CVG Airport renovation

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Cincinnati/Northern Kentucky International Airport (CVG) renovation project.

This dynamic course delves into designing human-centric, technologically advanced retail spaces at CVG, addressing contemporary challenges. Collaborating directly with CVG, we focus on conceptualizing the “Future CVG Experience,” exploring pivotal questions: envisioning the future look of CVG, the transformative impact of AR and VR on airport experiences, integrating the metaverse and immersive technologies into retail, and the potential for public art and recreational programs to enrich the traveler’s journey.

Faculty: Ming Tang. Director of XR-Lab, DAAP, UC. Thanks the support from Josh Edwards from CVG, and Chris Collins and Eric Camper from UC SIM. 

Twelve proposed scenarios of future CVG. 

Student: ARCH 7014. Fall. 2023.

Stephanie Ahmed, Ben Aidt, Thimesha Amarasena, Heather Cheng, Stephanie Circelli, Catherine D’Amico, Gabby Dashiell, Nikunj Deshpande, Carson Edwards, Olufemi Faminigba, Christopher Fultz, Emma Hausz, Jinfan He, Haley Heitkamp, Robin Jarrell, Emily Jaster, Bhaskar Jyoti Kalita, Analise Kandra, Sreya`Killamshetty, Japneet Kour, Thomas Magee, Mea McCormack, Sepideh Miraba, Dan O’Neill, Shailesh Padalkar, Gaurang Pawar, Urvi Prabhu, Michael Rinaldi-Eichenberg, Kelby Rippy, Will Roberts, Chris Schalk, Miles Sletto, Lizzy Sturgeon, Shruthi Sundararajan, Erika VanSlyke, Clayton Virzi, Yue Wu

The heatmap represents the fixation and gaze. 

Check more research on eye-tracking conducted by Prof. Tang at XR-Lab. >>

paper on JEC

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Paper published in the Journal of Experimental Criminology.

Cory P. Haberman, Ming Tang, JC Barnes, Clay Driscoll, Bradley J. O’Guinn, Calvin Proffit, The Effect of Checklists on Evidence Collection During Initial Investigations A Randomized Controlled Trial in Virtual Reality. Journal of Experimental Criminology. 

Objective To examine the impact of an investigative checklist on evidence collection by police officers responding to a routine burglary investigation.

Methods A randomized control trial was conducted in virtual reality to test the effectiveness of an investigative checklist. Officers in the randomly assigned treatment group (n = 25) were provided with a checklist during the simulated investigation. Officers in the control group (n = 26) did not have access to the checklist at any time. The checklist included five evidence items commonly associated with burglary investigations.

Results Officers who were randomly provided with an investigative checklist were significantly more likely to collect two evidence items located outside of the virtual victim’s home. Both treatment and control officers were about equally as likely to collect three evidence items located inside the residence.

Conclusions Investigative checklists represent a promising new tool officers can use to improve evidence collection during routine investigations. More research is needed, however, to determine whether checklists improve evidence collection or case clearances in real-life settings. Virtual reality simulations provide a promising tool for collecting data in otherwise difficult or complex situations to simulate

Keywords: Investigations, Burglary, Checklists, Policing, Experiment, Randomized controlled trial

more information on this VR police training project available here. 

UHP Spring 2024

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ARCH3051. UHP Spring 2024 course: 

Human-Computer Interaction in the Age of Extended Reality & Metaverse

Ming Tang. Professor, Director of Extended Reality Lab (XR-Lab). UC Digital Future.

Institute for Research in Sensing (IRiS); Industry 4.0 & 5.0 Institute (I45I)
School of Architecture and Interior Design, College of Design Architecture Art and Planning
Class Time: T. TH 12:30pm – 1:50pm. Spring Semester. 2024. 

Location: 4425 E CGC Lab @ DAAP

Note: This course is open to UG students in the UC Hornos Program. 

Prerequisite: There are no skills needed as prerequisites for this introduction-level course on XR.

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MIND VR

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Digital Human

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The digital human project explores (1) high-fidelity digital human modeling and motion capture including Full body + Facial motion capture. (2) Large Language Model integration with digital human, powered by ChatGPT and Open AI. 

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