Input Visualizations to Track Health Data by Older Adults with Multiple Chronic Conditions
Shri Harini Ramesh, Foroozan Daneshzand, Matteo Sotelo, Mahsa Sinaei, and Fateme Rajabiyazdi

TL;DR
This study explores how older adults with multiple chronic conditions use physical token-based visualizations for health data input, enhancing engagement, personalization, and reflection in their daily routines.
Contribution
It provides empirical insights into the adoption and personalization of physical input visualizations for health tracking among older adults with MCC.
Findings
Older adults personalize and adapt visualizations to their needs.
Physical tokens support meaningful reflection and pattern recognition.
Participants enjoyed the tracking process and found it personally expressive.
Abstract
Older adults living with multiple chronic conditions (MCC) can considerably benefit from collecting and reflecting on their health data. Many older adults collect their health data using various approaches, such as digital tools or handwritten notebooks. However, in these approaches, the act of collecting data does not itself yield insights; sensemaking and reflection happen only if individuals later review their accumulated records. The daily process of data collection thus offers limited opportunity for individuals to actively engage with their data or find the process personally meaningful and enjoyable. Personal data input visualizations using physical tokens offer a promising solution that can help individuals recognize evolving patterns while collecting data and discover meaningful insights more serendipitously and engagingly. Yet, there is a limited understanding of whether and…
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