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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Conventional Mouse | Active Comparator | Participants perform standardized computer pointing tasks using a conventional computer mouse. Performance (task completion time, error rate, throughput), surface electromyography (EMG) of upper-limb muscles, and participant-reported outcomes (pain, physical strain, and usability) are assessed during task completion. |
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| AI-Mouse (Preview-Accept-Discard [PAD] System) | Experimental | Participants perform the same standardized computer tasks using the AI-Mouse, a predictive human-computer interaction system based on the Preview-Accept-Discard (PAD) paradigm. The system generates AI-assisted action suggestions that can be accepted or discarded using minimal keyboard input, reducing cursor movement. Performance, surface electromyography (EMG), and participant-reported outcomes (pain, physical strain, and usability) are assessed during task completion. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-Assisted Computer Input System | Device | A 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. |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | Baseline (during each intervention condition on Day 1) |
| Muscular rest time | Percentage of task duration during which the processed sEMG envelope remained below the predefined muscular-rest threshold of 2 µV. | Baseline (during each intervention condition on Day 1) |
| Measure | Description | Time Frame |
|---|---|---|
| Integrated squared dynamic acceleration | Cumulative dynamic movement workload measured by tri-axial accelerometry and expressed as integrated squared dynamic acceleration (mG²·s). | Baseline (during each intervention condition on Day 1) |
| 90th percentile dynamic acceleration |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jose Berengueres, PhD | Contact | +7 778 358 18 26 | jose.berengueres@nu.edu.kz | |
| Dina Kalinina, MD | Contact | +77756238719 | dina.kalinina@nu.edu.kz |
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| ID | Term |
|---|---|
| D002349 | Carpal Tunnel Syndrome |
| D014947 | Wounds and Injuries |
| D006230 | Hand Injuries |
| D014954 | Wrist Injuries |
| ID | Term |
|---|---|
| D020423 | Median Neuropathy |
| D020422 | Mononeuropathies |
| D010523 | Peripheral Nervous System Diseases |
| D009468 | Neuromuscular Diseases |
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| Conventional Computer Mouse | Device | A 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. |
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Peak dynamic movement intensity measured by tri-axial accelerometry and expressed as the 90th percentile of dynamic acceleration (mG). |
| Baseline (during each intervention condition on Day 1) |
| Task completion time | Time required to complete the standardized computer task using the conventional mouse and the AI-assisted computer input system. | Baseline (during each intervention condition on Day 1) |
| Error rate | Percentage of incorrect target selections during the standardized computer task | Baseline (during each intervention condition on Day 1) |
| Self-reported pain | Participant-reported hand and wrist pain after completing each intervention condition, assessed using a numeric rating scale | Immediately after each intervention condition on Day 1 |
| D009422 | Nervous System Diseases |
| D009408 | Nerve Compression Syndromes |
| D012090 | Cumulative Trauma Disorders |
| D013180 | Sprains and Strains |
| D001134 | Arm Injuries |