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Publication Tag: Advertising

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2012
536 citations
Emotion-Induced Engagement in Internet Video Advertisements
Teixeira, Wedel, Pieters
This study demonstrates how advertisers can utilize emotion and attention to engage consumers with Internet video advertisements. Through a controlled experiment, the authors evaluated joy and surprise using automated facial expression detection across a sample of ads. They measured attention concentration via eye tracking and assessed viewer retention by monitoring zapping behavior. This approach enabled testing predictions about the interplay between these emotions and individual attention differences during exposure. Findings indicate that both surprise and joy effectively focus attention and retain viewers. Notably, the intensity of surprise has a greater impact on attention concentration than its rate of change , whereas the velocity of joy influences viewer retention more than its level. Additionally, the effect of joy is asymmetric, with increases yielding higher gains than decreases result in losses. Based on these insights, the authors developed representative emotion trajectories to aid in ad design and testing.
2006
612 citations
How to capture the heart? Reviewing 20 years of emotion measurement in advertising
Poels & Dewitte
In recent decades, emotions have become a significant research focus across behavioral sciences, particularly in advertising. However, the literature on measuring emotions in advertising lacks clarity. This article aims to update the various methods used for measuring emotions in advertising, discussing their validity and applicability. It also examines the relationship between emotions and traditional measures of advertising effectiveness, offering recommendations for using different methods and suggesting directions for future research.
2016
32 citations
Embodied resistance to persuasion in advertising
P. Lewinski, M.L. Fransen and E.S. Tan
From the literature on resistance to persuasion in advertising, much is known about how people can resist advertising by adopting resistance strategies, such as avoidance, counter-arguing, and selective attention (e.g., Fransen et al., 2015b). However, the role of emotion regulation and bodily expression in resisting persuasion is so far underexplored. This is a surprising observation if one considers that at least 40% of advertisements use positive emotions (i.e., happiness) to persuade people to like the ad, brand, and product (Weinberger et al., 1995). In this article we present a framework in which we apply previous knowledge and theories on emotion regulation and embodiment to the process of resistance to persuasion. In doing so, we specifically address the role of facial expression in the course of resistance. The literature and findings from our own research lead us to propose that people can resist persuasion by controlling their facial expression of emotion when exposed to an advertisement. Controlling the expression of emotions elicited by an ad (for example refusing to smile) might be a fruitful way to resist the ad’s persuasive potential. Moreover, we argue that co-viewers can affect embodied resistance to persuasion. Showing the viability of embodied resistance to persuasion is relevant in view of the fact that ads trying to persuade us by addressing our positive emotions are ubiquitous. Embodied resistance might help people to cope with these induced positive emotions in order to resist advertisements and might therefore work as a novel and effective strategy to resist persuasion.
2014
209 citations
Predicting advertising effectiveness by facial expressions in response to amusing persuasive stimuli
P. Lewinski, M. L. Fransen, E. S. H. Tan
We present a psychophysiological study of facial expressions of happiness produced by advertisements using the FaceReader system for automatic analysis of facial expressions of basic emotions . FaceReader scores were associated with self-reports of the advertisement’s effectiveness. Building on work describing the role of emotions in marketing research, we examined the relationship between the patterns of the FEBE and the perceived amusement of the advertisements, attitude toward the advertisement and attitude toward the brand . Differences were observed between FEH scores in response to high-, medium-, and low-amusing video advertisements . Positive correlations were found between FEH and AAD and FEH and AB in high- and medium- but not in low-AVAs. As hypothesized, other basic emotions did not predict advertisement amusement or advertisements’ effectiveness. FaceReader enabled a detailed analysis of more than 120,000 frames of video-recordings contributing to an identification of global patterns of facial reactions to amusing persuasive stimuli. For amusing commercials, context-specific FEH features were found to be the major indicators of advertisement effectiveness. The study used video-recordings of participants in their natural environments obtained through a crowd-sourcing platform. The naturalistic design of the study strengthened its ecological validity and demonstrated the robustness of the software algorithms even under austere conditions. Our findings provide first evidence for the applicability of FaceReader methodology in the basic consumer science research.
2015
52 citations
Don’t look blank, happy, or sad: Patterns of facial expressions of speakers in banks’ YouTube videos predict video’s popularity over time
P. Lewinski
There has been little focus on nonverbal communication in social media advertising campaigns. We propose that specific patterns of facial expressions predict the popularity of YouTube videos among users of social media. To test that proposition, we used a neuromarketing tool—FaceReader—to code facial videos of professional speakers who participated in the YouTube social media campaigns of 2 large commercial banks. We analyzed more than 25,000 video frames of 16 speakers’ 6 basic facial expressions. We found that less incidence of affiliative facial emotions and more incidence of nonemotional expressions explained an additional 25% of variance in the video’s popularity after 8 months in t2 , in comparison to t1 as the only baseline predictor. We further showed that the disaffiliative facial emotions of the speakers did not contribute as an indicator of the future performance of social media content. We hope that these findings will open new lines of research in corporate communication by incorporating neuromarketing and nonverbal communication to understand not only what content is effective but how it should be presented.

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