Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Zhao, Shengdong"'
Publikováno v:
UbiComp Companion 2024
Advanced digital assistants can significantly enhance task performance, reduce user burden, and provide personalized guidance to improve users' abilities. However, the development of such intelligent digital assistants presents a formidable challenge
Externí odkaz:
http://arxiv.org/abs/2407.15523
Publikováno v:
UbiComp Companion (2024)
While pilot studies help to identify potential interesting research directions, the additional requirements in AR/MR make it challenging to conduct quick and dirty pilot studies efficiently with Optical See-Through Head-Mounted Displays (OST HMDs, OH
Externí odkaz:
http://arxiv.org/abs/2407.12388
Given the widespread use of procedural instructions with non-linear access (situational information retrieval), there has been a proposal to accommodate both linear and non-linear usage in instructional design. However, it has received inadequate sch
Externí odkaz:
http://arxiv.org/abs/2407.08501
Autor:
Wu, Xi Vivien, Chi, Yuchen, Panneer Selvam, Umadevi, Devi, M Kamala, Wang, Wenru, Chan, Yah Shih, Wee, Fong Chi, Zhao, Shengdong, Sehgal, Vibhor, Ang, Neo Kim Emily
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 4, p e18604 (2020)
BackgroundClinical nursing education provides opportunities for students to learn in multiple patient care settings, receive appropriate guidance, and foster the development of clinical competence and professionalism. Nurse preceptors guide students
Externí odkaz:
https://doaj.org/article/38901cbb401b44e789a2bfce3cec46f4
Autor:
Vu, Minh Duc, Wang, Han, Li, Zhuang, Chen, Jieshan, Zhao, Shengdong, Xing, Zhenchang, Chen, Chunyang
Virtual assistants have the potential to play an important role in helping users achieves different tasks. However, these systems face challenges in their real-world usability, characterized by inefficiency and struggles in grasping user intentions.
Externí odkaz:
http://arxiv.org/abs/2401.14268
Current gesture interfaces typically demand users to learn and perform gestures from a predefined set, which leads to a less natural experience. Interfaces supporting user-defined gestures eliminate the learning process, but users still need to demon
Externí odkaz:
http://arxiv.org/abs/2310.12821
Autor:
Gao, Jie, Cao, Junming, Yeo, ShunYi, Choo, Kenny Tsu Wei, Zhang, Zheng, Li, Toby Jia-Jun, Zhao, Shengdong, Perrault, Simon Tangi
While AI shows promise for enhancing the efficiency of qualitative analysis, the unique human-AI interaction resulting from varied coding strategies makes it challenging to develop a trustworthy AI-assisted qualitative coding system (AIQCs) that supp
Externí odkaz:
http://arxiv.org/abs/2309.13858
Autor:
Janaka, Nuwan, Gao, Jie, Zhu, Lin, Zhao, Shengdong, Lyu, Lan, Xu, Peisen, Nabokow, Maximilian, Wang, Silang, Ong, Yanch
Publikováno v:
SUI 2023
The act of communicating with others during routine daily tasks is both common and intuitive for individuals. However, the hands- and eyes-engaged nature of present digital messaging applications makes it difficult to message someone amidst such acti
Externí odkaz:
http://arxiv.org/abs/2308.15753
In this paper, we make the first attempt to apply the boundary integrated neural networks (BINNs) for the numerical solution of two-dimensional (2D) elastostatic and piezoelectric problems. BINNs combine artificial neural networks with the well-estab
Externí odkaz:
http://arxiv.org/abs/2308.01053
This paper presents a novel approach called the boundary integrated neural networks (BINNs) for analyzing acoustic radiation and scattering. The method introduces fundamental solutions of the time-harmonic wave equation to encode the boundary integra
Externí odkaz:
http://arxiv.org/abs/2307.10521