峰值效应在平面广告视觉图像快速处理中重要吗?情感整合理论的比较研究

Kyunghee Bu, Luri Lee
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引用次数: 0

摘要

本研究调查了平面广告中视觉图像所引发的影响是如何整合起来形成对广告的喜爱的。假设对静止图像的处理是顺序的,而不是同时进行的,我们采用“大声思考”的方法来捕捉消费者对视觉图像的自发反应。我们假设,消费者不仅会对静止的视觉图像表现出混合的影响,而且他们还会启发式地整合他们的一系列影响,而不是像补偿假设所建议的那样简单地平均影响。通过对比两种相互矛盾的情感整合假说(即情感峰值和情绪维持假说)与补偿性整合假说的影响,采用单一回归模型,我们发现平面广告系列情感的负向峰值和情绪维持整合对广告喜好的形成效果最好。研究结果也支持了我们最初的假设,即人们对一个仍在剪辑的广告也会有不同的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is the Peak-Affect Important in Fast Processing of Visual Images in Printed Ads? : A Comparative Study on the Affect Integration Theories
This study investigates how affects elicited by visual images in print ads are integrated to form a liking for the ads. Assuming a sequential rather than simultaneous processing of still-cut images, we adopt the ‘think-aloud’ method to capture consumers' spontaneous responses to visual images. We hypothesize that not only would consumers show mixed affects toward a still-cut visual image but that they would also integrate their serial affects heuristically rather than simply averaging the affects as suggested by the compensatory hypothesis. By comparing the effects of two contradictory affect integration hypotheses (i.e., peak-affect and mood-maintenance) with compensatory integration, using a single regression model, we found that peak-negative along with mood maintenance integration of serial affects for a print ad works best in the formation of ad liking. The results also support our initial premise that people can have mixed valence even toward a still-cut ad.
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