2020
DOI: 10.3389/fpsyg.2020.02242
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How Soundtracks Shape What We See: Analyzing the Influence of Music on Visual Scenes Through Self-Assessment, Eye Tracking, and Pupillometry

Abstract: This article presents two studies that deepen the theme of how soundtracks shape our interpretation of audiovisuals. Embracing a multivariate perspective, Study 1 (N = 118) demonstrated, through an online between-subjects experiment, that two different music scores (melancholic vs. anxious) deeply affected the interpretations of an unknown movie scene in terms of empathy felt toward the main character, impressions of his personality, plot anticipations, and perception of the environment of the scene. With the … Show more

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Cited by 19 publications
(8 citation statements)
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“…Such integration involves both bottom-up (sensory-perceptual) and top-down (expectative) processes: on the one hand, a recipient perceives information using their senses; on the other, one integrates this information using previous knowledge and cognitive schemas stored in the long-term memory [82]. Other studies have already revealed that, under the influence of differently valenced soundtracks for the same video, not only do the viewers generate diverse plot expectations [20,83] and alter their recall of the scene [84,85] (i.e., high-level processing), but they can also be driven and even deceived in a way that impacts their visual perception (i.e., low-level processing) [18][19][20][21]. Therefore, it can be assumed that such a to-be-processed integration, only present in the music conditions, could be the cause of time overestimation in accordance with the memory-based model of time perception.…”
Section: Discussionmentioning
confidence: 99%
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“…Such integration involves both bottom-up (sensory-perceptual) and top-down (expectative) processes: on the one hand, a recipient perceives information using their senses; on the other, one integrates this information using previous knowledge and cognitive schemas stored in the long-term memory [82]. Other studies have already revealed that, under the influence of differently valenced soundtracks for the same video, not only do the viewers generate diverse plot expectations [20,83] and alter their recall of the scene [84,85] (i.e., high-level processing), but they can also be driven and even deceived in a way that impacts their visual perception (i.e., low-level processing) [18][19][20][21]. Therefore, it can be assumed that such a to-be-processed integration, only present in the music conditions, could be the cause of time overestimation in accordance with the memory-based model of time perception.…”
Section: Discussionmentioning
confidence: 99%
“…This method allowed us to present all the possible combinations of valence and arousal (Table 2). Similarly to [20], the four pieces were chosen by considering the findings of [71], and the subsequent studies enumerated by [72] concerning a plethora of psychoacoustic parameters associated with emotional expression in music. Two of the pieces evoked negative affects but differed in the arousal dimension: the After Celan track's soft tone and morbid intensity fosters sadness and tenderness [73].…”
Section: Methodsmentioning
confidence: 99%
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“…Although specific details of horror content may be uncertain, the tropes of horror provide a sense of "certain uncertainty" for the viewer, as they set a template of what the viewer can expect if certain elements are present. For example, the viewer may not know when a jump-scare will occur, but music in the movie can notify the audience that something frightening is imminent and direct them to be vigilant (Ansani et al, 2020). Another example is the mirror trope, in which a character looks in a mirror or reflective surface, there is a cutaway, and then the camera returns to the mirror to reveal that the killer or monster is behind the character.…”
Section: Horror Provides a Predictable Source For Feelings Of Anxietymentioning
confidence: 99%
“…Growing evidence suggests that musical emotions can bias judgments of the emotion of complex visual stimuli, such as dynamic visual scenes and film (Ansani et al, 2020; Cohen, 2001, 2013; Herget, 2021; Steffens, 2020), as well as faces (Hanser et al, 2015; Jeong et al, 2011; Jomori et al, 2013; Logeswaran & Bhattacharya, 2009; Marin et al, 2017; Quarto et al, 2014), geometric shapes/figures (Bhattacharya & Lindsen, 2016; Marshall & Cohen, 1988; Weinreich & Gollwitzer, 2016), and pictures (Arriaga et al, 2014; Baumgartner et al, 2006; Campos-Bueno et al, 2015; Marin et al, 2012). It has been shown, for instance, that emotional judgment of neutral facial stimuli can be systematically biased toward the direction of the emotional valence of the music presented a few seconds before the visual stimuli (Logeswaran & Bhattacharya, 2009), and that brightness judgments of geometric shapes can be affected by the emotional valence of the musical primes (Bhattacharya & Lindsen, 2016).…”
mentioning
confidence: 99%