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• Human-Centered Explainable AI for Brain-Computer Interface-driven Rehabilitation

  Param Rajpura · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI Extended Abstract presents a doctoral research agenda developing human-centered explainable AI (HCXAI) frameworks for brain-computer interfaces (BCIs) used in stroke rehabilitation. Rajpura argues that current BCI systems prioritize technical performance, such as…

  brain-computer interface · explainable AI · stroke rehabilitation · aphasia · human-centered AI

• Designing Spellcasters from Clinician Perspectives: A Customizable Gesture-Based Immersive Virtual Reality Game for Stroke Rehabilitation

  Jared Duval, Rutul Thakkar, Delong Du, Kassandra Chin, Sherry Luo, Aviv Elor, Magy Seif El-Nasr, Michael John · 2022 · ACM Transactions on Accessible Computing

  This research presents Spellcasters, an immersive virtual reality game adapted from entertainment for stroke rehabilitation. More than 800,000 people suffer strokes annually in the US, with two-thirds requiring rehabilitation. Stroke survivors often experience hemiparesis…

  stroke rehabilitation · virtual reality · serious games · telehealth · gesture recognition

• User Perspectives on Robotics for Post-stroke Hand Rehabilitation

  Chloe Ng · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This student research abstract presents a preliminary qualitative study investigating user perceptions of an exoskeleton robotic device designed for post-stroke hand rehabilitation. Impaired hand motor function is one of the most significant disabilities following stroke,…

  stroke rehabilitation · exoskeleton · robotics · motor disability · assistive technology

• An Intelligent Decision Support System for Stroke Rehabilitation Assessment

  Min Hun Lee · 2019 · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2019)

  This student research abstract presents an interactive multimodal machine learning approach for automatically assessing upper-limb stroke rehabilitation exercises and supporting therapist decision-making. Physical rehabilitation is critical for people recovering from stroke to…

  stroke rehabilitation · machine learning · human-AI interaction · decision support · motor disability

• Experiencing EVA Park, a Multi-User Virtual World for People with Aphasia

  Julia Galliers, Stephanie Wilson, Jane Marshall, Richard Talbot, Niamh Devane, Tracey Booth, Celia Woolf, Helen Greenwood · 2017 · ACM Transactions on Accessible Computing

  This study examines the user experience of EVA Park, a multi-user virtual world designed specifically for people with aphasia (PWA) to practice conversations. Aphasia, a communication disorder most commonly caused by stroke (occurring in 45% of stroke survivors), affects…

  aphasia · virtual worlds · stroke rehabilitation · speech-language therapy · social interaction

• ARMStrokes: A Mobile App for Everyday Stroke Rehabilitation

  Jin Guo, Ted Smith, David Messing, Ziying Tang, Sonia Lawson, Jinjuan Heidi Feng · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This paper presents ARMStrokes, an iPhone application that enables stroke survivors to perform upper extremity rehabilitation exercises anywhere and anytime using only built-in smartphone sensors. Stroke affects over 795,000 Americans annually and often causes long-term…

  stroke rehabilitation · mobile health · exergames · upper extremity · motor impairment

• Stroke Therapy through Motion-Based Games: A Case Study

  Gazihan Alankus, Rachel Proffitt, Caitlin Kelleher, Jack Engsberg · 2011 · ACM Transactions on Accessible Computing

  This case study explores the long-term home use of motion-based video games for stroke rehabilitation—an area where prior research focused mainly on clinical settings or short-term evaluations. The participant was a 62-year-old woman with hemiparesis (partial paralysis on one…

  stroke rehabilitation · motor impairment · game-based therapy · motion sensing · hemiparesis

• Write-N-Speak: Authoring Multimodal Digital-Paper Materials for Speech-Language Therapy

  Anne Marie Piper, Nadir Weibel, James D. Hollan · 2011 · ACM Transactions on Accessible Computing

  This paper presents Write-N-Speak, a digital pen toolkit that enables speech-language therapists to create custom multimodal therapy materials for clients with aphasia—a communication disorder often resulting from stroke that affects approximately 80,000 Americans annually. The…

  aphasia · speech-language therapy · AAC · digital pen · multimodal interaction

• Stroke Therapy through Motion-Based Games: A Case Study

  Gazihan Alankus, Rachel Proffitt, Caitlin Kelleher, Jack Engsberg · 2010 · Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2010)

  This paper presents a detailed six-week home-based case study of a 62-year-old woman (pseudonym Marie) who was seventeen years post-stroke, using custom motion-based video games for upper extremity rehabilitation. Marie had left hemiparesis affecting her non-dominant side, with…

  stroke rehabilitation · hemiparesis · gamification · motor disability · physical rehabilitation

• Low-Cost Accelerometry-Based Posture Monitoring System for Stroke Survivors

  Sonia Arteaga, Jessica Chevalier, Andrew Coile, Andrew William Hill, Serdar Sali, Sangheeta Sudhakhrisnan, Sri H. Kurniawan · 2008 · Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '08)

  This paper from the University of California Santa Cruz reports a low-cost wearable posture monitoring system for stroke survivors, costing approximately $100 for the full prototype. Stroke patients are believed to benefit from maintaining good posture during early…

  stroke rehabilitation · wearable technology · accelerometer · posture monitoring · physical therapy

10 results.