Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Li, Toby Jia-Jun"'
Many recent AI-powered UX design tools focus on generating individual static UI screens from natural language. However, they overlook the crucial aspect of interactions and user experiences across multiple screens. Through formative studies with UX p
Externí odkaz:
http://arxiv.org/abs/2406.16177
Autor:
Lu, Yuwen, Chen, Meng, Zhao, Qi, Cox, Victor, Yang, Yang, Jiang, Meng, Brockman, Jay, Kay, Tamara, Li, Toby Jia-Jun
Collecting mobile datasets remains challenging for academic researchers due to limited data access and technical barriers. Commercial organizations often possess exclusive access to mobile data, leading to a "data monopoly" that restricts the indepen
Externí odkaz:
http://arxiv.org/abs/2406.16173
Autor:
Bansal, Aakash, Wallace, Robert, Karas, Zachary, Tang, Ningzhi, Huang, Yu, Li, Toby Jia-Jun, McMillan, Collin
Abridged: Programmer attention represents the visual focus of programmers on parts of the source code in pursuit of programming tasks. We conducted an in-depth human study with XY Java programmers, where each programmer generated summaries for 40 met
Externí odkaz:
http://arxiv.org/abs/2405.18573
Autor:
Tang, Ningzhi, Chen, Meng, Ning, Zheng, Bansal, Aakash, Huang, Yu, McMillan, Collin, Li, Toby Jia-Jun
The increasing use of large language model (LLM)-powered code generation tools, such as GitHub Copilot, is transforming software engineering practices. This paper investigates how developers validate and repair code generated by Copilot and examines
Externí odkaz:
http://arxiv.org/abs/2405.16081
In recent years, there has been a growing interest in employing intelligent agents in writing. Previous work emphasizes the evaluation of the quality of end product-whether it was coherent and polished, overlooking the journey that led to the product
Externí odkaz:
http://arxiv.org/abs/2405.12438
Autor:
Ning, Zheng, Zhang, Zheng, Ban, Jerrick, Jiang, Kaiwen, Gan, Ruohong, Tian, Yapeng, Li, Toby Jia-Jun
Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and skills, posing a high barrier for amateur video creators. We present MIMO
Externí odkaz:
http://arxiv.org/abs/2404.15107
Autor:
Gao, Jie, Gebreegziabher, Simret Araya, Choo, Kenny Tsu Wei, Li, Toby Jia-Jun, Perrault, Simon Tangi, Malone, Thomas W.
With ChatGPT's release, conversational prompting has become the most popular form of human-LLM interaction. However, its effectiveness is limited for more complex tasks involving reasoning, creativity, and iteration. Through a systematic analysis of
Externí odkaz:
http://arxiv.org/abs/2404.00405
'I'm categorizing LLM as a productivity tool': Examining ethics of LLM use in HCI research practices
Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may manifest in unexpected ways in human-computer interaction research due to
Externí odkaz:
http://arxiv.org/abs/2403.19876
Autor:
Zhang, Yifan, Li, Jiliang, Karas, Zachary, Bansal, Aakash, Li, Toby Jia-Jun, McMillan, Collin, Leach, Kevin, Huang, Yu
Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. The development of Transformer models has led to extensive use of attention during model design. While existing work
Externí odkaz:
http://arxiv.org/abs/2402.14096
Autor:
Ning, Zheng, Wimer, Brianna L., Jiang, Kaiwen, Chen, Keyi, Ban, Jerrick, Tian, Yapeng, Zhao, Yuhang, Li, Toby Jia-Jun
Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose a high mental load, neglect the diverse needs and preferences of BLV
Externí odkaz:
http://arxiv.org/abs/2402.07300