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Session Overview
Session
Opportunities and Challenges of Self-Tracking Technologies: Understanding Information, Technology, and Users Through the Lens of Information Science [SDGs 12, 16]
Time:
Tuesday, 27/Oct/2020:
11:00am - 12:30pm


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Presentations
ID: 349 / [Single Presentation of ID 349]: 1
Panels & Alternative Events
90 minutes
Topics: Human Computer Interaction (HCI)
Keywords: Self-Tracking Technologies; Health Information Behavior; Challenges; Opportunities; Health Information Literacy; Data Privacy

Opportunities and Challenges of Self-Tracking Technologies: Understanding Information, Technology, and Users Through the Lens of Information Science [SDGs 12, 16]

Aylin Ilhan1, YuanYuan Feng2, Kaja J. Fietkiewicz1, Elizabeth V. Eikey3

1Heinrich Heine University, Germany; 2School of Computer Science, Carnegie Mellon University, USA; 3Department of Family Medicine and Public Health, The Design Lab (UCSD), USA

Health self-tracking technologies are used for various reasons, from tracking of physical activity (e.g., counting steps) and supporting weight loss to managing chronic illness and monitoring fertility. In many cases, the technology is characterized as a facilitator, the user as the main actor, and the information as a foundation for achieving the desired outcome. Apart from obvious benefits such as gaining awareness of one’s body and health, users also face a range of challenges when using various self-tracking technologies. This panel focuses the discussion on opportunities and challenges of self-tracking technologies from the perspective of information science. Particularly, the panelists will address the importance of the information provided by self-tracking technologies, which is a critical component of the conceptual triad (information, technology, and users) to comprehensively understand the nature of human interactions with such technologies.



 
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