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PhD Dissertation Announcement: “Multimodal Situated Analytics (MuSA) for Analyzing Conversations in Extended Reality”
PhD Prelim Announcement: Improving Conversation Analysis Pipeline through Personal Situated Analytics in Extended Reality
EVL PhD Candidate Ashwini Naik Presents ‘V-NeuroStack’ at Neuroscience 2019
Research:
SAGE3: Smart Amplified Group Environment for Harnessing the Data Revolution
MARS3 - Machines Assisting Recovery from Stroke
Ashwini Naik
PhD Graduate, 2024
Computer Science
ashwinignaik@gmail.com
https://sites.google.com/view/ashwinigprojects/
Bibliography
Naik, A. G., Multimodal Situated Analytics (MuSA) for Analyzing Conversations in Extended Reality,
Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science
, Graduate College of the University of Illinois Chicago, July 31, 2024
Johnson, A., Naik, A., Using Personal Situated Analytics (PSA) to Interpret Recorded Meetings,
In The 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct)
, no 42, San Francisco, CA, pp. 1-3, October 29, 2023
Johnson, A., Naik, A., PSA: A Cross-Platform Framework for Situated Analytics in MR and VR,
2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
, Sydney, Australia, October 16, 2023
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