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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (1): 76-87    DOI: 10.11925/infotech.2096-3467.2017.1038
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Studying Social Interaction of Online Medical Question-Answering Service
Liyi Zhang,Huiran Li()
School of Information Management, Wuhan University, Wuhan 430072, China
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[Objective] To explore the impacts of social interaction on online medical question-answering service. [Methods] We proposed a new research model to study online medical question-answering usage. We collected data with questionnaire and examined the proposed model with the Smart PLS 3.0. A total of 371 valid samples were obtained and analyzed. [Results] We found that users were happy after contributing information online. The usefulness and ease of use during human-machine interaction, as well as the cognitive-trust and affection-trust posed positive effect to patients’ usage of online medical question-answering services. We also found the information and emotion support had different impacts on cognitive and affection trust, which led to different behaviors of patient-doctor and patient-patient interactions. [Limitations] Impacts of different diseases and information functions (direct or indirect) on the interaction should be further studied. [Conclusions] Human-human and human-machine interactions have positive effects on patient’s intention of using online medical question-answering services.

Key wordsOnline Medical Question-Answering      Interaction Perception      Usage Intention      Trust     
Received: 20 October 2017      Published: 05 February 2018

Cite this article:

Liyi Zhang,Huiran Li. Studying Social Interaction of Online Medical Question-Answering Service. Data Analysis and Knowledge Discovery, 2018, 2(1): 76-87.

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