Return to the Third Places.

Resilient Price Hill. UC Forward C19 co-LAB awards. PI: Conrad kickert. Co-PI: Ming Tang, Yexuan Gu. $17,986. 08.2020-01.2021

ARCH 4001. 
Return to the Third Places: Architectural intervention at the Price Hill, Cincinnati during the COVID-19

Publication:  “Social distancing and behavior modeling with Agent-based simulation”,  CAAD Future 2021 conference Proceeding. 16 – 18 JULY 2021.


Student: Sarah Auger, Maddison DeWitt, Brittany Ellis, Andy Failor, Lisa Garcia, Ashley Kasel, An Le, Hannah Loftspring, Kyle Munn, Deborah Park, Sabrina Ramsay, Haley Schulte, Brayden Templeton, Pwint Wati Oo (Audrey) lead by Prof. Ming Tang.

Funded by the UC Foward, this 4th-year ARCH studio examined several “third places” at the Price Hill, Cincinnati, and propose architectural solutions to create resilient places allowing social distance during the COVID-19.  The ARCH Studio collaborated with Urban Planning ( lead by Prof. Conrad Kickert) and Landscape Architecture ( lead by Prof. Yvonne Gu) and presented research jointly with the Price Hill community including PriceHillWill, Meiser’s Fresh Grocery & Deli.

Thanks for the support of our partners!

The interactive game (Windows version)  can be downloaded here. ( 800MB)

Download student projects. PDF ( password needed)

social distance in two check-out scenarios.

Here is the screen capture of real-time gameplay. A Metaverse of Price Hill.

more information on the collaboration can be found at https://www.resilientpricehill.com/

The research has been presented in MIng Tang’s Paper “Social distancing and behavior modeling with Agent-based simulation” at the CAAD Future 2021 conference. The project was exhibited in 2021 DAAPcares.

bus stops in Metaverse

This is a collective project with 35 students from the VIZ-III course to create a metaverse collectively. Bus stops were designed in Rhino, 3dsmax, Revit, or Sketch-up and brought into Unreal. Please download the demo zip file ( 800MB) here.

VR for Police Training

Active Shooter Simulation

Develop several fully immersive 3D VR active shooter scenarios that can run on cost-effective commercially available VR hardware.

Final Report for OCJS Project

Develop and Assess Active Shooter Virtual Reality Training for Ohio Law Enforcement.  PI: J.C Barnes. Co-PI: Tang Office of Criminal Justice Services. $50,000. 09. 2020-09.2021 ( $29,608)

Development of a Virtual Reality Augmented Violence Reduction Training System for Active and Mass Shooting incidents. PI: Ed Latessa. Co-PIs: J.C. Barnes, Ming Tang, Cory Haberman, Dan Gerard, Tim Sabransky. $10,000. Start-up fund. UC Digital Futures anchor tenant cohort.

Shimmer GSR sensor is used to test Physiological stress. 

Checklist

Using Checklists and Virtual Reality to Improve Police Investigations. Collaborative Research Advancement Grants. UC. $25,000. PI: Haberman. Co-PI: Tang, Barnes. Period: 07.2020-01.2022.

Team:

Ming Tang, Cory Haberman, J.C. Barnes, Cheryl Jonson, Dongrui Zhu, Heejin Lee, Jillian Desmond, Ruby Qiu, Snigdha Bhattiprolu, Rishyak Kommineni

Publications:

Cory P. Haberman, Ming Tang, JC Barnes, Clay Driscoll, Bradley J. O’Guinn, Calvin Proffit,. Using Virtual Reality Simulations to Study Initial Burglary Investigations. American Society of Evidence-Based Policing’s 2023 Conference. 2023. Las Vegas. Nevada.

Design Process

To create simulated human behavior, either during the active shooting, or the casual human dialogue, the team designed a A.I system to simulate the decision trees. Please watch the technique breakdown demo.

Safety Vests

Grant: Assess the effectiveness of Type 2 and Type 3 safety vests for day and night use-Phase. Ohio Department of Transportation. PI: John Ash. Co-PI: Ming Tang. Julian Wang. $337,366.31. ($191,458.16 in FY2020  and  $145,908.15  in  FY2021) Period: 02.2020-02.2022. 

Ming Tang leads the modeling team constructed the virtual reality driving simulation, and conducted eye-tracking data collection to measure driver’s perception on the construction zone and various vest, signage and vehicles.

Work zones are an essential component of any state transportation agency’s construction and maintenance operations. As such, agencies apply numerous practices to keep their workers safe during construction operations. The Ohio Department of Transportation (ODOT) recently invested in several more advanced items to improve worker safety (and traveler safety, by hopefully reducing the number of crashes overall). Specifically, ODOT invested in Type 2 and 3 safety vests, halo lights, and reflectors on the back of dump trucks. In 2020, a team of researchers from the University of Cincinnati (UC) worked with the Ohio Department of Transportation to assess the effectiveness of safety vests for day and night use.

The simulation-based evaluation used measurements to create realistic retroreflective vests, lights, and other safety equipment in virtual scenarios. These items were then placed in different virtual work zone environments, each of which had different work zone setup conditions, traffic control, vests worn by workers, time of day/ambient lighting, etc. Through an eye-tracking experiment measuring participants’ gaze on workers in different virtual work zone scenarios and a driving simulator experiment in which participants drove through virtual work zones and were asked follow-up questions on worker conspicuity, subjective and objective measures of worker visibility were obtained.

Use Virtual Reality and Eye-tracking to evaluate the safety of vest on the highway construction site.

To access copies of the final report, visit:  https://www.transportation.ohio.gov/programs/research-program/research-projects/02-research-projects  

This research was sponsored by the Ohio Department of Transportation and the Federal Highway Administration.

Rural Mobile Living

Image credit: Student award. 2020 DAAPworks Director’s DAAPcares award. Portable Disaster Relief. Students: Noah Nicolette, Jamie Waugaman, Travis Rebsch. 2020

ARCH 4002. Spring 2020
SAID DAAP, University of Cincinnati

Using the 10 miles rural area along I-90 at Lorain County, Ohio as the site, this Rural Mobile Living studio presents a study investigating the rural mobility with an emphasis on architecture as infrastructure and its connection to the means of transportation. Work closely with the Vehicle Design Studio in the School of Design, the research intended to realize the potential of the self-driving car, smart technology, artificial intelligence, machine learning into the architectural design process and address problems such as poverty, lack of transportation means and under-developed infrastructure. Ultimately, the studio looks to build upon the strengths of both vehicle design and architecture methods and explore the possible design solutions for the following five scenarios in the rural areas: “shared living, working homeless, digital nomad, disaster relief, and tourism recreation.

Faculty: Ming Tang
Students: Nick Chism, Maddie Cooke, Amy Cui, Noah Nicolette, Travis Rebsch, Vu Tran Huy Phi, Kristian Van Wiel, David Wade, Jamie Waugaman, Adam Baca. SAID, DAAP.

Award:

Student award. 2020 DAAPworks Director’s DAAPcares award. Portable Disaster Relief. Students: Noah Nicolette, Jamie Waugaman, Travis Rebsch. 2020

Collaborator: Vehicle Design studio. Juan Antonio Islas Munoz, School of Design, DAAP.

Acknowledgment

Thanks for the support from Autodesk Cloud-based computing BIM360.  

Demo

  1. Download our game here. “DCM.zip” (1.2GB) password “daapworks@2020”
  2. Unzip and Run the exe file

 

How to use the interface

  • use M to turn on/off Menu
  • use A W S D or Arrow key to move/drive
  • use C to switch the camera between the first person to the third person
  • use space bar to stop a car
  • use E to get in/out of a car
  • use F to turn on/off flying mode. Then use Q, Z to fly up and down. ( only as a host server or single-player mode)
  • walk into the “glowing green box” to teleport

For Multi-player game

A. Set up Steam on your computer

  1. Set up a Steam account and install Steam in your computer.
  2. Run the Steam program on your computer.
  3. Add Ming Tang as your friend. Friend code “301687106”

B. Join a multiplayer session.

  1. Make sure you use “Internet”, not “Lan”. Single-click the found session, not double click.
  2. You should be able to use “Shift + Tab” to turn on the Steam overlay. Ask questions in the Steam chat room.
  3. Choose the “Find games” option. Once you find an open session, double click the name to join the game.