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Accessibility and Assistive Technology / Motor Disability Assistive Input and Control

People with tetraplegia struggle to conveniently use traditional keyboards or mice for computer operation.

lightbulbPractical problemMotor Disability Assistive Input and Control

UIST '24Enabling Advanced Interactions through Closed-loop Control of Motor Unit Activity After Tetraplegia

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lightbulbPractical problemMotor Disability Assistive Input and Control

Quadriplegic athletes struggle to improve training and competitive performance with existing technology.

CHI '25Understanding the Training Experiences of Competitive Skiers with Tetraplegia

lightbulbPractical problemMotor Disability Assistive Input and Control

Mobility-limited users struggle to complete complex upper-body interaction tasks in VR applications.

CHI '25MotionBlocks: Modular Geometric Motion Remapping for More Accessible Upper Body Movement in Virtual Reality

lightbulbPractical problemMotor Disability Assistive Input and Control

Users are easily interrupted from immersive experiences when operating devices during photography or video recording.

UIST '24NeuroSight: Combining Eye-Tracking and Brain-Computer Interfaces for Context-Aware Hand-Free Camera Interaction

lightbulbPractical problemMotor Disability Assistive Input and Control

Users often encounter accidental triggering (Midas touch) problems when using gaze interaction.

CHI '24Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

lightbulbPractical problemMotor Disability Assistive Input and Control

Users with severe motor impairments struggle to use traditional eye-typing technology fluently and efficiently.

IUI '23Understanding Adoption Barriers to Dwell-Free Eye-Typing: Design Implications from a Qualitative Deployment Study and Computational Simulations

lightbulbPractical problemMotor Disability Assistive Input and Control

People with anxiety and depression struggle to effectively regulate emotions through traditional methods.

UIST '23Joie: a Joy-based BCI

People with tetraplegia struggle to conveniently use traditional keyboards or mice for computer operation.

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Related papers

Understanding the Training Experiences of Competitive Skiers with Tetraplegia

MotionBlocks: Modular Geometric Motion Remapping for More Accessible Upper Body Movement in Virtual Reality

Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

Joie: a Joy-based BCI

Knowledge Graph Completion-based Question Selection for Acquiring Domain Knowledge through Dialogues

TeethTap: Recognizing Discrete Teeth Gestures using Motion and Acoustic Sensing on an Earpiece

Spinning Icons: Introducing a Novel SSVEP-BCI Paradigm Based on Rotation