{"title":"HHeal: A Personalized Health App for Flu Tracking and Prevention","authors":"Na Li, Changkun Zhao, E. Choe, F. Ritter","doi":"10.1145/2702613.2732804","DOIUrl":null,"url":null,"abstract":"We report a new mobile application, HHeal, that integrates individuals' flu risk information and flu-preventive behaviors. The app provides a personal flu risk bar that rises when the user is near someone with flu-like symptoms and drops when the user finishes one of the suggested flu-preventive behaviors. Preliminary results show that participants favored the personal flu risk bar design. Participants had positive experiences when their personal risk bars dropped. They were motivated to initiate flu-preventive behaviors when their personal risk bars rose. Our next step includes studying reward strategies, users' motivations to share personal health information, and building a more accurate model of flu risk.","PeriodicalId":142786,"journal":{"name":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2702613.2732804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
We report a new mobile application, HHeal, that integrates individuals' flu risk information and flu-preventive behaviors. The app provides a personal flu risk bar that rises when the user is near someone with flu-like symptoms and drops when the user finishes one of the suggested flu-preventive behaviors. Preliminary results show that participants favored the personal flu risk bar design. Participants had positive experiences when their personal risk bars dropped. They were motivated to initiate flu-preventive behaviors when their personal risk bars rose. Our next step includes studying reward strategies, users' motivations to share personal health information, and building a more accurate model of flu risk.
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