Evaluation of artificial‐intelligence‐enhanced video feedback to improve manufacturing workers' ergonomic postural behavior: A preliminary investigation
Abstract
Workers frequently engage in nonneutral body postures that increase their risk of developing musculoskeletal disorders. The purpose of this study was to extend previous research by evaluating whether the provision of information plus artificial intelligence (AI)-enhanced video feedback could improve manufacturing workers' postural behavior. Four metal manufacturing workers participated in this study. This study's dependent variable was the percentage of time a participant's target body part spent in low-risk, medium-risk, and high-risk ergonomic positions. This study used a nonconcurrent multiple-baseline design across three participants and a nonconcurrent multiple-baseline design across two target responses with one participant. The results showed that three out of four participants' postural behavior improved following the provision of information plus AI-enhanced video feedback. Additionally, an occupational therapist independently evaluated participants' postural behavior before and following the intervention using a validated ergonomic assessment. The occupational therapist's independent ergonomic evaluations corroborated that participants' postural behavior improved.
Fields of Study & Subjects
Musculoskeletal pain and rehabilitation
Ergonomics and Musculoskeletal Disorders
Balance
Gait
and Falls Prevention
Publication details
- Journal / source
- Journal of Applied Behavior Analysis
- Publisher
- Wiley
- Volume
- 59
- Issue
- 1
- Pages
- e70049–e70049
- Publication date
- 1 January 2026
- Language
- EN