People with hand and wrist conditions, such as carpal tunnel syndrome or hand injuries, often experience pain and discomfort when using a computer mouse. This study will evaluate a new artificial intelligence (AI)-assisted computer input system ("AI-mouse") designed to reduce the amount of hand movement needed during computer tasks. Participants will complete short computer-based tasks using both a conventional mouse and the AI-assisted system while researchers measure task performance, muscle activity using surface electromyography (EMG), and participants' ratings of pain, physical strain, and usability. The study aims to determine whether the AI-assisted system can reduce physical effort and muscle load while maintaining effective computer interaction. Findings may help improve accessible computer technologies and support the development of ergonomic tools for people with hand and wrist impairments.
Adults aged 18-65 years
Diagnosis of a hand or wrist condition, including carpal tunnel syndrome or hand/wrist injury.
Receiving care at the Hand Surgery Department of the National Scientific Center of Traumatology and Orthopedics.
Medically stable and assessed by a study physician as able to safely perform light computer-based hand movements.
Severe pain or acute symptoms that may be aggravated by computer task performance.
Postoperative restrictions limiting hand or wrist movement.
Severe motor impairment preventing completion of the study tasks.
Cognitive or neurological disorders that interfere with understanding study procedures or task performance.
Crossover
AI-Assisted Computer Input System
DeviceA non-invasive computer input system that uses artificial intelligence to predict the user's intended on-screen action. Instead of relying primarily on continuous cursor movement and mouse clicking, the system presents predicted actions that participants can preview, accept, or discard using minimal keyboard input. The intervention is designed to reduce repetitive hand movements during computer interaction while preserving user control. Participants complete standardized computer tasks using the system during a single study session lasting less than four minutes.
Conventional Computer Mouse
DeviceA standard computer mouse used for conventional point-and-click interaction. Participants complete the same standardized computer tasks as in the experimental condition, allowing direct comparison of task performance, upper-limb muscle activity measured by surface electromyography (EMG), and participant-reported pain, physical strain, and usability.
APDF90 surface electromyography (sEMG) amplitude
90th percentile amplitude probability distribution function (APDF90) of the processed sEMG envelope recorded from selected upper-limb muscles during standardized computer tasks.
Muscular rest time
Percentage of task duration during which the processed sEMG envelope remained below the predefined muscular-rest threshold of 2 µV.
Integrated squared dynamic acceleration
Cumulative dynamic movement workload measured by tri-axial accelerometry and expressed as integrated squared dynamic acceleration (mG²·s).
90th percentile dynamic acceleration
Peak dynamic movement intensity measured by tri-axial accelerometry and expressed as the 90th percentile of dynamic acceleration (mG).
Task completion time
Time required to complete the standardized computer task using the conventional mouse and the AI-assisted computer input system.
Error rate
Percentage of incorrect target selections during the standardized computer task
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options:
