Cited by 57Motor Control and AdaptationAugmented Reality ApplicationsHuman-Automation Interaction and Safety

Real-time in-situ visual feedback of task performance in mixed environments for learning joint psychomotor-cognitive tasks

Kotranza, Aaron, Scott Lind, D., Pugh, Carla M., Lok, Benjamin·2009·2009 8th IEEE International Symposium on Mixed and Augmented Reality

Abstract

This paper proposes an approach to mixed environment training of manual tasks requiring concurrent use of psychomotor and cognitive skills. To train concurrent use of both skill sets, the learner is provided real-time generated, in-situ presented visual feedback of her performance. This feedback provides reinforcement and correction of psychomotor skills concurrently with guidance in developing cognitive models of the task.

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Crossref · 10.1109/ismar.2009.5336485

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2 of 2 references verified0 citation errors · 0 not checkable

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  • In realistic VR systems, abstract augmented concurrent feedback was rated beneficial by medical educators and students for learning clinical breast exams.

    “but has been rated to be beneficial by medical educators and students for learning clinical breast exams (Kotranza, Lind, Pugh, & Lok, 2009)”

    From Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2013) · cites this paper as Kotranza, Lind, Pugh, & Lok, 2009

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Authors
Kotranza, A., Scott Lind, D., Pugh, C. M., & Lok, B.
Affiliations
  • University of Florida (US)
  • Northwestern University (US)
Venue
2009 8th IEEE International Symposium on Mixed and Augmented Reality
Publisher
IEEE
Published
2009-10
Pages
125-134
ISSN
1554-7868 (ISSN-L)
OpenAlex
W2127577568
Cited by
57
References
2
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 10 · 2019: 1 · 2018: 5 · 2017: 2 · 2016: 4 · 2014: 3 · 2013: 2 · 2012: 5
FWCI
5.56
Type
conference paper
Language
en
Open access
closed
Locations
Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR (publishedVersion)
Funders
  • National Science Foundation
  • Association for Surgical Education
  • University of Florida
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
Keywords
real-time visual feedback, cognitive modeling, human-robot interaction

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