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Workload and Performance Analyses with Haptic and Visually Guided Training in a Dynamic Motor Skill Task

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Computational Surgery and Dual Training

Abstract

This chapter presents the implementation of a progressive haptic guidance scheme for training in a dynamic motor skill acquisition task similar to some dynamic surgical tasks. The training is administered in a haptic and visual virtual environment. The results of the task training protocol concurrently compare the performance and workload of the proposed haptic guidance scheme to a similar visual guidance scheme and to virtual practice with no guidance. The human-user training protocol lasted 11 sessions over a 2-month period. The computerized version of the NASA task load index was administered to all participants during each session, thereby providing subjective workload data across the entire protocol. The analysis of the experimental results demonstrates that only early in the protocol, the progressive haptic guidance group outperforms all other groups. The workload analysis suggests that participants using the proposed haptic scheme have a significantly lower mental load and report less frustration than the others. These findings can be transferred to other virtual training environments used for surgical task training.

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Acknowledgments

This research was supported in part by a grant from the National Science Foundation (IIS-0448341). The authors also acknowledge support received from the TecnolĂłgico de Monterrey to complete the research reported in this chapter.

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Correspondence to Joel C. Huegel .

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Huegel, J.C., O’Malley, M.K. (2014). Workload and Performance Analyses with Haptic and Visually Guided Training in a Dynamic Motor Skill Task. In: Garbey, M., Bass, B., Berceli, S., Collet, C., Cerveri, P. (eds) Computational Surgery and Dual Training. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8648-0_25

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  • DOI: https://doi.org/10.1007/978-1-4614-8648-0_25

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