Abstract
Remote measurement technologies (RMTs) hold promises for health tracking, yet current health data visualizations in RMTs primarily target data-savvy experts, posing challenges for those with limited expertise. Although researchers have explored creative visualization methods, they often fall short in aiding data comprehension and neglect the needs of individuals and informal caregivers. This paper introduces Health Clockface, a smartwatch clockface that offers a glanceable visualization of health data using abstract and dynamic visuals generated by chaotic attractors. Designed for non-expert users, the system translates real-time inputs into ambient, glanceable feedback that supports awareness of one’s health. The system was developed through an iterative, user-centered design process and implemented on commercial hardware. User feedback highlighted the aesthetic appeal and engagement of the visualizations, although some users expressed concerns about the interpret ability and clarity of the abstract visuals, particularly when more detailed information was needed. This paper explores the potential of using ambient, artistic visualizations for health monitoring and highlights the challenges related to clarity and interpret ability, offering insights for future research and design in remote measurement technologies.
Keywords
Remote Measurement Technologies; Health Monitoring; Glanceable Visualizations; Ambient Information
DOI
https://doi.org/10.21606/iasdr.2025.583
Citation
Lu, T., Yu, B., Industries, C.,and Hu, J.(2025) HealthClockface: Design of Glanceable Health Data Visualization for Smartwatches, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.583
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 9 - Healthcare Design
HealthClockface: Design of Glanceable Health Data Visualization for Smartwatches
Remote measurement technologies (RMTs) hold promises for health tracking, yet current health data visualizations in RMTs primarily target data-savvy experts, posing challenges for those with limited expertise. Although researchers have explored creative visualization methods, they often fall short in aiding data comprehension and neglect the needs of individuals and informal caregivers. This paper introduces Health Clockface, a smartwatch clockface that offers a glanceable visualization of health data using abstract and dynamic visuals generated by chaotic attractors. Designed for non-expert users, the system translates real-time inputs into ambient, glanceable feedback that supports awareness of one’s health. The system was developed through an iterative, user-centered design process and implemented on commercial hardware. User feedback highlighted the aesthetic appeal and engagement of the visualizations, although some users expressed concerns about the interpret ability and clarity of the abstract visuals, particularly when more detailed information was needed. This paper explores the potential of using ambient, artistic visualizations for health monitoring and highlights the challenges related to clarity and interpret ability, offering insights for future research and design in remote measurement technologies.