Posts

Therapeutic Crisis Intervention Simulation

VR-based Employee Safety Training. Therapeutic Crisis Intervention Simulation 

Grant:

  1. Virtual Reality for Employee Safety Training. Phase I. Sponsored research by the Cincinnati Children’s Hospital Medical Center. PI. Ming Tang. $16,631. Period: 6.2022- 09.2022.
  2. Virtual Reality for Employee Safety Training.Therapeutic Crisis Intervention Simulation-Phase II.  Sponsored research by the Cincinnati Children’s Hospital Medical Center. PI. Tang. $22,365. Period: 2.2023- 12.2023.

Under the leadership of Ming Tang, the XR-Lab is collaborating with the Cincinnati Children’s Hospital Medical Center (CCHMC) to develop a VR-based simulation to enhance employee safety training. This initiative involves creating a virtual hospital environment with AI-controlled characters to facilitate research on diverse scenarios encountered during therapeutic crisis interventions. A vital feature of this simulation is the VR dialogue between a staff member and a teenage patient exhibiting aggressive behavior and mental illness. The primary objective is to equip staff members with the necessary skills to de-escalate tense situations effectively and adhere to appropriate protocols, thereby ensuring a safer and more controlled environment for staff and patients.

Team:

  • Ming Tang, Nancy Daraiseh, Maurizio Macaluso, Krista Keehn, Harley Davis, Aaron Vaughn, Katheryn Haller,  Joseph Staneck, Emily Oehler
  • Employee Safety Learning Lab, CCHMC
  • Extended Reality (XR) Lab, UC

Field of research: Virtual Reality, Safety Training, Therapeutic Crisis Intervention, Mental Health,  Human Behavior Simulation

screenshots from  Mobile VR Quest 2 headset.

 

NSF: Future of Work

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.

 

Building Safety Analysis with Machine Learning

Grant received:

  1. Geospatial Imagery Analytics Research. Phase I. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. Co-PI: Jiaqi Ma. $59,000. Period: 02.2020- 12.2021. Completed.
  2. Geospatial Imagery Analytics Research. Phase II. Sponsored research by the Cincinnati Insurance Companies. P.I. Tang. $79,980. Period: 10.2021- 08.2022. Grant: G402236. 2021. Ongoing.
  3. Geospatial Imagery Analytics Research. Phase III. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $15,709. Period: 6.2022- 06.2023.
  4. Geospatial Imagery Analytics Research. Phase-4. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $48,646. Period: 1.2023- 10.2023.
  5. Geospatial Imagery Analytics Research. Phase-5. Sponsored research by the Cincinnati Insurance Companies. PI. Tang. $72,350. Period: 10.2023- 11.2024.

The goal is to use A. I, Machine Learning, Deep Learning algorithm to understand the correlations between building safety to its typology and context. Please contact Professor Ming Tang if you are a UC student and interested in participating in the project.

Login to the project resource page. ( password needed)

 

Eye-Tracking for Drivers’ Visual Behavior

Impacts of Work Zone Traffic Signage Devices and Environment Complexity on Drivers’ Visual Behavior and Workers Safety.

Ph.D student: Adebisi, Adekunle. CEAS – Civil & Arch Eng & Const Mgmt

Undergraduate student: Nathan Deininger, 

Faculty. Ming Tang

The objective of this study is to investigate the safety of roadway workers under varying environmental and work zone conditions. To achieve the objectives, a driving simulator-based experiment is proposed to evaluate drivers’ visual attention under various work zone scenarios using eye-tracking technologies.

Grant.

  • Using Eye- Tracking to Study the Effectiveness of Visual Communication. UHP Discovery funding. University Honor Program. UC. $5,000. Faculty advisor. 2021.
  • Adekunle Adebisi  (Ph.D student at the College of Engineering and Applied Science) applied and received a $3,200 Emerging Fellowship Award By Academic Advisory Council for Signage Research and Education (AACSRE).

 

Virtual Reality for caregiver training

Assess the effectiveness of using Virtual Reality for caregiver training

Urban Health Pathway Seed Grant. PI: Ming Tang. Partner. Council on Ageing, LiveWell Collaborative. $19,844. 03. 2021-3.2022

Result: COA EVRTalk 

EVRTalk virtual reality caregiver training

 

This project aims to investigate the effectiveness of using Virtual Reality to build empathy for the care recipient by allowing the caregiver to experience day-to-day life from the care recipient’s perspective. Ming Tang leads a research team to work with COA and LiveWell Collaborative to develop and evaluate an expandable set of VR training modules designed to help train family and friends who are thrust into the caregiving role. Ming Tang lead the LWC team and design the simulated decision trees, scenarios, and hand-tracking technologies in an immersive VR environment.

Team members: Ming Tang, Matt Anthony,Craig Vogel, Linda Dunseath, Alejandro Robledo, Tosha Bapat, Karly Camerer, Jay Heyne, Harper Lamb, Jordan Owens, Ruby Qji, Matthew Spoleti, Lauren Southwood, Ryan Tinney, Keeton Yost, Dongrui Zhu

 

COA is awarded $25,000 from the CTA Foundation Grant in 2021.

In the UC News. share point.