@article{zahabi_white_zhang_winslow_zhang_huang_kaber_2019, title={Application of Cognitive Task Performance Modeling for Assessing Usability of Transradial Prostheses}, volume={49}, ISSN={["2168-2305"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85063397939&partnerID=MN8TOARS}, DOI={10.1109/THMS.2019.2903188}, abstractNote={The goal of this study was to investigate the use of cognitive modeling to assess the usability of an upper-limb prosthesis with a focus on mental workload responses. Prior studies have investigated usability of upper-limb prostheses with subjective surveys and physiological measures. However, these approaches have limitations, including subject recall of conditions and physiological response contamination by head and body movements and user speech during task performance as well as sensitivity to physical fatigue and room lighting conditions. Cognitive modeling was used to assess mental workload in use of transradial upper-limb prosthesis. A case study was conducted with a participant with upper-limb amputation using two different types of electromyography-based control schemes, including conventional direct control (DC) and pattern recognition (PR) control in order to compare cognitive model outcomes with mental workload assessment using eye-tracking measures. Cognitive models time estimates were also compared with actual task completion time results from the case study to further assess the validity of cognitive modeling as an analytical tool for evaluating upper limb prosthesis usability. Findings of both the cognitive models and case study revealed the PR mode to be more intuitive, reduce cognitive load, and increase efficiency in prosthetic control as compared to the DC mode. Results of the present study revealed that cognitive modeling can be used as an analytical approach for assessing upper-limb prosthetic device usability in terms of workload outcomes. Future studies should validate the present findings with more precise time estimations and a larger user sample size.}, number={4}, journal={IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS}, author={Zahabi, Maryam and White, Melissa Mae and Zhang, Wenjuan and Winslow, Anna T. and Zhang, Fan and Huang, He and Kaber, David B.}, year={2019}, month={Aug}, pages={381–387} }
 @article{white_zhang_winslow_zahabi_zhang_huang_kaber_2017, title={Usability Comparison of Conventional Direct Control Versus Pattern Recognition Control of Transradial Prostheses}, volume={47}, ISSN={["2168-2305"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85032257100&partnerID=MN8TOARS}, DOI={10.1109/thms.2017.2759762}, abstractNote={The goal of this study was to compare the usability of two control schemes for a transradial myoelectric prosthesis, including conventional direct control (DC) and pattern recognition (PR) control, when used by able-bodied individuals. Three types of response measures were captured to assess the control schemes, including learnability, performance, and cognitive workload. Prior research has applied performance and cognitive workload metrics for evaluation of prosthetics; however, workload measures applied in these studies (e.g., heart rate, electroencephalography, and respiration rate) have many limitations. This study used eye tracking to compare cognitive load implications of the different control schemes for a two degrees-of-freedom myoelectric prosthesis. In total, 12 participants were assigned to either control condition (six persons each) or perform a clothespin relocation task. Results revealed the PR scheme to be more intuitive for users and superior to DC across all response measures. We observed a lower learning percentage (i.e., greater learning potential), lower cognitive load, and greater productivity in task performance. This preliminary study illustrates efficacy of using eye-tracking-based measures of cognitive load and standardize test paradigms for assessment of upper limb prosthetic usability and supports PR prosthetic device control as an intuitive alternative to DC.}, number={6}, journal={IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS}, author={White, Melissa Mae and Zhang, Wenjuan and Winslow, Anna T. and Zahabi, Maryam and Zhang, Fan and Huang, He and Kaber, David B.}, year={2017}, month={Dec}, pages={1146–1157} }
 @inproceedings{zhang_white_zahabi_winslow_zhang_huang_kaber_2016, title={Cognitive workload in conventional direct control vs. pattern recognition control of an upper-limb prosthesis}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85015802131&partnerID=MN8TOARS}, DOI={10.1109/smc.2016.7844587}, abstractNote={The purpose of this study was to compare the cognitive workload of able-bodied individuals when using a myoelectric prosthetic under direct control (DC) or electromyography pattern recognition (PR) control. Different from existing clinical evaluations involving dual-task performance, pupillography measured with an eye-tracking system was used to quantitatively assess user cognitive workload in using a 2 degree-of-freedom prosthesis for a clothespin task. Test results revealed the PR control to produce superior task performance and to require lower cognitive load than demanded of participants under the DC condition. This study provided evidence of both performance and workload advantages of PR control over DC control. PR control was more intuitive to the prosthesis user and, therefore, required less cognitive effort. Furthermore, the study identified a new effective measure of cognitive workload in upper limb prosthesis use via pupillography.}, booktitle={Ieee international conference on systems man and cybernetics conference}, author={Zhang, W. J. and White, M. and Zahabi, M. and Winslow, A. T. and Zhang, F. and Huang, He and Kaber, D.}, year={2016}, pages={2335–2340} }