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seven key factors: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and habit that influence the behavioral intention. However, there have been no past studies using this modified model in the context of health smart home (HSH) devices as a whole. Hence, this study uses extended UTAUT2 model with health consciousness. Based on the empirical data collected from the questionnaire, with 289 users of HSH device as the sample and being included in the analysis. Multiple linear regression analysis was tested to evaluate the collected data. Interestingly, the results show that performance expectancy, effort expectancy, social influence, hedonic motivation, price value and habit, habit, and health consciousness influence the behavioral intention to use HSH devices, while facilitating condition does not influence the BI. At last, this study provides theoretical contribution on the extended UTAUT2 and managerial implication to predict the HSH devices users’ behavior to the better marketing strategies and increase the consumer engagement.

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