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Association Rules Mining on Multimodal Quantified-Self Data

by Research Team | Mar 29, 2022 | Research Publications

Author(s): Zilu Liang Abstract: Quantified-self refers to the practice that people use consumer wearables to collect personal data for self-care or self-knowledge. After more than a decade of its popularity, the quantifies-self practice is still mostly centered on...

WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization

by Research Team | Mar 21, 2022 | Research Publications

Author(s): Dimitrios Panteleimon Giakatos Sofia Yfantidou Stefanos Efstathiou Athena Vakali Abstract: Ubiquitous self-tracking technologies’ (STTs) adoption has taken a quantum leap in recent years, leading to a rapid increase in terms of volume, variety, and...

From Data to Action: Toward a Framework for Collective Personal Informatics in Dementia Care

by Research Team | Mar 1, 2022 | Research Publications

Author(s): Ning Zou Abstract: Individuals increasingly have access to and use a variety of self-tracking technologies in their daily lives, most notably to assist with personal health self-management. As important as self-tracking is for individuals, some argue it...

Exploiting Motivation Subscales for Gamification of Lifelogging Application

by Research Team | Jan 3, 2022 | Research Publications

Author(s): Aoi Nagatani Sinan Chen Masahide Nakamura Sachio Saiki Abstract: Continuous data input is essential for lifelogging services, where users input their daily records. But whether the user can continuously input data depends mainly on the user’s...

“You Don’t Own a FitBit, the FitBit Owns You”: A Taxonomy of Privacy Attitudes in the Context of Self-Quantification

by Research Team | Jan 1, 2022 | Research Publications

Author(s): Svetlana Smirnova Abstract: Self-tracking—the process of self-quantification for health and wellbeing via mobile applications and wearable devices—increasingly contributes to shaping individuals’ self-understanding, and delivering health and wellness...
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