ECIS 2020 Research Papers

Abstract

Demographic change is resulting in an increasing number of people getting older and needing adequate medical care. In order to solve this problem, easily accessible health chatbots could be established, which are capable of identifying diseases on the basis of symptoms. Such applications already exist today, but usage is primarily restricted to younger generations. Therefore, this study examines which factors affect the acceptance of health chatbots by seniors. With the help of 21 qualitative interviews within the respective target group and the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) a comprehensive model for the adoption of health chatbots is developed. Additionally to being interviewed, the participants were able to test an exemplary health chatbot to better comprehend the technology. Thus, a practically oriented overview as well as 18 propositions were established, which could be used as a basis for further research regarding seniors’ acceptance of health chatbots.

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