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• "Chasing Shadows": Understanding Personal Data Externalization and Self-Tracking for Neurodivergent Individuals

  Tanya Rudberg Selin, Danielle Uneus, Soren Knudsen · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper examines a mismatch between the promises of self-tracking and personal informatics — rich self-awareness, reflection, insight — and the lived experience of neurodivergent individuals, for whom stable routines, generalised Likert items, and internal…

  self-tracking · personal informatics · neurodiversity · autism · ADHD

• Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications

  Charlotte Tang, Imrul K. Shuva, Matthew Thelen, Linda Zhu, Nathaniel S. Miller · 2024 · ACM Transactions on Accessible Computing

  This qualitative study investigates how people with Parkinson's Disease (PwPD) track their symptoms, medications, and physical activities, with the goal of informing inclusive design of self-tracking technologies. The researchers conducted semi-structured interviews with 26…

  Parkinson's disease · self-tracking · chronic illness · health technology · inclusive design

• Activity Recognition in Older Adults with Training Data from Younger Adults: Preliminary Results on in Vivo Smartwatch Sensor Data

  Sabahat Fatima · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This extended abstract investigates a critical age-related bias in wearable activity recognition: models trained on data from younger adults perform significantly worse when applied to older adults. The study is motivated by the growing potential of smartwatch-based…

  older adults · activity recognition · machine learning · wearable technology · smartwatch

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