104 https://doi.org/10.1177/002224378101800313 https://doi.org/10.2307/3151312 [DOI:10.2307/3150980]
14. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis: a global perspective, 7 edn., Upper Saddle River, NJ: Pearson Education2010.
15. Chin WW. Commentary: Issues and opinion on structural equation modeling, MIS Quarterly. 1998;22:8-16.
16. Venkatesh, Thong, Xu. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly. 2012;36(1):157-178. [DOI:10.2307/41410412]
17. Aroganam G, Manivannan N, Harrison D. Review on Wearable Technology Sensors Used in Consumer Sport Applications. Sensors (Basel). 2019;19(9). [DOI:10.3390/s19091983] [PMID] [PMCID]
18. Borowski-Beszta M, Polasik M. Wearable devices: new quality in sports and finance. J Physic Educat Sport. 2020;20:1077-1084.
19. Lu FJH. Relationships among Exercise Dependence, Commitment, Identity. Sport Exercise Res. 2010;12(2):23-31. [DOI:10.5297/ser.1202.003]
20. Lee SM, Lee D. Healthcare wearable devices: an analysis of key factors for continuous use intention. Service Business. 2020;14(4):503-531. [DOI:10.1007/s11628-020-00428-3] [PMCID]

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Annals of Applied Sport Science

Designed & Developed by : Yektaweb