<?xml version="1.0"?>
<xml><ArticleSet><Article><Journal><PublisherName>Radiance Research Academy</PublisherName><JournalTitle>International Journal of Current Research and Review</JournalTitle><PISSN>2231-2196</PISSN><EISSN>0975-5241</EISSN><Volume/><Issue/><IssueLanguage>English</IssueLanguage><SpecialIssue>N</SpecialIssue><PubDate><Year>2026</Year><Month>September</Month><Day>30</Day></PubDate></Journal><ArticleType>Life Sciences</ArticleType><ArticleTitle>&#xD;
	A Cross-Sectional Study of Awareness, Acceptance, Barriers and Willingness to Adopt Wearable Posture Correction Devices Among Computer Professionals&#xD;
&#xD;
&#xD;
&#xD;
	&#xA0;&#xD;
&#xD;
&#xD;
&#xD;
	&#xA0;&#xD;
&#xD;
</ArticleTitle><ArticleLanguage>English</ArticleLanguage><FirstPage>01</FirstPage><LastPage>09</LastPage><AuthorList><Author>Dharti Pansala</Author><AuthorLanguage>English</AuthorLanguage><Author> Anjan Desai</Author><AuthorLanguage>English</AuthorLanguage></AuthorList><DOI>https://doi.org/10.31782/IJCRR.2026.181801</DOI><Abstract>&#xD;
	Introduction: Prolonged computer use and poor sitting posture may contribute to forward head posture (FHP) and musculo skeletal discomfort among computer professionals. Wearable posture correction devices can provide real-time biofeedback to promote postural awareness. This study aimed to assess awareness, acceptance, perceived barriers, and willingness to use wearable posture correction devices among computer professionals. Methods: A cross-sectional observational study was conducted among 150 computer professionals aged 24&#x2013;45 years working in various organisations in Surat, Gujarat. Participants completed a structured questionnaire assessing awareness, attitude, per ceived barriers, and willingness/intention to use wearable posture correction devices. Descriptive statistics were used for analy sis. Details of the questionnaire&#x2019;s development, validity/reliability, scoring system, study period, ethics approval, and sample-size justification should be reported explicitly in the final manuscript. Results: Only 25.33% of participants had previously heard of wearable posture correction devices, while 74.67% were unaware. However, 68.00% identified their stated purpose, 65.33% recognised their real-time feedback capability, and 78.00% agreed that such devices could help prevent FHP. The mean attitude score was 40.04 &#xB1; 5.21/50 as reported in the original dataset/manu script. Most participants were willing to try a device (84.00%) and use it regularly (74.67%). In the direct-response questions, 80.00% were willing to use a device if provided free of cost, 66.00% indicated willingness to purchase one, and 70.67% would recommend it to coworkers. Lack of awareness (74.67%) and high cost (20.00%) were the main reported barriers. Conclusion: Computer professionals in this sample showed limited prior awareness but favourable attitudes and substantial willingness/intention to use wearable posture correction devices. These findings reflect perceived acceptability and behavioral intention rather than actual device adoption or clinical effectiveness.&#xD;
&#xD;
</Abstract><AbstractLanguage>English</AbstractLanguage><Keywords>Smart wearable device, Posture, Computer professionals, Awareness, Acceptance, Barriers, Adoption</Keywords><URLs><Abstract>http://ijcrr.com/abstract.php?article_id=4923</Abstract><Fulltext>http://ijcrr.com/article_html.php?did=4923</Fulltext></URLs><References>&#xD;
	1. Briggs AM, Woolf AD, Dreinh&#xF6;fer K, Homb N, Hoy DG, Ko pansky-Giles D, et al. Reducing the global burden of musculo skeletal conditions. Bull World Health Organ. 2018;96(5):366 8. https://doi.org/10.2471/BLT.17.204891 &#xD;
&#xD;
&#xD;
&#xD;
	2. C&#xF4;t&#xE9; P, Wong JJ, Sutton D, Shearer HM, Mior S, Randhawa K, et al. Management of neck pain and associated disorders: A clin ical practice guideline. J Orthop Sports Phys Ther. 2017;47(7): A1-A83. &#xD;
&#xD;
&#xD;
&#xD;
	3. Kim MS. Influence of neck pain on cervical movement in adults with forward head posture. J Phys Ther Sci. 2015;27(1):15&#x2013;7. &#xD;
&#xD;
&#xD;
&#xD;
	4. Harman K, Hubley-Kozey CL, Butler H. Effectiveness of an exercise program to improve forward head posture in normal adults. J Manual Manip Ther. 2005;13(3):163&#x2013;76. &#xD;
&#xD;
&#xD;
&#xD;
	5. Waongenngarm P, Areerak K, Janwantanakul P. The effects of breaks on low back pain, discomfort and work productivity in office workers: A systematic review. Int J Occup Saf Ergon. 2018;68:230&#x2013;9. https://doi.org/10.1016/j.apergo.2017.12.003 &#xD;
&#xD;
&#xD;
&#xD;
	6. Caixeiro D, Cordeiro T, Constantino L, Carreira J, Mendes R, Silva CG, et al. Effectiveness of wearable devices for posture correction: a systematic review of evidence from randomized and quasi-experimental studies. Appl Sci 2026;16(1):81. doi:10.3390/app16010081. &#xD;
&#xD;
&#xD;
&#xD;
	7. Schall MC Jr, Sesek RF, Cavuoto LA. Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals. Hum Factors. 2018;60(3):351 62. https://doi.org/10.1177/0018720817753907 &#xD;
&#xD;
&#xD;
&#xD;
	8. Patil V, Singhal DK, Naik N, Hameed BMZ, Shah MJ, Ibrahim S, et al. Factors affecting the usage of wearable device technol ogy for healthcare among Indian adults: a cross-sectional study. J Clin Med 2022;11(23):7019. doi:10.3390/jcm11237019.&#xD;
&#xD;
&#xD;
&#xD;
	9. Sergueeva K, Shaw N, Lee SHM. Understanding the barriers and factors associated with consumer adoption of wearable tech nology devices in managing personal health. Can J Adm Sci. 2020;37(1):45&#x2013;60. https://doi.org/10.1002/cjas.1547 &#xD;
&#xD;
&#xD;
&#xD;
	10. Yang Q, Al Mamun A, Hayat N, Jingzu G, Hoque ME, Sala meh AA. Modeling the intention and adoption of wearable fit ness devices. Front Public Health 2022;10:918989. doi:10.3389/ fpubh.2022.918989. &#xD;
&#xD;
&#xD;
&#xD;
	11. C&#xF4;t&#xE9; P, van der Velde G, Cassidy JD, Carroll LJ, Hogg-Johnson S, Holm LW, et al. The burden and determinants of neck pain in workers: results of the Bone and Joint Decade 2000&#x2013;2010 Task Force on Neck Pain and Its Associated Disorders. Spine (Phila Pa 1976). 2008;33(4 Suppl): S60-S74. &#xD;
&#xD;
&#xD;
&#xD;
	12. Janwantanakul P, Pensri P, Jiamjarasrangsi W, Sinsongsook T. Prevalence of self-reported musculoskeletal symptoms among office workers. Occup Med (Lond). 2008;58(6):436-438. &#xD;
&#xD;
&#xD;
&#xD;
	13. Andersen LL, Fallentin N, Thorsen SV, Holtermann A. Physical workload and risk of long-term sickness absence among workers with neck pain. Occup Environ Med. 2016;73(4):246-252.&#xD;
&#xD;
&#xD;
&#xD;
	14. Hoy DG, Protani M, De R, Buchbinder R. The epidemiology of neck pain. Best Pract Res Clin Rheumatol. 2010;24(6):783-792. &#xD;
&#xD;
&#xD;
&#xD;
	15. Patel MS, Asch DA, Volpp KG. Wearable devices as fa cilitators, not drivers, of health behaviour change. JAMA. 2015;313(5):459-460.&#xD;
&#xD;
&#xD;
&#xD;
	16. Piwek L, Ellis DA, Andrews S, Joinson A. The rise of con sumer health wearables: promises and barriers. PLoS Med. 2016;13(2):e1001953. &#xD;
&#xD;
&#xD;
&#xD;
	17. Lee JH, Park SY, Yoo WG. Changes in rounded shoulder posture and forward head posture according to exercise methods. J Phys Ther Sci. 2017;29(10):1824-1827. &#xD;
&#xD;
&#xD;
&#xD;
	18. Wong CK, Mentis HM, Kuber R. The role of wearable technol ogy in posture monitoring: a systematic review. Sensors (Basel). 2022;22(15):5624. &#xD;
&#xD;
&#xD;
&#xD;
	19. Cuesta-Vargas AI, Gal&#xE1;n-Mercant A, Williams JM. The use of wearable inertial sensors in rehabilitation: a systematic review. Sensors (Basel). 2010;10(6):5857-5874. &#xD;
&#xD;
&#xD;
&#xD;
	20. Yang CC, Hsu YL. A review of accelerometry-based wearable motion detectors for physical activity monitoring. Sensors (Ba sel). 2010;10(8):7772-7788. &#xD;
&#xD;
&#xD;
&#xD;
	21. Davis FD. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Q. 1989;13(3):319 340. &#xD;
&#xD;
&#xD;
&#xD;
	22. Li J, Ma Q, Chan AH, Man SS. Health monitoring through wear able technologies for older adults: smart wearables acceptance model. Appl Ergon. 2019; 75:162-169.&#xD;
&#xD;
&#xD;
&#xD;
	23. Venkatesh V, Morris MG, Davis GB, Davis FD. User accept ance of information technology: toward a unified view. MIS Q. 2003;27(3):425-478.&#xD;
&#xD;
&#xD;
&#xD;
	24. Puri A, Kim B, Nguyen O, Stolee P, Tung J, Lee J. User accept ance of wrist-worn activity trackers among community-dwelling older adults. JMIR Mhealth Uhealth. 2017;5(11): e173. &#xD;
&#xD;
&#xD;
&#xD;
	25. Louw A, Zimney K, O&#x2019;Hotto C, Hilton S. The clinical applica tion of pain neuroscience education. Physiother Theory Pract. 2016;32(5):332-355&#xD;
&#xD;
</References></Article></ArticleSet></xml>
