Characterizing Human Motor Adaptation and Learning When Using Different Occupational Exoskeletons
| dc.contributor.author | Park, Hanjun | en |
| dc.contributor.committeechair | Nussbaum, Maury A. | en |
| dc.contributor.committeechair | Srinivasan, Divya | en |
| dc.contributor.committeemember | Madigan, Michael L. | en |
| dc.contributor.committeemember | Kim, Sun Wook | en |
| dc.contributor.committeemember | Lim, Sol Ie | en |
| dc.contributor.department | Industrial and Systems Engineering | en |
| dc.date.accessioned | 2025-08-30T08:00:51Z | en |
| dc.date.available | 2025-08-30T08:00:51Z | en |
| dc.date.issued | 2025-08-29 | en |
| dc.description.abstract | Occupational exoskeletons offer promising solutions to reduce biomechanical risk factors and mitigate work-related musculoskeletal disorder risks from manual labor. However, understanding how individuals adapt to these devices over time remains limited, complicating effective design, training, and deployment. This dissertation addresses these gaps through studies examining motor adaptation and learning across diverse exoskeleton types and occupationally relevant tasks. Three separate studies were completed. First, adaptation to a whole-body powered exoskeleton was evaluated during stationary load handling. Novice users initially exhibited task completion times approximately 117% longer than experienced users, improving to 59% longer by the third session. Movement smoothness improved by 30%, and muscle activation patterns converged to those of experienced users over three sessions, yet novices retained up to ∼ 50% longer joint angular velocities. These results highlight the need for extended familiarization to achieve proficient and efficient use of complex multi-joint exoskeletons. Second, the neuromuscular effects of three different arm-support exoskeletons were assessed during lab-simulated overhead tasks. Participants recruited more muscle synergies in dynamic tasks (IQR: 2–5) than pseudo-static tasks (IQR: 1–3), with some task-exoskeleton combinations producing significant local changes in muscle recruitment strategies. Using these exoskeletons tended to shift synergy recruitment from primary arm-elevating muscles toward neck and back muscles, reflecting compensatory motor strategies for device-imposed biomechanical demands. Third, adaptation to passive and active back-support exoskeletons was examined during repetitive lifting over four sessions. Both exoskeletons increased trunk range of motion (by 11◦ to 20◦) relative to no device and reduced hip and knee range of motion by up to 50%. Ratings of perceived exertion for the lower back and legs decreased by approximately 70–75% among exoskeleton users by the final session, with continued reductions between sessions 3 and 4 indicating ongoing adaptation. Perceived mental workload decreased by nearly 50% over the session, with the active device producing less early workload than the passive device. Overall, This work advances understanding of exoskeleton adaptation across physical, neuromuscular, and perceptual domains, identifying factors that inform device design, training, and implementation to promote safer, more effective use in occupational settings. | en |
| dc.description.abstractgeneral | Occupational exoskeletons are wearable devices designed to reduce physical stress and the risk of musculoskeletal injuries in manual labor jobs. While their effectiveness in reducing muscle effort is known, less is understood about how workers get used to the devices over time, and adapt their movements and task performance as they get more familiar with the devices. This dissertation investigated how people learn to use different types of exoskeletons during common workplace tasks, with the long-term goal of improving device design, training, and implementation. The first study examined motor adaptation to a whole-body powered exoskeleton during stationary load handling. Novice users initially took about twice as long to complete tasks compared to experienced users but improved substantially over three sessions. Movement smoothness and muscle activation patterns also approached those of experienced users, although novices continued to rotate their joints more slowly. These findings suggest that extended training is needed to use complex exoskeletons efficiently. The second study focused on arm-support exoskeletons during simulated overhead tasks. Participants recruited more muscle synergies in dynamic tasks than static ones. Additionally, wearing exoskeletons shifted muscle activity from primary muscles in the arm and shoulder to secondary muscles in the neck and back, indicating that users were making adjustments to compensate for constraints imposed by the exoskeletons. The third study explored how users adapt to passive and active back-support exoskeletons during multiple sessions of repetitive lifting. Both types of exoskeletons increased trunk motions while also reducing hip and knee movements. Users reported substantial decreases in perceived physical exertion in the lower back and legs by the final session, yet continued improvement was still evident in the final session, indicating that adaptation remained ongoing. Perceived mental workload also declined over time, with the active device showing less early workload than the passive device. Overall, these studies provided new evidence regarding how users adapt biomechanically and perceptually to different types of exoskeletons during occupational tasks. Understanding these adaptation patterns can guide the development of personalized training programs and more effective device deployment strategies, ultimately enhancing workplace safety and productivity. | en |
| dc.description.degree | Doctor of Philosophy | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:44578 | en |
| dc.identifier.uri | https://hdl.handle.net/10919/137613 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Occupational Ergonomics | en |
| dc.subject | Biomechanics | en |
| dc.subject | Neuromuscular Control | en |
| dc.title | Characterizing Human Motor Adaptation and Learning When Using Different Occupational Exoskeletons | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Industrial and Systems Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Doctor of Philosophy | en |
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