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• Imagine, Interact: Eliciting Accessible Interactions from Users with Motor Impairments via Imagined Input Devices

  Radu-Daniel Vatavu, Ovidiu-Ciprian Ungurean · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper reports an end-user gesture elicitation study with eleven participants with upper-body motor impairments - including spinal cord injury, spina bifida, multiple sclerosis, cerebral palsy, Parkinson's, and traumatic brain injury - who were asked to imagine input devices…

  motor impairment · gesture input · end-user elicitation · imagined devices · ability-based design

• Beyond Accuracy: Auditing Allocative Harms in Facial-Gesture Recognition for People with Motor Impairments

  Siyu Zhang, Yelu Gu, Kirsten Cater, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper challenges the conventional framing of facial-gesture recognition accuracy as a purely technical property, and reframes it as a sensorimotor alignment problem between user intention and algorithmic interpretation. The authors conducted a mixed-methods empirical study…

  facial gesture recognition · motor impairment · algorithmic fairness · allocative harm · accessibility

• Giving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages

  Imran Kabir, Sharon Ann Redmon, Lynn R. Elko, Kevin Williams, Mitchell A. Case, Dawn J. Sowers, Krista Wilkinson, Syed Masum Billah · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Kabir and colleagues tackle a long-standing split in Augmentative and Alternative Communication (AAC): aided AAC — speech-generating devices, symbol boards, tablet apps — produces standardised, intelligible output but is slow, visually demanding, and awkward when partners are…

  AAC · augmentative and alternative communication · motor impairment · speech impairment · wearable technology

• Modeling Touch Input for Users with Motor Impairments: Empirical Insights into Training Size Requirements

  Radu-Daniel Vatavu, Irina Petrariu, Tudor Horomnea, Ovidiu-Ciprian Ungurean · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract addresses a practical question for ability-based design: how many touch observations do you actually need before you can build a user-specific model of someone's touch performance? Most touch modeling work, including Bayesian Touch and the Dual…

  touch input · motor impairment · ability-based design · adaptive interfaces · touchscreen accessibility

4 results.