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Title
Japanese: 
English:StepUp Forecast: Predicting Future to Promote Walking 
Author
Japanese: Asuka Miyake, Masami Takahashi, 橋本遼, 中谷桃子.  
English: Asuka Miyake, Masami Takahashi, Ryo Hashimoto, Momoko Nakatani.  
Language English 
Journal/Book name
Japanese: 
English:Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction 
Volume, Number, Page        
Published date Sept. 2021 
Publisher
Japanese: 
English:Association for Computing Machinery (ACM) 
Conference name
Japanese: 
English:23rd International Conference on Mobile Human-Computer Interaction (MobileHCI '21) 
Conference site
Japanese: 
English: 
DOI https://doi.org/10.1145/3447526.3472020
Abstract With the widespread use of fitness trackers, predicting the future of individuals’ health is becoming easier. However, little is known about how presenting a prediction of an individual's future impacts one's behavior. In this study, we targeted walking behavior and aimed to clarify the impact of presenting a prediction of the number of steps on one's behavior. We conducted a five-week experiment with 36 participants using the application “StepUp Forecast”, which presents prediction on the basis of past lifelogs. We found that self-efficacy and the number of steps increased significantly when the predictions were presented compared with when only records of steps were shown. This was because people were motivated to exceed the predicted value. Furthermore, when additional steps were presented along with the step prediction, neither self-efficacy nor the number of steps increased. Our findings suggest that the prediction should be an achievable value in which the user can exceed, and that a positive feedback loop could be possible by enhancing self-efficacy through the experience of achievement.

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