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Abstract- On the point of Thailand transitioning into an aged society, there is an expanding need for technology solutions that intensify elderly independence in Activities of Daily Living (ADL). However, adoption rates continue low, compelling investigation of influential factors. The study aims to explore factors influencing elderly individuals' intention to use smartphone convergence applications to enhance ADL efficiency within Internet of Things (IoT) environments. A cross-sectional survey was organized with 300 elderly participants (aged 60 years and above) residing in Bangkok and metropolitan areas, all with bachelor's degrees or higher qualifications. The survey employed an extended Technology Acceptance Model (TAM) incorporating seven factors: perceived enjoyment, anxiety, social influence, perceived usefulness and ease of use, facilitating conditions, self-efficacy, and financial conditions. Data analysis applied Cronbach's alpha reliability testing and Pearson’s correlation. As a result, five factors demonstrated significant positive influence (p < 0.05): perceived enjoyment (β = 0.267), social influence (β = 0.156), perceived usefulness and ease of use (β = 0.241), facilitating conditions (β = 0.186), and self-efficacy (β = 0.162). Anxiety and financial conditions showed no significant influence. Perceived enjoyment (r = 0.530) and perceived usefulness and ease of use (r = 0.517) emerged as strongest predictors. To sum up, elderly technology acceptance for ADL enhancement is primarily driven by enjoyment, usefulness, and social support rather than financial concerns or anxiety towards technology. These findings provide critical insights for developing age-appropriate IoT-based ADL assistance applications.

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