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Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies
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 …
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
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 …
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Design guidelines for prompt engineering text-to-image generative models
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 …
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
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 …
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
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 …
users are starting to view them as companions rather than mere assistants. Our study …
Evaluating human-language model interaction
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …
code autocomplete, involve human-LM interaction. However, most benchmarks are non …
3DALL-E: Integrating text-to-image AI in 3D design workflows
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 …
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
Many researchers motivate explainable AI with studies showing that human-AI team
performance on decision-making tasks improves when the AI explains its recommendations …
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
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 …
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
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 …
AI and when to trust themselves. However, prior studies calibrated human trust only based …