Large language models display the identifiable victim effect at roughly twice the human baseline, strongly amplified by instruction tuning and chain-of-thought prompting but inverted by reasoning-specialized models.
Social Influence 11(3), 199–215 (Jul 2016)
3 Pith papers cite this work. Polarity classification is still indexing.
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Polite chatbot feedback lowers psychological reactance and boosts behavioral intentions but lacks engagement, whereas verbal leakage heightens surprise and engagement at the expense of increased reactance.
Proposes a behavioral model of positive friction to characterize beneficial obstacles in AI user experiences and developer processes, diagnose needs, and suggest design solutions.
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Exploring a Behavioral Model of "Positive Friction" in Human-AI Interaction
Proposes a behavioral model of positive friction to characterize beneficial obstacles in AI user experiences and developer processes, diagnose needs, and suggest design solutions.