着眼于VR:揭示情感广告牌信息的曝光、接收和保留之间的因果链

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Hee Jung Cho, Sue Lim, Monique Mitchell Turner, Gary Bente, Ralf Schmälzle
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引用次数: 0

摘要

从信息暴露到信息接收再到信息效果的因果链被广泛接受为解释传播和信息效果的基本模型。然而,这条链的各个环节往往被孤立地研究,留下了测量差距,损害了实验研究的生态有效性和实际效用。在这里,我们介绍了一个基于vr的范例,它包含了一个现实的消息接收上下文,即模拟汽车在公路上行驶,两侧有广告牌。我们将情感显著性作为核心信息因素以及情境干扰因素。使用虚拟现实集成眼动仪捕捉参与者根据其实际注视行为的偶然和自我决定的信息暴露。与我们的预测一致,结果表明:(1)暴露限制了所有后续效应,(2)分心影响了暴露的可能性,(3)情绪内容的操纵和分心都会影响记忆保留。这个分析暴露-接收-保留链的综合研究生态系统可以广泛应用于各种消息接收上下文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Eyes on VR: Unpacking the Causal Chain Between Exposure, Reception, and Retention for Emotional Billboard Messages

Eyes on VR: Unpacking the Causal Chain Between Exposure, Reception, and Retention for Emotional Billboard Messages

The causal chain from message exposure to reception to effects is widely accepted as the basic explanatory model for communication and message effects. However, the chain’s links were often studied in isolation, leaving measurement gaps that compromise the ecological validity and practical utility of experimental research. Here, we introduce a VR-based paradigm that encompasses a realistic message reception context, that is, a simulated car ride on a highway flanked by billboards. We varied emotional salience as the core message factor as well as contextual distractions. VR-integrated eye trackers were used to capture participants’ incidental and self-determined message exposure dependent on their actual gaze behavior. Consistent with our predictions, results show that (1) exposure gates all subsequent effects, (2) distraction impacts the likelihood of exposure, and (3) both the manipulation of emotional content and distraction affect retention. This comprehensive research ecosystem for assaying the exposure–reception–retention chain can be broadly applied to a variety of message reception contexts.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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