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Head Movement Synchrony and Idea Generation Interference – Investigating Background Music Effects on Group Creativity

Sarinasadat Hosseini, Xiaoqi Deng, Yoshihiro Miyake, Takayuki Nozawa
2019 Frontiers in Psychology  
Here to describe the effectiveness of BGM on group creativity, we hypothesized and suggested different mechanisms that genre and valence attributes of BGM would lead to extraordinary creativity.  ...  Upbeat positive music may decrease judgmental behavior during creative group tasks and inspire participants to share divergent perspectives.  ...  insight into how BGM influences group creativity.  ... 
doi:10.3389/fpsyg.2019.02577 pmid:31803115 pmcid:PMC6873777 fatcat:uti72egjijh2vosfz25jaglgky

Fuguegenerator - Collaborative Melody Composition Based On A Generative Approach For Conveying Emotion In Music

Niklas Klügel, Gerhard Hagerer, Georg Groh
2014 Proceedings of the SMC Conferences  
The related phenomenon of Group Flow [2, p. 158] is beneficial for social creativity, it is a motivator and means for the group to innovate in a creative task.  ...  The influence of valence on musical properties A further implementation aspect in this context is rhythmical complexity which is related to arousal and high valence [14] .  ... 
doi:10.5281/zenodo.850763 fatcat:l56lmmqovfgejbg2igx4xs6nxa

Developing a benchmark for emotional analysis of music

Anna Aljanaki, Yi-Hsuan Yang, Mohammad Soleymani, Christos Papadelis
2017 PLoS ONE  
The data set that we release, a MediaEval Database for Emotional Analysis in Music (DEAM), is the largest available data set of dynamic annotations (valence and arousal annotations for 1,802 songs and  ...  song excerpts licensed under Creative Commons with 2Hz time resolution).  ...  We also thank the task participants and the anonymous Turkers, without whom the benchmark would not happen.  ... 
doi:10.1371/journal.pone.0173392 pmid:28282400 pmcid:PMC5345802 fatcat:3wxbc6xlwfgwrlizjwg3bia2iu

Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering

Yi-Kun Zhao, Guo-Qing Wang, Xiao-Xiao Zhan, Peng-Hui Yang, Huihua Chen
2021 Complexity  
Thirdly, the influence and similarity of the same music genre and different music genres are analyzed by using the two-way cluster analysis method.  ...  Secondly, the multiobjective logistic regression is used to construct the music similarity measurement model and, combined with music influence and music similarity, to judge whether the influence of different  ...  Naser and Saha [1] analyzed the influence of music on emotion and creativity by establishing an egg model. Banerjee et al.  ... 
doi:10.1155/2021/2996750 fatcat:6rnxyyf4x5bircs7t47sbdfgze

Robin: An Algorithmic Composer For Interactive Scenarios

Fabio Morreale, Raul Masu, Antonella De Angeli
2013 Proceedings of the SMC Conferences  
Mapping music into valence and arousal A general consensus suggests that mode and rhythm determine valence, while tempo and dynamics are determine arousal [9] .  ...  Criticism was mostly aimed at the latency of the system response to user movements and at the lack of musical genres.  ... 
doi:10.5281/zenodo.850374 fatcat:tecb2x36qncahitbfjumxmzmlu

Does "Passing the Courvoisier" always pay off? Positive and negative evaluative conditioning effects of brand placements in music videos

Christian Schemer, Jörg Matthes, Werner Wirth, Samuel Textor
2008 Psychology & Marketing  
Further analyses demonstrate that conditioning effects are even stronger when preference for rap music is high and recognition of the brand rather low.  ...  Further analyses demonstrate that conditioning effects are even stronger when preference for rap music is high and recognition of the brand rather low.  ...  In the case of rap music videos, the postulated relationship between US valence and the presence of placements may be qualified by the general liking of the genre.  ... 
doi:10.1002/mar.20246 fatcat:344tyanfmzan7au5lzgcn26gau

Research on the Influence of Music

Liu Zeyu, Yu Rui, Zhang Chenggong
2021 Studies in Social Science Research  
The comprehensive analysis concludes that the difference between genres is mainly reflected by the six features of valence, tempo, mode, key, acousticness, and instrumentalness, and this result is verified  ...  By plotting the percentage of influence as well as the change of musical characteristics, it was concluded that the influence of genres changes over time; some musical characteristics in genres also change  ...  , valence and acousticness are greater than those of other genres; however, its song duration and instrumentation values are much lower than those of other genres.  ... 
doi:10.22158/sssr.v2n3p61 fatcat:2vyjjgrxxjhjvnbhiy2ls6w6om

Tag2Risk: Harnessing social music tags for characterizing depression risk

Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi H Saarikallio, Vinoo Alluri
2020 Zenodo  
Social tags associated with each listener's most popular tracks were analyzed to unearth the mood/emotions and genres associated with the users.  ...  Mental-well being scores, musical engagement measures, and listening histories of Last.fm users (N=541) were acquired.  ...  On the other hand, music listening history of the No-Risk group was characterized by an inclination to listen to music tagged by positive valence and higher arousal as characterized by Wonder with a predilection  ... 
doi:10.5281/zenodo.4245450 fatcat:lkhksbz6ebb6dpl56fnxqffmuq

Emotion Modulation through Music after Sadness Induction—The Iso Principle in a Controlled Experimental Study

Katrin Starcke, Johanna Mayr, Richard von Georgi
2021 International Journal of Environmental Research and Public Health  
The group of participants who listened to the sad music first and the happy music afterwards ultimately reported a higher positive affect, a higher emotional valence, and a lower negative affect compared  ...  However, not all the between-group differences reached significance. We conclude that the sequence of music with different emotional valence affects the current emotional state.  ...  genres such as rock, heavy metal, and alternative; category three "upbeat and conventional" includes genres such as country, pop, and religious music; and category four "energetic and rhythmic" includes  ... 
doi:10.3390/ijerph182312486 pmid:34886210 pmcid:PMC8656869 fatcat:odzaxewpozhu5b6wr2uifprfvy

Affective and Cognitive Responses to Musical Performances of Early 20th Century Classical Solo Piano Compositions

Mary C. Broughton, Jessie Dimmick, Roger T. Dean
2021 Music Perception  
We investigate the influence of observers' musical expertise and instrumental motor expertise on their affective and cognitive responses to complex and unfamiliar classical piano performances of works  ...  Contrary to our hypotheses: visual information had only a slight effect on observers' arousal felt affect responses and none on valence; musicians' specific instrumental motor expertise did not influence  ...  Note: Summary of frequency of genre liking by each music preference dimension and expertise group for scores on the STOMP-R.  ... 
doi:10.1525/mp.2021.38.3.245 fatcat:4nl4ncjnlna55cnalobdisnuoq

Tag2Risk: Harnessing Social Music Tags for Characterizing Depression Risk [article]

Aayush Surana, Yash Goyal, Manish Shrivastava, Suvi Saarikallio, Vinoo Alluri
2020 arXiv   pre-print
Social tags associated with each listener's most popular tracks were analyzed to unearth the mood/emotions and genres associated with the users.  ...  Mental well-being scores, musical engagement measures, and listening histories of Last.fm users (N=541) were acquired.  ...  On the other hand, music listening history of the No-Risk group was characterized by an inclination to listen to music tagged by positive valence and higher arousal as characterized by Wonder with a predilection  ... 
arXiv:2007.13159v1 fatcat:t2sjkmttmverpbi4tzl4kd4z2m

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities [article]

Shreyan Chowdhury, Verena Praher, Gerhard Widmer
2021 arXiv   pre-print
Owing to factors like the subjective nature of the task and the variation of emotional cues between musical genres, there are still significant challenges in developing reliable and generalizable models  ...  Music emotion recognition is an important task in MIR (Music Information Retrieval) research.  ...  Acknowledgments This work is supported by the European Research Council (ERC) under the EU's Horizon 2020 research & innovation programme under grant agreement No. 670035 ("Con Espressione"), and the Federal  ... 
arXiv:2106.07787v2 fatcat:ano35k2btrht7dlws4reem7sn4

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Shreyan Chowdhury, Verena Praher, Gerhard Widmer
2021 Zenodo  
Owing to factors like the subjective nature of the task and the variation of emotional cues between musical genres, there are still significant challenges in developing reliable and generalizable models  ...  Music emotion recognition is an important task in MIR (Music Information Retrieval) research.  ...  For instance, machine-learningbased music recommender systems have been shown to exhibit severe biases towards or against certain user groups [3] .  ... 
doi:10.5281/zenodo.5045121 fatcat:ce3eu2qiz5ei3hhkwvd34cmfoy

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation [article]

Hsiao-Tzu Hung and Joann Ching and Seungheon Doh and Nabin Kim and Juhan Nam and Yi-Hsuan Yang
2021 arXiv   pre-print
Moreover, we prototype use cases on clip-level music emotion classification and emotion-based symbolic music generation by training and evaluating corresponding models using the dataset.  ...  The dataset contains 1,087 music clips from 387 songs and clip-level emotion labels annotated by four dedicated annotators.  ...  In the high valence group (Q1, Q4), the distribution is skewed to the left (major), while, in the low valence group (Q2, Q3), the trend is the opposite.  ... 
arXiv:2108.01374v1 fatcat:h3pmadqxb5brzbxb6llqqpgliq

Music Influence Modeling Based on Directed Network Model [article]

Xuan Zhang, Tingdi Ren, Lihong Wang, Haiyong Xu
2022 arXiv   pre-print
Studying the history of music may provide a glimpse into the development of human creativity as we examine the evolutionary and revolutionary trends in music and genres.  ...  Second, we examined the revolutions and development of musical genres, modeled the similarity, and explored similarities and influences within and between genres.  ...  Acknowledgments We would like to acknowledge the assistance of volunteers in putting together this example manuscript and supplement.  ... 
arXiv:2204.03588v1 fatcat:u5vposoiuzdw5ceykqxnu577ce
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