GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality-Reference-Cited by-同舟云学术

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GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality

Published:2024-05-11 Issue: Volume: Page:1-20
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Lee Jaewook¹^ORCID,Wang Jun¹^ORCID,Brown Elizabeth²^ORCID,Chu Liam³^ORCID,Rodriguez Sebastian S.⁴^ORCID,Froehlich Jon E.¹^ORCID

Affiliation:

1. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

2. Computational Linguistics, University of Washington, United States

3. Applied and Computational Mathematical Sciences, University of Washington, United States

4. Department of Computer Science, University of Illinois at Urbana-Champaign, United States

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642230

Reference92 articles.

1. Towards More Transactional Voice Assistants: Investigating the Potential for a Multimodal Voice-Activated Indoor Navigation Assistant for Blind and Sighted Travelers

2. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

3. Creating the Future: Augmented Reality, the next Human-Machine Interface

4. Multimodal Driver Interaction with Gesture, Gaze and Speech

5. Shay Aharon Louis-Dupont Ofri Masad Kate Yurkova Lotem Fridman Lkdci Eugene Khvedchenya Ran Rubin Natan Bagrov Borys Tymchenko Tomer Keren Alexander Zhilko and Eran-Deci. 2023. Super-Gradients. https://doi.org/10.5281/ZENODO.7789328

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