Application and Challenges of the Technology Acceptance Model in Elderly Healthcare: Insights from ChatGPT

Sang-Dol Kim

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Technology Use by Older Adults Technology Adoption and User Behaviour Health, Technology, Consumer Behavior

Abstract

The Technology Acceptance Model (TAM) plays a pivotal role in elderly healthcare, serving as a theoretical framework. This study aimed to identify TAM’s core components, practical applications, challenges arising from its applications, and propose countermeasures in elderly healthcare. This descriptive study was conducted by utilizing OpenAI’s ChatGPT, with an access date of 10 January 2024. The three open-ended questions administered to ChatGPT and its responses were collected and qualitatively evaluated for reliability through previous studies. The core components of TAMs were identified as perceived usefulness, perceived ease of use, attitude toward use, behavioral intention to use, subjective norms, image, and facilitating conditions. TAM’s application areas span various technologies in elderly healthcare, such as telehealth, wearable devices, mobile health apps, and more. Challenges arising from TAM applications include technological literacy barriers, digital divide concerns, privacy and security apprehensions, resistance to change, limited awareness and information, health conditions and cognitive impairment, trust and reliability concerns, a lack of tailored interventions, overcoming age stereotypes, and integration with traditional healthcare. In conclusion, customized interventions are crucial for successful tech acceptance among the elderly population. The findings of this study are expected to enhance understanding of elderly healthcare and technology adoption, with insights gained through natural language processing models like ChatGPT anticipated to provide a fresh perspective.

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1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 2015Older Adults' Reasons for Using Technology while Aging in Place 2014Factors influencing acceptance of technology for aging in place: A systematic review 2010Older adults talk technology: Technology usage and attitudes 2016Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model 2018Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US)2012Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention

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