Research graph
References from Bridging the Human-AI preference gap: A persuasion-oriented tripartite framework. Local targets link to admitted publications; unresolved targets remain external evidence.
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2025 · External reference
Artificial intelligence index report 2026
2026 · External reference
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2025 · External reference
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2025 · External reference
Application of artificial intelligence chatbots, including ChatGPT, in education, scholarly work, programming, and content generation and its prospects: a narrative review
10.3352/jeehp.2023.20.38 · 2023 · External reference
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2023 · External reference
Evaluating the performance of large language models on the MCAT
2025 · External reference
AI achieves a perfect LSAT score
2026 · External reference
AI to the test: measuring ChatGPT's objective accuracy in the SATs in comparison to human performance
2024 · External reference
Deep learning for chest X-ray diagnosis: competition between radiologists with or without artificial intelligence assistance
10.1007/s10278-024-00990-6 · 2024 · External reference
Artificial intelligence (AI) models for the ultrasonographic diagnosis of liver tumors and comparison of diagnostic accuracies between AI and human experts
10.1007/s00535-022-01849-9 · 2022 · External reference
Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment
10.1136/openhrt-2024-003115 · 2025 · External reference
Sycophantic AI decreases prosocial intentions and promotes dependence
10.1126/science.aec8352 · 2026 · External reference
Does sycophancy change decisions? Effect of LLM sycophancy on AI-Assisted decision-making
2026 · External reference
Perceptions of sentient AI and other digital minds: evidence from the AI, morality, and sentience (AIMS) survey
2025 · External reference
Mental models of autonomy and sentience shape reactions to AI
2026 · External reference
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2026 · External reference
Artificial intelligence addiction: exploring the emerging phenomenon of addiction in the AI age
10.1007/s00146-025-02535-z · 2026 · External reference
What is GenAI refusal?
2024 · External reference
Transparency and the black box problem: why we do not trust AI
10.1007/s13347-021-00477-0 · 2021 · External reference
AI adoption in America: who, what, and where
10.1111/jems.12576 · 2024 · External reference
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1993 · External reference
What if we do, but what if we don't? The opportunity cost of artificial intelligence hesitancy in the intensive care unit
10.1007/s00134-024-07747-3 · 2025 · External reference
Navigating the AI-driven transformation of personal finance: opportunities, challenges, and ethical imperatives
10.1108/sl-02-2025-0019 · 2025 · External reference
Resistance to medical artificial intelligence
10.1093/jcr/ucz013 · 2019 · External reference
It just would not work for me: perceived preference heterogeneity and consumer response to AI-driven product recommendations
10.1108/ejm-02-2023-0082 · 2025 · External reference
Human is gold: why premium customers hate chatbots and what to Do about it
10.1177/10949968251322513 · 2026 · External reference
AI and human designers: how consumers see the genuine care in product design as more sustainable
2026 · External reference
Advice quality and source disclosure shape trust in AI-generated ethical advice
10.1038/s41598-026-44258-1 · 2026 · External reference
The effects of explainability and causability on perception, trust, and acceptance: implications for explainable AI
10.1016/j.ijhcs.2020.102551 · 2021 · External reference
Understanding, explaining, and utilizing medical artificial intelligence
10.1038/s41562-021-01146-0 · 2021 · External reference
Explainable AI for pesticide decision-making: enhancing trust in datadriven crop protection models
2025 · External reference
Interpreting black-box models: a review on explainable artificial intelligence
10.1007/s12559-023-10179-8 · 2024 · External reference
Unveiling the black box: bringing algorithmic transparency to AI
10.5817/mujlt2024-1-4 · 2024 · External reference
Requirements for explainability and acceptance of artificial intelligence in collaborative work
2023 · External reference
The trusted partner for financial decision making: romantic partner or AI?
2025 · External reference
Unveiling the human touch: how AI chatbots' emotional support and human-like profiles reduce psychological reactance to promote user self-disclosure in mental health services
2025 · External reference
Human vs. AI: understanding the impact of anthropomorphism on consumer response to chatbots from the perspective of trust and relationship norms
10.1016/j.ipm.2022.102940 · 2022 · External reference
Realistic AI backfires: cross-modal strategies for mitigating uncanny valley effects in AI-enabled livestreaming
2026 · External reference
Is anthropomorphizing AI worth it? The role of hands-on experience in shaping advice uptake
2026 · External reference
Seeing humans in technology: the antecedents, boundaries and consequences of AI anthropomorphism
2026 · External reference
That uncanny valley of mind: when anthropomorphic AI agents disrupt personalized advertising
10.1080/02650487.2024.2411669 · 2025 · External reference
“Are you really sure?” understanding the effects of human self-confidence calibration in AI-assisted decision making
2024 · External reference
Knowing about knowing: an illusion of human competence can hinder appropriate reliance on AI systems
2023 · External reference
Thinking about God increases acceptance of artificial intelligence in decision-making
10.1073/pnas.2218961120 · 2023 · External reference
Marvel and machine: the influence of awe on the acceptance of artificial intelligence
10.1080/01973533.2025.2474436 · 2025 · External reference
Perceived corruption reduces algorithm aversion
10.1002/jcpy.1373 · 2024 · External reference
To err is human: Bias salience can help overcome resistance to medical AI
10.1016/j.chb.2024.108402 · 2024 · External reference
Preference for human, not algorithm aversion
10.1016/j.tics.2022.07.007 · 2022 · External reference
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Machine heuristic in algorithm aversion: perceived creativity and effort of output created by or with artificial intelligence
2025 · External reference
Fairness and trust in AI decision-making: the role of human involvement and outcome favorability
10.1080/10447318.2025.2576634 · 2026 · External reference
My advisor, her AI, and me: evidence from a field experiment on human–AI collaboration and investment decisions
10.1287/mnsc.2022.03918 · 2026 · External reference
Giving AI a human touch: highlighting human input increases the perceived helpfulness of advice from AI coaches
10.1086/730710 · 2024 · External reference
The existence of manual mode increases human blame for AI mistakes
10.1016/j.cognition.2024.105931 · 2024 · External reference
Consumer responses to human-AI collaboration at organizational frontlines: strategies to escape algorithm aversion in content creation: M. Haupt et al.
2025 · External reference
Overcoming algorithm aversion: people will use imperfect algorithms if they can (even slightly) modify them
10.1287/mnsc.2016.2643 · 2018 · External reference
10.2139/ssrn.6956769
10.2139/ssrn.6956769 · External reference
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