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.
https://i1.wp.com/ming3d.com/new/wp-content/uploads/2020/12/PH-1.jpg?fit=1748%2C7407401748Ming Tanghttp://ming3d.com/new/wp-content/uploads/2022/01/TY_logo-300x300-new.pngMing Tang2020-12-10 20:21:352022-11-18 02:04:22Return to the Third Places.
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.
https://i1.wp.com/ming3d.com/new/wp-content/uploads/2020/11/ARCH7014_P2_SM.jpg?fit=1000%2C100010001000Ming Tanghttp://ming3d.com/new/wp-content/uploads/2022/01/TY_logo-300x300-new.pngMing Tang2020-11-01 21:12:102022-11-18 01:58:07bus stops in Metaverse
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.
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.
https://i1.wp.com/ming3d.com/new/wp-content/uploads/2020/08/police.jpg?fit=1560%2C182518251560Ming Tanghttp://ming3d.com/new/wp-content/uploads/2022/01/TY_logo-300x300-new.pngMing Tang2020-08-03 22:13:332023-02-07 13:18:55VR for Police Training
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.
