Research graph
References from Hallucinations in organization-backed AI advisors: Evidence about skepticism, verification, and reliance in goal-directed use. Local targets link to admitted publications; unresolved targets remain external evidence.
Survey of hallucination in natural language generation
10.1145/3571730 · 2023 · External reference
Beyond skepticism: can accessing persuasion knowledge bolster credibility?
2017 · External reference
Perceptions of internet information credibility
2000 · External reference
Trust in automation: designing for appropriate reliance
10.1518/hfes.46.1.50.30392 · 2004 · External reference
A decision theoretic framework for measuring AI reliance
2024 · External reference
Appropriate reliance on AI advice: conceptualization and the effect of explanations
2023 · External reference
Fostering appropriate reliance on large language models: the role of explanations, sources, and inconsistencies
2025 · External reference
“I'm not sure, but …”: examining the impact of large language models' uncertainty expression on user reliance and trust
2024 · External reference
To rely or not to rely? Evaluating interventions for appropriate reliance on large language models
2025 · External reference
Improving human-AI collaboration with descriptions of AI behavior
10.1145/3579612 · 2023 · External reference
Three challenges for AI-assisted decision-making
10.1177/17456916231181102 · 2024 · External reference
Detecting hallucinations in large language models using semantic entropy
10.1038/s41586-024-07421-0 · 2024 · External reference
Behavioral indicators of overreliance during interaction with conversational language models
2026 · External reference
Documenting the truth-default: the low frequency of spontaneous unprompted veracity assessments in deception detection
10.1093/hcr/hqz001 · 2019 · External reference
From algorithm aversion to AI dependence: deskilling, upskilling, and emerging addictions in the GenAI age
10.1002/arcp.70008 · 2026 · External reference
To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making
10.1145/3449287 · 2021 · External reference
Effects of LLM-based search on decision making: speed, accuracy, and overreliance
2025 · External reference
Relying on the unreliable: the impact of language models' reluctance to express uncertainty
2024 · External reference
Emerging reliance behaviors in human-AI content grounded data generation: the role of cognitive forcing functions and hallucinations
2025 · External reference
“ChatGPT can make mistakes” warnings fail: a randomized controlled trial
10.1111/medu.70056 · 2026 · External reference
Countering AI-generated misinformation with pre-emptive source discreditation and debunking
10.1098/rsos.242148 · 2025 · External reference
Knowing about knowing: an illusion of human competence can hinder appropriate reliance on AI systems
2023 · External reference
On the conversational persuasiveness of GPT-4
10.1038/s41562-025-02194-6 · 2025 · External reference
Explanations can reduce overreliance on AI systems during decision-making
10.1145/3579605 · 2023 · External reference
Reliability of LLMs as medical assistants for the general public: a randomized preregistered study
10.1038/s41591-025-04074-y · 2026 · External reference
“You always get an answer”: analyzing users' interaction with AI-generated personas given unanswerable questions and risk of hallucination
2025 · External reference
Navigating the jagged technological frontier: field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality
10.1287/orsc.2025.21838 · 2026 · External reference
Polite AI mitigates user susceptibility to AI hallucinations
10.1080/00140139.2024.2434604 · 2025 · External reference
Effects of perceptual fluency on judgments of truth
10.1006/ccog.1999.0386 · 1999 · External reference
Knowledge does not protect against illusory truth
10.1037/xge0000098 · 2015 · External reference
What large language models know and what people think they know
10.1038/s42256-024-00976-7 · 2025 · External reference
New tools, new rules: a practical guide to effective and responsible generative AI use for surveys and experiments in research
10.1177/00222429251349882 · 2025 · External reference
AI–human hybrids for marketing research: leveraging large language models (LLMs) as collaborators
10.1177/00222429241276529 · 2025 · External reference
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2024 · External reference
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2026 · External reference
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The impact of generative AI on critical thinking: Self-reported reductions in cognitive effort and confidence effects from a survey of knowledge workers
2025 · External reference
Lower artificial intelligence literacy predicts greater AI receptivity
10.1177/00222429251314491 · 2025 · External reference
The persuasion knowledge model: how people cope with persuasion attempts
10.1086/209380 · 1994 · External reference
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From algorithm aversion to AI dependence: deskilling, upskilling, and emerging addictions in the GenAI age
10.1002/arcp.70008 · ExternalCitation · doi-reference
Effects of perceptual fluency on judgments of truth
10.1006/ccog.1999.0386 · ExternalCitation · doi-reference
Knowledge does not protect against illusory truth
10.1037/xge0000098 · ExternalCitation · doi-reference
On the conversational persuasiveness of GPT-4
10.1038/s41562-025-02194-6 · ExternalCitation · doi-reference
Detecting hallucinations in large language models using semantic entropy
10.1038/s41586-024-07421-0 · ExternalCitation · doi-reference
Reliability of LLMs as medical assistants for the general public: a randomized preregistered study
10.1038/s41591-025-04074-y · ExternalCitation · doi-reference
What large language models know and what people think they know
10.1038/s42256-024-00976-7 · ExternalCitation · doi-reference
Polite AI mitigates user susceptibility to AI hallucinations
10.1080/00140139.2024.2434604 · ExternalCitation · doi-reference
The persuasion knowledge model: how people cope with persuasion attempts
10.1086/209380 · ExternalCitation · doi-reference
Documenting the truth-default: the low frequency of spontaneous unprompted veracity assessments in deception detection
10.1093/hcr/hqz001 · ExternalCitation · doi-reference
Countering AI-generated misinformation with pre-emptive source discreditation and debunking
10.1098/rsos.242148 · ExternalCitation · doi-reference
“ChatGPT can make mistakes” warnings fail: a randomized controlled trial
10.1111/medu.70056 · ExternalCitation · doi-reference
To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making
10.1145/3449287 · ExternalCitation · doi-reference
Survey of hallucination in natural language generation
10.1145/3571730 · ExternalCitation · doi-reference
Explanations can reduce overreliance on AI systems during decision-making
10.1145/3579605 · ExternalCitation · doi-reference
Improving human-AI collaboration with descriptions of AI behavior
10.1145/3579612 · ExternalCitation · doi-reference
AI–human hybrids for marketing research: leveraging large language models (LLMs) as collaborators
10.1177/00222429241276529 · ExternalCitation · doi-reference
Lower artificial intelligence literacy predicts greater AI receptivity
10.1177/00222429251314491 · ExternalCitation · doi-reference
New tools, new rules: a practical guide to effective and responsible generative AI use for surveys and experiments in research
10.1177/00222429251349882 · ExternalCitation · doi-reference
Three challenges for AI-assisted decision-making
10.1177/17456916231181102 · ExternalCitation · doi-reference
Navigating the jagged technological frontier: field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality
10.1287/orsc.2025.21838 · ExternalCitation · doi-reference
Trust in automation: designing for appropriate reliance
10.1518/hfes.46.1.50.30392 · ExternalCitation · doi-reference
