›Try It

›Video

›Notes

• 20 healthy older adults and 31 patients with MCI took this task. Hand movement speed · fixation ratio · completion time · errors — all four markers separated the two groups.
• Hand and gaze need a VR controller and an eye tracker. This browser demo measures only completion time and errors.
• The test takes 5–15 minutes. Adding MRI biomarkers lifts classification accuracy to 94.4%.
• These screens are the interface used in the validation study. A demonstration, not a screening test.

›Publications

• Validation studies
• 2023Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation StudyJournal of Medical Internet Research SCIE · Q1 · Top 3% — the validation study behind this demo
• 2023Virtual kiosk test for early screening of mild cognitive impairmentHCI Korea 2023 First report of the virtual kiosk task
• 2022Early screening of mild cognitive impairment through hand movement analysis in virtual reality based on machine learningJournal of Cognitive Intervention and Digital Health
• Follow-up studies
• 2025Beyond Missing Data: A Multimodal Approach Using VR-EEG-MRI (VEEM) Biomarkers for Detecting MCICHI 2025 Extended Abstracts · Student Research Competition 2nd Place Award
• 2024Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation StudyJournal of Medical Internet Research SCIE · Q1 · Top 3%
• 2024Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEPSensors SCIE · Q1
• 2024Decoding Behavior: Utilizing Virtual Reality Digital Marker and Machine Learning for Early Detection of Mild Cognitive ImpairmentCHI 2024 Extended Abstracts · Late Breaking Work Acceptance rate: 33.8%
• 2024Exploring the Multimodal Integration of VR and MRI Biomarkers for Enhanced Early Detection of Mild Cognitive ImpairmentCHI 2024 Extended Abstracts · Late Breaking Work Acceptance rate: 33.8%
• 2024Early screening of mild cognitive impairment using multimodal VR-EP-EEG-MRI (VEEM) biomarkers via machine learningICEIC 2024
• 2024Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive DiagnosisITC-CSCC 2024
• 2023VR-EP-EEG-MRI digital biomarkers: Multi-modal machine learning model for detecting mild cognitive impairmentJournal of the Neurological Sciences SCIE · Q2

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