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<p>To address the theoretical gap concerning how AI-generated short videos (AI-GSVs) drive impulsive travel intention (ITI) through the synergy of multimodal cues, this study, grounded in the limited capacity model of motivated mediated message processing (LC4MP) and integrating processing fluency theory (PFT) and the heuristic-systematic model (HSM), develops and validates a dual-layer synergistic persuasion model through two experiments. The findings reveal that, on the supply side, the congruence between intelligent personalized presentation style (IPPS) and intelligent personalized narration (IPN) activates a homogeneous fluency superposition that functions as a safety signal to achieve defensive deactivation, thereby liberating cognitive bandwidth and initially inducing ITI through tourism imagination. On the demand side, the video structural framework (user-engagement highlight sequence vs. real-time optimized normal sequence) moderates both the allocation of resources and the resource consumption rate, such that, under the logic of resource supply–demand matching, the liberated cognitive bandwidth drives ITI through the differential mediation of either impression transformation or explicit emotion. The core innovation of this study lies in identifying a pattern of evidence consistent with the cognitive anchoring paradox: although the user-engagement highlight sequence drives high ITI, the high-intensity encoding excessively depletes cognitive resources and crowds out the resources required for deep schema updating, thereby blocking the impression transformation pathway. This suggests that ITI under high-intensity encoding may originate from inhibitory control failure caused by resource depletion, rather than from deep cognitive change. This finding provides preliminary empirical evidence for the resource boundary conditions of the golden three-second rule, advances a theoretical reconceptualization of the ITI formation mechanism from irrational collapse to inhibitory control failure under resource appropriation, and offers guidance for AI-driven short-video tourism e-commerce platforms (AI-SVTEPs) to shift from traffic acquisition to cognitive resource supply–demand management.</p>

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The dual-layer synergistic persuasion model in AI-generated tourism short videos: the synergistic influence mechanism of personalized cue adaptation and structural framework on impulsive travel intention

  • 期刊论文

  • 发表日期：

    2026年4月20日

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  • Shugang Li,
  • Ziyi Li,
  • Ru Wang,
  • Zhaoxu Yu

摘要

To address the theoretical gap concerning how AI-generated short videos (AI-GSVs) drive impulsive travel intention (ITI) through the synergy of multimodal cues, this study, grounded in the limited capacity model of motivated mediated message processing (LC4MP) and integrating processing fluency theory (PFT) and the heuristic-systematic model (HSM), develops and validates a dual-layer synergistic persuasion model through two experiments. The findings reveal that, on the supply side, the congruence between intelligent personalized presentation style (IPPS) and intelligent personalized narration (IPN) activates a homogeneous fluency superposition that functions as a safety signal to achieve defensive deactivation, thereby liberating cognitive bandwidth and initially inducing ITI through tourism imagination. On the demand side, the video structural framework (user-engagement highlight sequence vs. real-time optimized normal sequence) moderates both the allocation of resources and the resource consumption rate, such that, under the logic of resource supply–demand matching, the liberated cognitive bandwidth drives ITI through the differential mediation of either impression transformation or explicit emotion. The core innovation of this study lies in identifying a pattern of evidence consistent with the cognitive anchoring paradox: although the user-engagement highlight sequence drives high ITI, the high-intensity encoding excessively depletes cognitive resources and crowds out the resources required for deep schema updating, thereby blocking the impression transformation pathway. This suggests that ITI under high-intensity encoding may originate from inhibitory control failure caused by resource depletion, rather than from deep cognitive change. This finding provides preliminary empirical evidence for the resource boundary conditions of the golden three-second rule, advances a theoretical reconceptualization of the ITI formation mechanism from irrational collapse to inhibitory control failure under resource appropriation, and offers guidance for AI-driven short-video tourism e-commerce platforms (AI-SVTEPs) to shift from traffic acquisition to cognitive resource supply–demand management.