What is human-centered about human-centered AI? A map of the research landscape

T Capel, M Brereton - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

Exploring challenges and opportunities to support designers in learning to co-create with AI-based manufacturing design tools

F Gmeiner, H Yang, L Yao, K Holstein… - Proceedings of the 2023 …, 2023 - dl.acm.org
AI-based design tools are proliferating in professional software to assist engineering and
industrial designers in complex manufacturing and design tasks. These tools take on more …

The programmer's assistant: Conversational interaction with a large language model for software development

SI Ross, F Martinez, S Houde, M Muller… - Proceedings of the 28th …, 2023 - dl.acm.org
Large language models (LLMs) have recently been applied in software engineering to
perform tasks such as translating code between programming languages, generating code …

Synthetic lies: Understanding ai-generated misinformation and evaluating algorithmic and human solutions

J Zhou, Y Zhang, Q Luo, AG Parker… - Proceedings of the 2023 …, 2023 - dl.acm.org
Large language models have abilities in creating high-volume human-like texts and can be
used to generate persuasive misinformation. However, the risks remain under-explored. To …

Social dynamics of AI support in creative writing

KI Gero, T Long, LB Chilton - Proceedings of the 2023 CHI Conference …, 2023 - dl.acm.org
Recently, large language models have made huge advances in generating coherent,
creative text. While much research focuses on how users can interact with language models …

Toward general design principles for generative AI applications

JD Weisz, M Muller, J He, S Houde - arxiv preprint arxiv:2301.05578, 2023 - arxiv.org
Generative AI technologies are growing in power, utility, and use. As generative
technologies are being incorporated into mainstream applications, there is a need for …

Charting the sociotechnical gap in explainable ai: A framework to address the gap in xai

U Ehsan, K Saha, M De Choudhury… - Proceedings of the ACM …, 2023 - dl.acm.org
Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the
sociotechnical gap-divide between the technical affordances and the social needs …

Minding language models'(lack of) theory of mind: A plug-and-play multi-character belief tracker

M Sclar, S Kumar, P West, A Suhr, Y Choi… - arxiv preprint arxiv …, 2023 - arxiv.org
Theory of Mind (ToM) $\unicode {x2014} $ the ability to reason about the mental states of
other people $\unicode {x2014} $ is a key element of our social intelligence. Yet, despite …

Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs

M Kazemitabaar, R Ye, X Wang, AZ Henley… - Proceedings of the CHI …, 2024 - dl.acm.org
Timely, personalized feedback is essential for students learning programming. LLM-
powered tools like ChatGPT offer instant support, but reveal direct answers with code, which …

UX research on conversational human-AI interaction: A literature review of the ACM digital library

Q Zheng, Y Tang, Y Liu, W Liu, Y Huang - Proceedings of the 2022 CHI …, 2022 - dl.acm.org
Early conversational agents (CAs) focused on dyadic human-AI interaction between humans
and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in …