Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies

V Lai, C Chen, A Smith-Renner, QV Liao… - Proceedings of the 2023 …, 2023 - dl.acm.org
AI systems are adopted in numerous domains due to their increasingly strong predictive
performance. However, in high-stakes domains such as criminal justice and healthcare, full …

A review of recent deep learning approaches in human-centered machine learning

T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Design guidelines for prompt engineering text-to-image generative models

V Liu, LB Chilton - Proceedings of the 2022 CHI conference on human …, 2022 - dl.acm.org
Text-to-image generative models are a new and powerful way to generate visual artwork.
However, the open-ended nature of text as interaction is double-edged; while users can …

[PDF][PDF] Ai transparency in the age of llms: A human-centered research roadmap

QV Liao, JW Vaughan - arxiv preprint arxiv:2306.01941, 2023 - assets.pubpub.org
The rise of powerful large language models (LLMs) brings about tremendous opportunities
for innovation but also looming risks for individuals and society at large. We have reached a …

Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

P Pataranutaporn, R Liu, E Finn, P Maes - Nature Machine Intelligence, 2023 - nature.com
As conversational agents powered by large language models become more human-like,
users are starting to view them as companions rather than mere assistants. Our study …

Evaluating human-language model interaction

M Lee, M Srivastava, A Hardy, J Thickstun… - arxiv preprint arxiv …, 2022 - arxiv.org
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

3DALL-E: Integrating text-to-image AI in 3D design workflows

V Liu, J Vermeulen, G Fitzmaurice… - Proceedings of the 2023 …, 2023 - dl.acm.org
Text-to-image AI are capable of generating novel images for inspiration, but their
applications for 3D design workflows and how designers can build 3D models using AI …

Does the whole exceed its parts? the effect of ai explanations on complementary team performance

G Bansal, T Wu, J Zhou, R Fok, B Nushi… - Proceedings of the …, 2021 - dl.acm.org
Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …

Towards a science of human-ai decision making: a survey of empirical studies

V Lai, C Chen, QV Liao, A Smith-Renner… - arxiv preprint arxiv …, 2021 - arxiv.org
As AI systems demonstrate increasingly strong predictive performance, their adoption has
grown in numerous domains. However, in high-stakes domains such as criminal justice and …

Who should i trust: Ai or myself? leveraging human and ai correctness likelihood to promote appropriate trust in ai-assisted decision-making

S Ma, Y Lei, X Wang, C Zheng, C Shi, M Yin… - Proceedings of the 2023 …, 2023 - dl.acm.org
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …