Investigating the User Behaviors of Sharing Health- and Fitness-Related Information Generated by Mi Band on Weibo

ABSTRACT

Nowadays, smartphones and wearable devices can obtain health- and fitness-related information for better health management. With the popularity of social network sites (SNSs), sharing such information becomes increasingly ubiquitous, and there are some researches about such sharing behaviors. However, the sharing behaviors of health- and fitness-related information generated by wearable devices on public SNSs have not been fully studied. In this study, the authors collected health- and fitness-related information generated by Mi band on Weibo and analyzed the sharing behaviors of Weibo users. They selected 126 sharers to study the motivations of sharing different types of health- and fitness-related information and explore the factors of influencing motivations. They collected 2322 pieces of such shared information and corresponding responses to study what sharers posted, what audiences responded, and the relationship between the features of sharing and the number of responses. In addition, the authors present some design recommendations for the sharing function of wearable devices applications.

Acknowledgment

The authors thank all the participants for all the time and energy they have contributed to this research.

Notes

^1. http://www.mi.com/en/miband/.

^2. http://www.weibo.com/.

^3. http://www.runkeeper.com/.

^4. http://www.wechat.com/.

^5. http://www.whatsapp.com/.

^6. http://tips.wechat.com/posts/2721.html.

^7. http://open.weibo.com/wiki/API.

^8. http://data.weibo.com/report/reportDetail?id=346.

^9. https://www.webpronews.com/facebook-aims-to-give-users-more-control-over-sharing-from-apps/.

Additional information

Funding

This work was supported by China Knowledge Centre for Engineering Sciences and Technology [CKCEST-2014-1-5]; Natural Science Foundation of China [61332017].

Notes on contributors

Miaomiao Dong

Miaomiao Dong is a PhD student in the College of Computer Science and Technology, Zhejiang University, China. Her research interests mainly focus on human–computer interaction.

Ling Chen

Ling Chen is an Associate Professor in the College of Computer Science and Technology, Zhejiang University, China, where he received his PhD in computer science in 2004. His research interests include ubiquitous computing, location-aware computing, HCI, and data mining.

Liwen Wang

Liwen Wang is a PhD student in the College of Computer Science and Technology, Zhejiang University, China. Her research interests mainly focus on human–computer interaction in LBS.