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Personality and Uses of Music as Predictors of Preferences for Music Consensually Classified as Happy, Sad, Complex, and Social

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This study replicates the findings of a recent study (Chamorro-Premuzic, Gomà-i-Freixanet, Furnham, & Muro, 2009) on the relationship between the Big Five personality traits and everyday uses of music or people's motives for listening to music. In addition, it examined emotional intelligence as predictor of uses of music, and whether uses of music and personality traits predicted liking of music consensually classified as sad, happy, complex, or social. A total of 100 participants rated their preferences for 20 unfamiliar musical extracts that were played for a 30-s interval on a website and completed a measure of the Big Five personality traits. Openness predicted liking for complex music, and Extraversion predicted liking for happy music. Background use of music predicted preference for social and happy music, whereas emotional music use predicted preference for sad music. Finally, males tended to like sad music and use music for cognitive purposes more than females did. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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... A robust body of literature has documented the relationship between personality and music preference (Rentfrow & Gosling, 2003;Vella & Mills, 2017); personality and music-evoked emotions (Chamorro-Premuzic et al., 2010;Silvia et al., 2015); music preference and music-evoked emotions (Schäfer & Sedlmeier, 2010); empathy and music-evoked emotions (Eerola et al., 2016). In recent years, there is increasing support for the role of absorption in aesthetic experience in general, which is extended to musical emotions as well. ...
Thesis
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Music is widely used for leisure, relaxation purposes in everyday life and in healthcare settings. While existing behavioral studies have mapped out basic relationships between musical features and emotions, it remains unclear why different individuals have similar or different emotional responses to music. This points towards a need to examine music-listener relationship, which could be examined by discussing underlying psychological mechanisms and considering an individual’s level of familiarity with a musical style on music-evoked emotions. Neuroimaging studies have also increasingly suggested the involvement of a widely distributed network of brain regions in music-evoked emotions, beyond the established indices of emotional processing (e.g., frontal alpha asymmetry). Moreover, the role of individual differences in music-evoked emotions, particularly absorption trait, are often either not systematically examined or considered in conjunction with neuropsychological processes. Therefore, this thesis aims to integrate perspectives from psychological sciences and neurocognitive sciences to clarify and examine individual variation in music-evoked emotions.
... However, our results conflict with Qiu et al. (2019), who successfully related Emotional Stability to lyrics-based music preferences when only investigating participants' favorite songs, whose lyrics may be particularly meaningful compared to those of all played songs. While it seems reasonable that Emotional Stability may be connected to music listening (e.g., the emotionality of song lyrics), which is commonly used for emotion regulation, such relationships may vary intra-individually and be dependent on the emotional context of a music listening situation (i.e., the listener's mood; e.g., Chamorro-Premuzic et al., 2010). ...
Article
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It is a long-held belief in psychology and beyond that individuals’ music preferences reveal information about their personality traits. While initial evidence relates self-reported preferences for broad musical styles to the Big Five dimensions, little is known about day-to-day music listening behavior and the intrinsic attributes of melodies and lyrics that reflect these individual differences. The present study (N = 330) proposes a personality computing approach to fill these gaps with new insights from ecologically valid music listening records from smartphones. We quantified participants’ music preferences via audio and lyrics characteristics of their played songs through technical audio features from Spotify and textual attributes obtained via natural language processing. Using linear elastic net and non-linear random forest models, these behavioral variables served to predict Big Five personality on domain and facet levels. Out-of-sample prediction performances revealed that – on the domain level – Openness was most strongly related to music listening (r = .25), followed by Conscientiousness (r = .13), while several facets of the Big Five also showed small to medium effects. Hinting at the incremental value of audio and lyrics characteristics, both musical components were differentially informative for models predicting Openness and its facets, whereas lyrics preferences played the more important role for predictions of Conscientiousness dimensions. In doing so, the models’ most predictive variables displayed generally trait-congruent relationships between personality and music preferences. These findings contribute to the development of a cumulative theory on music listening in personality science and may be extended in numerous ways by future work leveraging the computational framework proposed here.
... Further, musical pieces in minor mode and slow tempo, hence with a sad connotation, tend to be more appreciated among listeners with high introversion and empathy, and low emotional stability (Ladinig & Schellenberg, 2012;Taruffi et al., 2017). In addition, high neuroticism levels are associated with stronger sad feelings in response to music and larger use of music to regulate mood and emotions (Chamorro-Premuzic et al., 2010;Ladinig & Schellenberg, 2012). Considering that neuroticism predicts both depression and anxiety disorders (Zinbarg et al., 2016), these results suggest that emotional distress might affect the preference and perception of major-minor modes. ...
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Since ancient Greece, major and minor modes in Western tonal music have been identified as the primary responsible musical feature for eliciting emotional states. As such, the underlying correlates of the major-minor mode dichotomy in music perception have been extensively investigated through decades of psychological and neuroscientific research, providing plentiful yet often discordant results. Specifically, crucial questions remain about the several factors contributing to the affective perception of major and minor modes, at times very different among individuals. Moreover, major and minor mode perception has never been quantitatively compared in literature. This comprehensive systematic review and meta-analysis aimed to provide a qualitative and quantitative synthesis of musical mode perception and its behavioural and neural correlates. The qualitative synthesis resulted in 69 studies, showing great diversity in how the major-minor dichotomy has been empirically approached. Most studies reviewed were conducted on adults, considered participants’ expertise, employed real-life musical stimuli, performed behavioural evaluations, and were carried out among Western listeners. Behavioural, electroencephalography, and neuroimaging meta-analyses (36 studies) consistently showed that major and minor mode elicit distinct neural and emotional responses. Based on our findings, a framework to describe a Major-Minor Mode(l) of music perception and its behavioural and physiological correlates is proposed, incorporating individual factors such as age, expertise, cultural background, and emotional disorders. Limitations, implications, and suggestions for future research are discussed, including putative clinical applications of major-minor dichotomy and best practices regarding stimulation paradigms for musical mode investigation. Public Significance Statement This study provides qualitative and quantitative evidence of the distinct behavioral and neural responses elicited by major and minor mode, while also highlighting the influence of factors such as age, culture, personality, and health. Results offers a detailed overview of the major-minor dichotomy in music, putting forward an integrated and critical discussion of methodologies, paradigms, and clinical implications of this pivotal musical feature.
... Peever, Johnson, and Gardner discovered another trait, extraversion, closely related to those who enjoyed the music genre [27,32]. Highly extroverted people are social, outgoing, and energetic, and they require higher levels of social interaction and movement, which is why they are more attracted to music games [34][35][36]. ...
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Gaming has vastly developed into numerous genres; nonetheless, most studies in the literature emphasize the violent genre only. Therefore, this study was conducted to investigate the relationship between personality and gaming preferences among school students. This study also aims to investigate the difference in the time spent on gaming based on gender. The third objective involves examining the differences in frequency in playing a video game based on age. The sample group comprised 420 school students aged between 12 and 17 years old, including hardcore and casual gamers. The online survey was conducted using Google Forms, and the participants were requested to answer the demographic questionnaire, Big Five Inventory, and Gaming Preferences Questionnaire. The obtained data were analyzed using SPSS 26.0 software for general descriptive statistics. The results show that there was a significant relationship between gaming preferences role-playing game (RPG), combat, online, and music genres) and personality (extraversion, agreeableness, conscientious, neuroticism, and openness). The results also indicate a difference between gender and the number of hours spent on gaming, but no such difference existed between age and the frequency of playing games. From the psychological perspective, gaming preference is related to their personality and influences the behavior of children and overall health in daily life.
... Based on previous studies, musical preferences were found to be influenced by the personality traits they possess. Creative, open-minded, and unconventional (openness) individuals were having novel and sophisticated musical preferences; extraverted and agreeable people preferred traditional and upbeat music whereas conscientious and neurotic individuals were likely to hear rebellious and intense music (Chamorro-Premuzic, 2010;Dunn, 2012;Langmeyer, 2012). Neurotic individuals used music for managing emotions whereas conscientious people were not able to do so; openness to experience prevised cognitive music use, music is employed by extraverted individuals to avoid distraction or as background (Chamorro-Premuzic et al., 2009). ...
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Musical capacity is the ability of an individual to recognize and understand different emotions conveyed through music. A previous study showed that different cognitive and physiological changes were elicited while listening to music. Individuals may rely on music in order to regulate their emotions. The prime focus of this study was to examine the association between factors peculiar to musical capacity and Big Five personality traits. All 110 participants were selected using a convenience sampling method. Ten-Item Personality Inventory (TIPI) and a module from MUSEBAQ were used to measure personality traits and musical capacity respectively. The data collected using Google Forms was analysed based on a correlational research design. Big Five personality traits included extraversion, agreeableness, conscientiousness, emotional stability and openness to experience. Listening sophistication, emotional sensitivity, music memory and imagery, personal commitment and indifference to music were the factors of musical capacity. Listening sophistication was discovered to have a strong correlation with the five robust factors of personality. All the factors of musical capacity were found to have a significant correlation with the openness to experience trait of personality. Indifference to music was found to be significantly correlated with conscientiousness. More studies have to be conducted including a larger sample size covering a diverse population. Since this is the first study to link musical capacity with personality traits, a new avenue for understanding personality traits based on how people listen and respond to musical stimuli was explored.
... Openness to experience as measured via the BFI is a composite of multiple dimensions [60], several of which have been associated with characteristics which could be linked to preferences for higher levels of musical complexity, such as 'aesthetic sensitivity', 'preference for variety', 'intellectual curiosity' and 'challenging authority'. This is supported by previous studies showing associations between openness to experience and listeners' preference for complex music in general [61] and changes in the shape of the inverted U in response to familiar music [34]. Musicians tend to score higher on openness to experience [31,32,[62][63][64], although this overall difference compared to non-musicians was not found in the present study. ...
Article
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The inverted U hypothesis in music predicts that listeners prefer intermediate levels of complexity. However, the shape of the liking response to harmonic complexity and the effect of musicianship remains unclear. Here, we tested whether the relationship between liking and harmonic complexity in single chords shows an inverted U shape and whether this U shape is different for musicians and non-musicians. We recorded these groups' liking ratings for four levels of harmonic complexity, indexed by their level of acoustic roughness, as well as several measures of inter-individual difference. Results showed that there is an inverted U-shaped relationship between harmonic complexity and liking in both musicians and non-musicians, but that the shape of the U is different for the two groups. Non-musicians' U is more left-skewed, with peak liking for low harmonic complexity, while musicians' U is more right-skewed, with highest ratings for medium and low complexity. Furthermore, musicians who showed greater liking for medium compared to low complexity chords reported higher levels of active musical engagement and higher levels of openness to experience. This suggests that a combination of practical musical experience and personality is reflected in musicians' inverted U-shaped preference response to harmonic complexity in chords.
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