Assess the effectiveness of using 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 of Ageing, LiveWell Collaborative. $19,844. 03. 2021-3.2022

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.

COA is rewardeded $25,000 from the CTA Foundation Grant to sustain the project.

In the UC News. share point.

paper published in IJAEC

Ming Tang (2021). “Visual Perception: Eye-tracking and Real-time Walkthroughs in Architectural Design.” International Journal of Architecture, Engineering and Construction, 10(1), 1-9.

Visual Perception: Eye-tracking and Real-time Walkthroughs in Architectural Design

This paper discusses the application of Eye Tracking (ET) technologies as a new way for researchers to understand a person’s perception of a build environment regarding wayfinding and other spatial features. This method was beneficial for informing reviewers how an existing place or a proposed design was performing in terms of user experience. Combining ET with real-time walkthrough (RTW) and analytical platform allowed designers to make real-time changes and instantly see how these choices affected a user’s visual attention and interaction. This paper also presents a study investigating the architectural features emphasizing the simulated human behavioral cues and movement information as input parameters. The research is defined as a hybrid method that seeks augmented architectural experience, wayfinding and analyzes its’ performance using ET and RTW. While presenting their concepts through RTW, students used the Tobii Pro eye tracker and analytical software to investigate the attractiveness of the proposed experience related to the five spatial features: face, edge, intensity, blue-yellow contrast, and red-green contrast. The studio projects extended psychological architecture study by exploring, collecting, analyzing, and visualizing behavioral data and using the ET analysis to optimize the design presented through walking and driving simulations. ET allowed students in the transit hub design studio to investigate various design iterations about human perception to enhance spatial organization and navigation.

Authors: Ming Tang (University of Cincinnati).
Issue: Vol 10, No 1 (2021)
Pages: 1-9
Section: Research Paper
DOI: http://dx.doi.org/10.7492/IJAEC.2021.001

This research project was conducted in fall, 2018 at the Urban Mobility Studio, supported by the UC Forward program at the University of Cincinnati. The studio re-flection and proposals are provided by the graduate students: Alan Bossman, Shreya Jasrapuria, Grant Koniski, Jianna Lee, Josiah Ebert, Taylour Upton, Kevin Xu, Yin-ing Fang, Ganesh Raman, Nicole Szparagowski, and Niloufar Kioumarsi. The thesis research was conducted by Lorrin Kline.

 

VR for Police Training

Active Shooter

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

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.

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

 

 

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