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SUMMARY:Multimodal Inference and Assistance for Effortless XR Interaction 
 - Aakar Gupta\, Fujitsu Research America
DTSTART:20240307T110000Z
DTEND:20240307T120000Z
UID:TALK212494@talks.cam.ac.uk
CONTACT:John Dudley
DESCRIPTION:Spatial computing wearables promise to usher in the third wave
  of computing devices. How these devices facilitate effective user interac
 tion is an open question. In this talk\, I propose that leveraging multimo
 dal capabilities along with intelligent inference techniques yields highly
  performant and effortless interactions. I'll discuss multiple projects th
 at use multimodal information such as gaze and hand dynamics to implicitly
  infer and enable the user's intent. I'll further discuss how rich wearabl
 e haptics can be designed to aid user interaction in XR.\n\n*Speaker Bio:*
 \nAakar is a Principal Researcher at Fujitsu Research America. Prior to th
 is\, he worked as a Research Scientist at Meta Reality Labs Research for f
 our years. He did his PhD in Computer Science from University of Toronto. 
 Aakar's primary research area is in computational and AI-assisted interact
 ions for spatial computing. Prior to his PhD\, Aakar worked on technology 
 interventions for underserved users in India in collaboration with Microso
 ft Research Bangalore. His work has resulted in 30+ publications at top-ti
 er HCI venues such as CHI and UIST including four Best Paper Honorable Men
 tion Awards.
LOCATION:Sir Arthur Marshall Room\, Engineering Design Centre\, CUED
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