Real-Time Avatar Feedback in Virtual Reality Exercise
Effects of Real-Time Avatar Feedback on Exercise Well-Being and Accuracy: Randomized Crossover Trial in Virtual Reality
1 other identifier
interventional
28
1 country
1
Brief Summary
The goal of this study is to examine whether real-time feedback provided by a virtual trainer avatar during virtual reality (VR) exercise influences participants' exercise well-being and movement accuracy. The study also aims to compare different types of feedback delivered by the avatar. The main questions this study aims to answer are: Does real-time avatar feedback improve exercise well-being during VR-based training? Does real-time avatar feedback improve movement accuracy during exercise? Are there differences between no feedback, verbal feedback, and combined verbal-gestural feedback? Researchers will compare three VR exercise conditions: no feedback, verbal feedback, and combined verbal-gestural feedback, using a randomized crossover design so that each participant experiences all conditions. Participants will: Take part in three VR exercise sessions, each lasting approximately 15 minutes Complete the sessions under different feedback conditions, with the order randomized Perform guided physical exercises while wearing a VR headset and following a virtual trainer avatar Provide self-reported ratings of exercise experience after each session This study is an interventional, randomized crossover trial conducted in adults, with all procedures completed during a single study period.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started May 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
May 6, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 24, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
May 24, 2024
CompletedFirst Submitted
Initial submission to the registry
January 13, 2026
CompletedFirst Posted
Study publicly available on registry
February 3, 2026
CompletedFebruary 3, 2026
January 1, 2026
18 days
January 13, 2026
January 26, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Exercise Accuracy Index (EAI) based on motion tracking during VR exercise
Exercise accuracy was quantified using the Exercise Accuracy Index (EAI) derived from real-time motion tracking. The EAI reflects how accurately participants reproduced the virtual trainer's movements in terms of pace and range of motion across fourteen moderate-intensity exercises. For each exercise, the trainer's movement served as the reference pattern. Acceptable variability was defined using the distribution of group performance: pace was accurate if it fell within ±1 SD of the trainer's baseline, and range of motion, recorded in absolute values, was accurate if it did not exceed +1 SD from the trainer's benchmark. This accounts for natural inter-individual differences while identifying meaningful deviations. An exercise was classified as correct only if both criteria were met. The EAI ranges from 0 to 14, where 0 indicates no correct exercises and 14 indicates all exercises performed accurately during the session.
During each VR training session across fourteen moderate-intensity exercises (up to three sessions per participant); not assessed during inter-exercise rest periods or during the final low-intensity cool-down exercise.
Exercise Well-Being
Exercise well-being was assessed as participants' immediate emotional state experienced during the VR exercise session. The measure was based on the short mood assessment tool by Wilhelm and Schoebi (2007) and captures momentary affect rather than stable trait well-being. The scale consists of four bipolar items: discontented-contented, unwell-well, tense-relaxed, and agitated-calm. Each item is rated on a 7-point semantic differential in response to the prompt: "During the training session I have just performed, I felt…". Item scores are averaged to produce a single affective well-being score, with higher values indicating more positive affect during exercise.
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
Secondary Outcomes (7)
Affective Attitude Toward Exercise Score
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
Trainee - Trainer Closeness Score
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
Trainee - Trainer Complementarity Score
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
Trainee-Trainer Commitment Score
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
Perceived Exertion Rating
Immediately after each VR training session via computer-assisted web-based questionnaire (CAWI), up to three sessions per participant.
- +2 more secondary outcomes
Study Arms (3)
No Feedback
EXPERIMENTALParticipants perform a virtual reality exercise session without receiving any real-time feedback from the virtual trainer avatar.
Verbal Feedback
EXPERIMENTALParticipants perform a virtual reality exercise session while receiving real-time verbal feedback from the virtual trainer avatar.
Verbal and Gestural Feedback
EXPERIMENTALParticipants perform a virtual reality exercise session while receiving combined real-time verbal and gestural feedback from the virtual trainer avatar.
Interventions
Participants perform a standardized exercise session in a virtual reality environment guided by a virtual trainer avatar. The avatar demonstrates the exercises but does not provide any real-time verbal or gestural feedback during the session.
Participants perform a standardized exercise session in a virtual reality environment guided by a virtual trainer avatar. Real-time motion data are analyzed by the VR system, and the avatar provides adaptive verbal feedback during the exercise session.
Participants perform a standardized exercise session in a virtual reality environment guided by a virtual trainer avatar. Real-time motion data are analyzed by the VR system, and the avatar provides adaptive verbal and gestural feedback during the exercise session.
Eligibility Criteria
You may qualify if:
- Adults aged 18-50 years
- Ability to provide informed consent
- Ability to perform light to moderate physical exercise
- No contraindications to participation in virtual reality-based exercise
You may not qualify if:
- Age below 18 or above 50 years
- Individuals with a high level of habitual physical activity, defined as engaging in structured physical exercise more than three times per week
- Musculoskeletal, neurological, or cardiovascular conditions that limit safe participation in exercise
- Known susceptibility to severe motion sickness or adverse reactions to virtual reality
- Any condition preventing safe use of a VR headset
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Information Processing Institute
Warsaw, 00-608, Poland
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- CROSSOVER
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 13, 2026
First Posted
February 3, 2026
Study Start
May 6, 2024
Primary Completion
May 24, 2024
Study Completion
May 24, 2024
Last Updated
February 3, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- Data will be available upon reasonable request after publication of the primary results.
- Access Criteria
- Access to de-identified data will be granted to researchers who submit a methodologically sound proposal. Requests will be reviewed by the study investigators and data will be shared in accordance with institutional policies and data protection regulations.
De-identified individual participant data underlying the results reported in the publication, including outcome measures.