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The Human Factors Extended Reality (XR) Showcase is an annual, interactive hands-on demonstration session of XR technologies and applications. Attendees can walk to different stations to experience the applications while the presenter explains. The 12 interactive demonstration stations highlight the integration of XR technologies and other technologies, including haptic devices and artificial intelligence, to enable human factor research and applications that span training, learning, research assessment, and simulations. Aligned with the mission of HFES, the purpose of the XR Showcase is to enable individuals to acquire knowledge about XR applications through interactive demonstrations, increase exposure of XR to the HFES community, support content visualization of interdisciplinary research, and create an exchange forum to support communication and collaboration.
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Human Factors Extended Reality Showcase
This alternative format session provides a forum for human factors scholars and practitioners to showcase how state-of-the-art extended reality (XR) applications are being used in academia, defense, and industry to address human factors research. The session will begin with short introductions from each presenter to describe their XR application. Afterward, session attendees will engage with the presenters and their demonstrations, which will be set up around the demonstration floor room. This year’s showcase features XR applications in STEM education, medical and aviation training, agricultural data visualization, homeland security, training design, and visitor engagement in informal learning settings. Our goal is for attendees to experience how human factors professionals use XR to support human factors-oriented research and to learn about the exciting work being conducted with these emerging technologies.
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- Award ID(s):
- 2055680
- PAR ID:
- 10517205
- Publisher / Repository:
- Sage
- Date Published:
- Journal Name:
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Volume:
- 67
- Issue:
- 1
- ISSN:
- 1071-1813
- Page Range / eLocation ID:
- 1495 to 1500
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1177/21695067231192432
