Consumer Behavior

Exploring User Intentions Toward Smart Health-Sync Apparel for Diabetes and Mobility Support Using Technology Acceptance Model Approach

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Abstract

This study used the Technology Acceptance Model (TAM) to examine the user acceptance of Smart Adaptive Health-Sync Apparel (AHA) for diabetes and mobility support. An online survey was conducted among individuals diagnosed with diabetes with disability and their caregivers.  The survey presented a schematic diagram and description of AHA pants designed for urinalysis and their ease of use in diabetic patients. Validated TAM-based scales measured the participants' responses on TAM constructs. Multiple linear regression analyses provided that perceived ease of use strongly predicted perceived usefulness and attitudes toward technology, while perceived usefulness and attitudes positively predicted behavioral intention to use AHA. However, perceived usefulness of AHA did not significantly predict attitudes, suggesting the importance of ergonomic and usability design incorporation in the AHA development. The overall findings indicate the importance of user-centered design in the adoption of smart health apparel. It also directs extending TAM in wearable healthcare contexts.

Keywords: Technology Acceptance Model, Health-Sync Apparel, Diabetes, Mobility Impairments

How to Cite:

Alam, S., MOMOTAZ, F., Lee, J. & Kobia, C., (2025) “Exploring User Intentions Toward Smart Health-Sync Apparel for Diabetes and Mobility Support Using Technology Acceptance Model Approach”, International Textile and Apparel Association Annual Conference Proceedings 82(1). doi: https://doi.org/10.31274/itaa.21565