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null (Ed.)We present results from a qualitative study involving eight intergenerational families (27 participants) to understand how a family tracking intervention can help support care among intergenerational family members. Our findings show that family members communicate and stay aware of each other's' health through shared fitness data and conversations triggered by fitness sharing. We identified different challenges and preferences among the three age groups in our study: older adults enjoyed family fitness sharing but often encountered various technical challenges, the middle-aged group served as a key person to care for the rest of the family members, and the young generation could not fully engage in fitness sharing due to their busy schedule and privacy concerns. These findings suggest the design of family fitness sharing to account for the age differences in intergenerational families and support the unique needs of family fitness sharing.more » « less
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Epstein, Daniel A.; Caldeira, Clara; Figueiredo, Mayara Costa; Lu, Xi; Silva, Lucas M.; Williams, Lucretia; Lee, Jong Ho; Li, Qingyang; Ahuja, Simran; Chen, Qiuer; et al (, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies)null (Ed.)The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library, IEEE Xplore, and PubMed. We surface that the literature has focused on studying and designing for health and wellness domains, an emphasis on understanding and overcoming barriers to data collection and reflection, and progressively fewer contributions involving artifacts being made. Our mapping review suggests directions future research could explore, such as identifying and resolving barriers to tracking stages beyond collection and reflection, engaging more with domain experts, and further discussing the privacy and ethical concerns around tracked data.more » « less
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Zhan, Zhongwen; Li, Qingyang; Huang, Jianping (, Geophysical Journal International)
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Li, Qingyang; Qiu, Shuang; Ji, Shuiwang; Thompson, Paul M.; Ye, Jieping; Wang, Jie (, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining)
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