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重新思考消费者对AI生成创意内容反应中的期望不一致

Rethinking Expectancy Disconfirmation in Consumer Responses to AI-Generated Creative Content

Journal of Advertising Research · 2026
被引 1 · 同刊同年前 4%
ABS 3

中文导读

通过六个实验发现,AI表现低于预期反而增加消费者选择其内容的可能性,而表现高于预期则降低可能性,原因在于过度表现引发威胁感和去人性化,而表现不足则减少威胁并促进人性化。

Abstract

AI is increasingly generating creative content, from ads to visual designs, but consumers often respond with aversion. Across six experiments, we show when and why this resistance can be reduced. We reveal a counterintuitive effect of expectancy disconfirmation: AI underperforming increases the likelihood that consumers choose its content (compared with human-generated content), whereas AI overperforming decreases it. This effect is driven by overperformance triggering perceptions of threat and dehumanization, whereas underperformance reduces threat and fosters humanization. These findings challenge traditional views of expectation disconfirmation. We also identify managerially actionable boundary conditions of this effect.

消费者行为人工智能创意内容期望理论