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CVG HOLO

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CVG-HOLO – WAYFINDING HOLOGRAM PROJECT

XR-Lab is working with Cincinnati/Northern Kentucky International Airport (CVG), in collaboration with UC Center for Simulations & Virtual Environments Research, to

  1. Develop and demonstrate a wayfinding hologram.
  2. Evaluate the hologram signage’s performance to augment passengers’ wayfinding experience.
  3. Develop concepts of Concourse-B store renovation, integrating emerging digital technologies related to Extended Reality
  4. Develop a digital twin model of the CVG Concourse-B store area.

The project will apply various methods, including eye-tracking, motion capture, motion tracking, and computer vision.

Hologram. Reference Image from SVG news. 10.2023

Project Client: Josh Edwards, Sr. Manager, Innovation Cincinnati/Northern Kentucky International Airport

UC Team:

  • eXtended Reality Lab: Ming Tang, Director eXtended Reality Lab Digital Futures tangmg@ucmail.uc.edu
  • UCSIM Project Lead: Chris M. Collins.  Director. Center for Simulations & Virtual Environments Research
  • ARCH 7014 students. Fall. 2023

concept of hologram in CVG. by students in ARCH 7014. Fall 2023, UC. 

Thanks for the support from the UHP Discovery Summer program. 

Check out more on the student projects and eye-tracking analysis on CVG renovation.  or way-finding research projects and publications at XR-Lab. 

Kao Metaverse

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The University of Cincinnati, through its Digital Futures complex, will work collaboratively with the UC Center for Simulations & Virtual Environments Research, Lindner College of Business, UC DAAP XR-Lab, and Kao to develop concepts and a minimum viable product for a Jergens virtual tanning experience called the ‘Glowverse.’

KAO-STP-Glowverse VR retail project. GLOWVERSE VIRTUAL SPA (VR) development. UC-SIM + XR-Lab +College of Business. Funded by KAO.  PI: Chris Collins. Co-PI: Ming Tang, Noah Van. $52,122. Period: 2.2023-11.2023.

  • UCSIM Project Lead: Chris M. Collins, Center for Simulations & Virtual Environments
    Research
    UCSIM Technical Lead: Ryan Gorsuch, Center for Simulations & Virtual Environments
    Research
  • UC DAAP Design Lead: Ming Tang, Director of XR-Lab. Registered Architect, RA, NCARB, LEED AP (BD+C),
    and Associate Professor at the School of Architecture and Interior Design, College of Design,
    Architecture, Art, and Planning
  • UC LCOB Marketing Lead: Noah Van Bergen, Asst. Professor, Marketing, Linder Business
    Honors Faculty, Carl H. Lindner College of Business

Industry 4.0/5.0 grant

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Immersive vs. Traditional Training​ – a comparison of training modalities​

PIs: Tamara Lorenz, Ming Tang

  • Dr. Tamara Lorenz. Associate Professor. Embodied Interactive Systems Lab, Industry 4.0 & 5.0 Institute (I45I), Center for Cognition, Action, and Perception (CAP)
  • Ming Tang. Professor. Extended Reality Lab, Industry 4.0 & 5.0 Institute (I45I), Institute for Research in Sensing (IRiS)

Consortium Research Project: evaluate the effectiveness of an immersive training protocol against different traditional training modalities. 

Grant. $40,000. By UC Industry 4.0/5.0 Institute 01.2023-01.2024

Open Questions​

  • Is immersive training equally as effective or better than traditional training? ​
  • Is immersive training beneficial for specific types of training (skill, behavior), while other modalities are better for other types (e.g. knowledge acquisition)?​
  • Does the benefit of immersive VR training warrant the initial investment in equipment and subsequent investment in project building, running, and sustenance?​

Proposal​

  • Evaluation of the effectiveness of an immersive training protocol against different traditional training modalities. ​
  • Evaluation of modality-dependent benefits for different learning goals. ​
  • Derivation of assessment metrics for VR training against other training modalities. 

Training scenario: DAAP Fire Evacuation

traditional training with slides and maps.

VR training with an immersive and interactive experience.

 

 

Thanks to the Institute’s Industrial Advisory Board (IAB) and industry patrons, including Siemens, Kinetic Vision, John Deere, Stress Engineering Services, Innovative Numberics, and Ethicon. 

Next Phase experiments

Multi-player test



 

Links

 2017 Virtual DAAP Fire Evacuation project.

 

At UC News

New UC institute looks ahead to ‘Industry 5.0’. UC will harness collective talent across campus to help companies solve new challenges. by Michael Miller.  December 8, 2022

 

 

NSF: Future of Work

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Ming Tang worked as a co-investigator on the project funded by the NSF Grant. 

Future of Work: Understanding the interrelationships between humans and technology to improve the quality of work-life in smart buildings.

Grant: #SES-2026594 PI:  David W. Wendell. co-PIs: Harfmann, Anton; Fry, Michael; Rebola, Claudia; co-Is: Pravin Bhiwapurkar, Ann Black, Annulla Linders, Tamara Lorenz, Nabil Nassif, John Seibert, Ming Tang, Nicholas Williams, and Danny T.Y. Wu.  01-01-2021 -12-31-2021 National Science Foundation $149,720. Awarded Level: Federal 

 

The primary goal of this proposed planning project is to assemble a diverse, multidisciplinary team of experts dedicated to devising a robust methodology for the collection, analysis, and correlation of existing discipline-specific studies and data. This endeavor focuses on buildings and their occupants, aiming to unearth previously undiscovered interactions. Our research will specifically delve into the intricate interrelationships between four key areas: 1) the overall performance of buildings, 2) the indoor and outdoor environmental conditions, 3) the physical health of the occupants, and 4) their satisfaction with the work environment. This comprehensive approach is designed to provide a holistic understanding of the dynamic between buildings and the well-being of the individuals within them.

 

Prof. Anton Harfmann developed the sensor towers.

 

Ming Tang spearheaded the development of a Digital Twin model, an innovative project integrating multiple historical sensor data sets into a comprehensive, interactive 3D model. This model encompasses several vital features: the capture, analysis, and visualization of historical data; cloud-based data distribution; seamless integration with Building Information Models (BIM); and an intuitive Web User Experience (UX). Building elements are extracted as metadata from the BIM model and then overlaid in screen-based and Virtual Reality (VR) interfaces, offering a multi-dimensional data view. Further details are available at the Cloud-based Digital Twin project for a more in-depth exploration of this work.

 

See more details on the Digital Twin workflow.