Evaluation of Factors Influencing the Utilization of Iot-Based Wearable Device Technology for Healthcare Among South Indian Population

Loading...
Thumbnail Image
Authors
Sinha, Nancy
Issue Date
2025-05
Type
Thesis
Language
Keywords
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract

Background: In recent years, the healthcare sector has grown significantly, although according to the World Health Organization (WHO), chronic illnesses are responsible for 75% of global deaths and create significant economic hardships. IoT-based wearable devices offer an effective means for diagnosis, continuous monitoring, and management. The IoT-based wearable medical devices market in India is blooming due to a growing emphasis on healthcare technology and personal well-being. Despite its advantages, some hesitation and factors influence the adoption of wearable technology in public perception Aim and Objective: The study focused on assessing user behavioral intentions, usefulness, social influence, privacy concerns, and other external factors like infotainment, wearability, healthcare, style, and connectivity that will affect the utilization of wearable devices for healthcare in South Indian perception. Method: The study incorporated TAM and TTF models with external factors to build a conceptual framework. The study was a quantitative, cross-sectional web-based survey that included participants aged 18-64 years. The survey included questions relating to sociodemographics and the factors affecting adoption. The Pearson correlation test and regression test were used to analyze the relationship between the variables. Results: A total of 295 responses were obtained. In all, 51.2% were male users, and 59.3% of users were aged 26-50 years. 52% of users were highly qualified, and 78.9% of the middle to upper-middle income group were using wearable devices. Smart monitoring device was mainly used by females. PEOU and PU have a significant positive impact on BI. Social influence, fashionability, and wearability showed a positive influence on BI. Privacy concerns showed an insignificant effect on behavioral intention. TTF showed a strong positive correlation with PEOU and PU, while infotainment, connectivity, and healthcare had moderating effect on TTF. Conclusion: The study found that the TAMs internal factors, namely perceived usefulness, perceived ease of use had significant correlation with intention to use wearable device and other factor showed positive medium to strong effect on adoption of wearable for healthcare. Future research should focus on larger, more diverse samples and cost reduction strategies, and privacy personalization paradox.

Description
Citation
Publisher
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
EISSN