Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
2328 The University of Texas at San Antonio (144216)
Principal Investigator: Quarles, John
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 457,105
Exceeds $250,000 (Is it flagged?): Yes
Start and End Dates: 8/31/22 - 8/30/25
Restricted Research: YES
Academic Discipline: none
Department, Center, School, or Institute: Matrix AI Sponsorships
Title of Contract, Award, or Gift: HCC: Medium: HCI in Motion - Using EEG, Eye Tracking, and Body Sensing for Attention-Aware Mobile Mixed Reality
Name of Granting or Contracting Agency/Entity:
National Science Foundation - NSF
CFDA: 41.07
Program Title: none
Note:
SAMs 1.1.1; This research specific objectives are: 1) to assess the cognitive effects of interacting with mobile AR/VR while users are walking, 2) to provide automated tools to effectively reduce the cognitive demand of mobile AR/VR, and 3) to make mobile AR/VR safer and more usable. Based on preliminary data, the central hypothesis is that through multi-modal sensing combined with machine learning approaches, mobile AR/VR applications can learn the characteristics of user behavior and provide real time adaptations that will reduce user error, increase ease of use, improve task performance, and reduce the impact of physical hazards. Educational impact will occur through means such as incorporation of research outcomes into undergraduate and graduate courses offered at UTSA and UCSB, and the research training of both undergraduate and graduate students. The courses include Machine Learning, Deep Learning for Visual Computing, Human-Computer Interaction, and Mobile Application Programming. Because our project integrates a topic of high social impact with cutting edge machine learning and human-computer interaction research along with proven successful mentorship strategies, the educational impacts of our project will be high.
Discussion: No discussion notes