VidAdapter
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2023/09/27
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Indian UGC (journal)
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Refrences46
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Ashwin Ram NUS-HCI Lab, Department of Computer Science, National University of Singapore, Singapore ORCID (unauthenticated)
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Han Xiao School of Electronic Engineering and Computer Science, Queen Mary University of London, Peter Landin Building, Bethnal Green, London, United Kingdom ORCID (unauthenticated)
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Shengdong Zhao NUS-HCI Lab, Department of Computer Science, National University of Singapore, Singapore and CNRS@CREATE LTD, CREATE Tower, Singapore ORCID (unauthenticated)
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Chi-Wing Fu Institute of Medical Intelligence and XR, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong ORCID (unauthenticated)
Abstract
Cite
Ram, Ashwin, et al. “VidAdapter”. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 7, no. 3, 2023, pp. 1-19, https://doi.org/10.1145/3610928.
Ram, A., Xiao, H., Zhao, S., & Fu, C.-W. (2023). VidAdapter. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 7(3), 1-19. https://doi.org/10.1145/3610928
Ram, Ashwin, Han Xiao, Shengdong Zhao, and Chi-Wing Fu. “VidAdapter”. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 3 (2023): 1-19. https://doi.org/10.1145/3610928.
Ram A, Xiao H, Zhao S, Fu CW. VidAdapter. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2023;7(3):1-19.
Journal Categories
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Working memory capacity and mobile multimedia learning environments: Individual differences in learning while mobile | 2008 | |||
| Retrieved | 2014 | |||
| Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics | 2013 | |||
| Retrieved | 2011 | |||
| SUS: A quick and dirty usability scale. Usability Eval. Ind. 189 (11 | 1995 |