Shorter LLM response latencies reduce perceived output thoughtfulness and usefulness, while task type affects prompting frequency independently of latency.
Stanovich and Richard F
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4representative citing papers
Experiment finds longer resume viewing time without AI recommendations boosts non-recommended candidates' selection chance by 3-4%, with IAT scores predicting time allocation in human-AI collaboration.
LLMs function as accurate semantic processors for conditionals but do not replicate the pragmatic inferences that define human reasoning.
citing papers explorer
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The Impact of Response Latency and Task Type on Human-LLM Interaction and Perception
Shorter LLM response latencies reduce perceived output thoughtfulness and usefulness, while task type affects prompting frequency independently of latency.
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Resume Screening, Fast and Slow: (Biased) AI Recommendations' Influence on Human Decision Making
Experiment finds longer resume viewing time without AI recommendations boosts non-recommended candidates' selection chance by 3-4%, with IAT scores predicting time allocation in human-AI collaboration.
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Tracing the ongoing emergence of human-like reasoning in Large Language Models
LLMs function as accurate semantic processors for conditionals but do not replicate the pragmatic inferences that define human reasoning.
- Thinking Fast, Thinking Wrong: Intuitiveness Modulates LLM Counterfactual Reasoning in Policy Evaluation