Understanding the role of human intuition on reliance in human-AI decision-making with explanations
AI explanations are often mentioned as a way to improve human-AI decision-making, but
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
empirical studies have not found consistent evidence of explanations' effectiveness and, on …
How novices use LLM-based code generators to solve CS1 coding tasks in a self-paced learning environment
As Large Language Models (LLMs) gain in popularity, it is important to understand how
novice programmers use them and the effect they have on learning to code. We present the …
novice programmers use them and the effect they have on learning to code. We present the …
" I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust
Widely deployed large language models (LLMs) can produce convincing yet incorrect
outputs, potentially misleading users who may rely on them as if they were correct. To …
outputs, potentially misleading users who may rely on them as if they were correct. To …
Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomy
This systematic review provides an understanding of existing human factors research on
adaptive autonomy, its design, its impacts, and its definition. We conducted a search on …
adaptive autonomy, its design, its impacts, and its definition. We conducted a search on …
Public health calls for/with ai: An ethnographic perspective
Artificial Intelligence (AI) based technologies are increasingly being integrated into public
sector programs to help with decision-support and effective distribution of constrained …
sector programs to help with decision-support and effective distribution of constrained …
Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility Assessment
As misinformation increasingly proliferates on social media platforms, it has become crucial
to explore how to best convey automated news credibility assessments to end-users, and …
to explore how to best convey automated news credibility assessments to end-users, and …
How Time Pressure in Different Phases of Decision-Making Influences Human-AI Collaboration
Human cognitive and decision-making abilities depreciate under pressure, motivating the
emergence of artificial intelligence (AI) systems as decision support tools to assist people in …
emergence of artificial intelligence (AI) systems as decision support tools to assist people in …
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations
We studied clinical AI-supported decision-making as an example of a high-stakes setting in
which explainable AI (XAI) has been proposed as useful (by theoretically providing …
which explainable AI (XAI) has been proposed as useful (by theoretically providing …
Explainable AI decision support improves accuracy during telehealth strep throat screening
C Gomez, BL Smith, A Zayas, M Unberath… - Communications …, 2024 - nature.com
Background Artificial intelligence-based (AI) clinical decision support systems (CDSS) using
unconventional data, like smartphone-acquired images, promise transformational …
unconventional data, like smartphone-acquired images, promise transformational …
Determinants of llm-assisted decision-making
E Eigner, T Händler - arXiv preprint arXiv:2402.17385, 2024 - arxiv.org
Decision-making is a fundamental capability in everyday life. Large Language Models
(LLMs) provide multifaceted support in enhancing human decision-making processes …
(LLMs) provide multifaceted support in enhancing human decision-making processes …