Adaptive Training on Basic AR Interactions: Bi-Variate Metrics and Neuroergonomic Evaluation Paradigms-Reference-Cited by-同舟云学术

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Adaptive Training on Basic AR Interactions: Bi-Variate Metrics and Neuroergonomic Evaluation Paradigms

Published:2023-09-01 Issue: Volume: Page:1-16
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Vyas Shantanu¹,Dwivedi Shivangi²,Brenner Lindsey J.²,Pedron Isabella²,Gabbard Joseph L.³,Krishnamurthy Vinayak R.¹,Mehta Ranjana K.⁴

Affiliation:

1. J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University, College Station, TX, USA

2. Wm Michael Barnes ’64 Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX, USA

3. Grado Department of Industrial & Systems Engineering, Virginia Tech, Blacksburg, VA, USA

4. Department of Industrial & Systems Engineering, University of Wisconsin Madison, Madison, WI, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2023.2250578

Reference89 articles.

1. Brain Activity-Based Metrics for Assessing Learning States in VR under Stress among Firefighters: An Explorative Machine Learning Approach in Neuroergonomics

2. Personalized Training in Fast-Food Restaurants Using Augmented Reality Glasses

4. Efficient 3D Pointing Selection in Cluttered Virtual Environments

5. A survey of 3D object selection techniques for virtual environments

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1. The Design and Evaluation of an AR-based Adaptive Triage Training for Emergency Responders;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-29

2. Recent progress on smart lower prosthetic limbs: a comprehensive review on using EEG and fNIRS devices in rehabilitation;Frontiers in Bioengineering and Biotechnology;2024-08-26

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