Journal articles: 'Music and mood'

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Dolan, J. D. "Mood Music." Antioch Review 53, no. 1 (1995): 78. http://dx.doi.org/10.2307/4613085.

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Moon, Chang Bae, HyunSoo Kim, Dong Won Lee, and Byeong Man Kim. "Mood lighting system reflecting music mood." Color Research & Application 40, no. 2 (December 11, 2013): 201–12. http://dx.doi.org/10.1002/col.21864.

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Garvey, Debbie. "Making mood music." 5 to 7 Educator 2009, no. 57 (September 2009): xviii—xix. http://dx.doi.org/10.12968/ftse.2009.8.9.44061.

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Mali, A. S., A. A. Kenjale, P. M. Ghatage, and A. G. Deshpande. "Mood based Music System." International Journal of Scientific Research in Computer Science and Engineering 6, no. 3 (June 30, 2018): 27–30. http://dx.doi.org/10.26438/ijsrcse/v6i3.2730.

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II, Gordon C. Bruner. "Music, Mood, and Marketing." Journal of Marketing 54, no. 4 (October 1990): 94. http://dx.doi.org/10.2307/1251762.

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Yadav, Satyapal, and Akash Saxena. "Music Based Mood Classification." International Journal of Computer Trends and Technology 48, no. 3 (June 25, 2017): 139–47. http://dx.doi.org/10.14445/22312803/ijctt-v48p127.

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Bruner, Gordon C. "Music, Mood, and Marketing." Journal of Marketing 54, no. 4 (October 1990): 94–104. http://dx.doi.org/10.1177/002224299005400408.

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Jun, Sanghoon, Seungmin Rho, and Eenjun Hwang. "Music Retrieval and Recommendation Scheme Based on Varying Mood Sequences." International Journal on Semantic Web and Information Systems 6, no. 2 (April 2010): 1–16. http://dx.doi.org/10.4018/jswis.2010040101.

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A typical music clip consists of one or more segments with different moods and such mood information could be a crucial clue for determining the similarity between music clips. One representative mood has been selected for music clip for retrieval, recommendation or classification purposes, which often gives unsatisfactory result. In this paper, the authors propose a new music retrieval and recommendation scheme based on the mood sequence of music clips. The authors first divide each music clip into segments through beat structure analysis, then, apply the k-medoids clustering algorithm for grouping all the segments into clusters with similar features. By assigning a unique mood symbol for each cluster, one can transform each music clip into a musical mood sequence. For music retrieval, the authors use the Smith-Waterman (SW) algorithm to measure the similarity between mood sequences. However, for music recommendation, user preferences are retrieved from a recent music playlist or user interaction through the interface, which generates a music recommendation list based on the mood sequence similarity. The authors demonstrate that the proposed scheme achieves excellent performance in terms of retrieval accuracy and user satisfaction in music recommendation.

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Yang, Zhong Liang, Yu Miao Chen, and Rui Min Lyu. "A Comparative Study on Driving Performance Induced by Music Mood for Development of In-Vehicle Media Players." Applied Mechanics and Materials 494-495 (February 2014): 108–11. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.108.

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Though music listening while driving is a popular activity, it is not clear the effects of music mood induction on driving performance in different road conditions. In this study, four music samples with strongest mood features were selected by simplified Delphi method. Then driving performance in two road conditions induced by five music moods were investigated by comparative experiments. Results of ANOVA preliminarily demonstrated the significant differences between driving performance induced by various music mood in different road conditions. Furthermore, a mobile music player was developed and installed in two intelligence assist vehicles to validate its usability in the practice.

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Xu, Xin, Hui Guan, Zhen Liu, and Bo Jun Wang. "EEG-Based Music Mood Analysis and Applications." Advanced Materials Research 712-715 (June 2013): 2726–30. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2726.

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Music is known to be a powerful elicitor of emotions. Music with different moods induces various emotions, each of which corresponding to certain pattern of EEG signals. In this paper, based on current music mood categories, we discuss how the music belonging to different mood types affect the pattern EEG activity. We review several literatures verifying that certain characteristics of EEG differ from each other induced by different types of music. Such differences make it possible for emotion recognition through EEG signals. We also introduce some applications of emotional music such as improvement of human emotions and adjuvant treatment of diseases.

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Sleigh, Merry J., and Jordan McElroy. "The Effect of Music Listening Versus Written Reframing on Mood Management." Music Perception 31, no. 4 (December 2012): 303–15. http://dx.doi.org/10.1525/mp.2014.31.4.303.

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We compared the influence of music listening versus written reframing on mood regulation. Participants (n = 197) were randomly allocated to one of four conditions. A written, self-reflection exercise primed participants to be in either a positive or negative mood, which was assessed with the Multidimensional Mood State Questionnaire (MDMQ, 2011; Steyer, Schwenkmeger, Notz, & Eid, 1997). Half of the participants in the positive prime condition then selected and listened to music opposite of the induced mood. The other half engaged in a written reframing exercise, in which they revisited the event in their original writings but did so by reflecting on the event from the opposite emotional perspective. This process was repeated for participants in the negative prime condition. The MDMQ was used again to assess mood. Results revealed that music and writing changed both men and women’s moods from positive to negative or from negative to positive. Music exerted a more powerful influence than writing and exerted a stronger influence on women than men, especially when lifting participants from a negative mood to a positive mood. Our results also indicated that participants were aware of their mood changes.

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Hu, Xiao, Christy W. L. Cheong, Siwei Zhang, and J. Stephen Downie. "Mood metadata on Chinese music websites: an exploratory study with user feedback." Online Information Review 42, no. 6 (October 8, 2018): 864–79. http://dx.doi.org/10.1108/oir-01-2017-0023.

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Purpose Music mood is an important metadata type on online music repositories and stream music services worldwide. Many existing studies on mood metadata have focused on music websites and services in the Western world to the exclusion of those serving users in other cultures. The purpose of this paper is to bridge this gap by exploring mood labels on influential Chinese music websites. Design/methodology/approach Mood labels and the associated song titles were collected from six Chinese music websites, and analyzed in relation to mood models and findings in the literature. An online music listening test was conducted to solicit users’ feedback on the mood labels on two popular Chinese music websites. Mood label selections on 30 songs from 64 Chinese listeners were collected and compared to those given by the two websites. Findings Mood labels, although extensively employed on Chinese music websites, may be insufficient in meeting listeners’ needs. More mood labels of high arousal semantics are needed. Song languages and user familiarity to the songs show influence on users’ selection of mood labels given by the websites. Practical implications Suggestions are proposed for future development of mood metadata and mood-enabled user interfaces in the context of global online music access. Originality/value This paper provides insights on understanding the mood metadata on Chinese music websites and uniquely contributes to existing knowledge of culturally diversified music access.

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Hu, Xiao, and Jin Ha Lee. "Towards global music digital libraries." Journal of Documentation 72, no. 5 (September 12, 2016): 858–77. http://dx.doi.org/10.1108/jd-01-2016-0005.

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Purpose The purpose of this paper is to compare music mood perceptions of people with diverse cultural backgrounds when they interact with Chinese music. It also discusses how the results can inform the design of global music digital libraries (MDL). Design/methodology/approach An online survey was designed based on the Music Information Retrieval Evaluation eXchange (MIREX) five-cluster mood model, to solicit mood perceptions of listeners in Hong Kong and the USA on a diverse set of Chinese music. Statistical analysis was applied to compare responses from the two user groups, with consideration of different music types and characteristics of listeners. Listeners’ textual responses were also analyzed with content coding. Findings Listeners from the two cultural groups made different mood judgments on all but one type of Chinese music. Hong Kong listeners reached higher levels of agreement on mood judgments than their US counterparts. Gender, age and familiarity with the songs were related to listeners’ mood judgment to some extent. Practical implications The MIREX five-cluster model may not be sufficient for representing the mood of Chinese music. Refinements are suggested. MDL are recommended to differentiate tags given by users from different cultural groups, and to differentiate music types when classifying or recommending Chinese music by mood. Originality/value It is the first study on cross-cultural access to Chinese music in MDL. Methods and the refined mood model can be applied to cross-cultural access to other music types and information objects.

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Västfjäll, Daniel. "Emotion induction through music: A review of the musical mood induction procedure." Musicae Scientiae 5, no. 1_suppl (September 2001): 173–211. http://dx.doi.org/10.1177/10298649020050s107.

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This article reviews research showing that music can alter peoples’ moods and emotions. The so called “musical mood induction procedure” (MMIP) relies on music to produce changes in experienced affective processes. The fact that music can have this effect on subjective experience has been utilized to study the effect of mood on cognitive processes and behavior by a large number of researchers in social, clinical, and personality psychology. This extensive body of literature, while little known among music psychologists, is likely to further help music psychologists understand affective responses to music. With this in mind, the present article aims at providing an extensive review of the methodology behind a number of studies using the MMIP. The effectiveness of music as a mood-inducing stimulus is discussed in terms of self-reports, physiological, and behavioral indices. The discussion focuses on how findings from the MMIP literature may extend into current research and debate on the complex interplay of music and emotional responses.

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Lee, Jong-In, Dong-Gyu Yeo, and Byeong-Man Kim. "Detection of Music Mood for Context-aware Music Recommendation." KIPS Transactions:PartB 17B, no. 4 (August 31, 2010): 263–74. http://dx.doi.org/10.3745/kipsta.2010.17b.4.263.

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Kenealy, Pamela M. "Mood State-Dependent Retrieval: The Effects of Induced Mood on Memory Reconsidered." Quarterly Journal of Experimental Psychology Section A 50, no. 2 (May 1997): 290–317. http://dx.doi.org/10.1080/713755711.

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Analysis of studies investigating mood-state-dependent retrieval identifies methodological problems that may have contributed to the controversy surrounding the reliability of the effect—in particular, the possible confounding of encoding and retrieval in previous studies. Five experiments are reported investigating the effects of mood on learning and recall. Mood-state-dependent retrieval was observed in Experiment 1a (using Velten's Mood Induction Procedure); Experiment 1b (using a music MIP); and Experiment 1c (using Velten's MIP at encoding and a music MIP at retrieval). Subjects who learned and recalled in different moods had significantly greater decrements in recall than did subjects in the same moods. Experiments 2 and 3 investigated the effect of observable retrieval cues on mood state-dependent retrieval. In Experiment 2, the presence of observable retrieval cues at recall overrode state-dependent retrieval. In Experiment 3, by manipulating the presence or absence of observable cues at recall, both the occurrence and the erasure of the mood-state dependency was demonstrated. Moodstate during learning and cued recall was also shown to affect performance in a third session under conditons of free recall.

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Plewa, Magdalena, and Bożena Kostek. "Music Mood Visualization Using Self-Organizing Maps." Archives of Acoustics 40, no. 4 (December 1, 2015): 513–25. http://dx.doi.org/10.1515/aoa-2015-0051.

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Abstract Due to an increasing amount of music being made available in digital form in the Internet, an automatic organization of music is sought. The paper presents an approach to graphical representation of mood of songs based on Self-Organizing Maps. Parameters describing mood of music are proposed and calculated and then analyzed employing correlation with mood dimensions based on the Multidimensional Scaling. A map is created in which music excerpts with similar mood are organized next to each other on the two-dimensional display.

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Carter, Frances A., Jenny S. Wilson, Rachel H. Lawson, and Cynthia M. Bulik. "Mood Induction Procedure: Importance of Individualising Music." Behaviour Change 12, no. 3 (September 1995): 159–61. http://dx.doi.org/10.1017/s0813483900006021.

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Studies examining the musical mood induction procedure (MMIP) currently typically involve the experimenter preselecting a piece of music for use with all subjects. This assumes that the same piece of music will be equally effective at eliciting low mood for all subjects. The validity of this assumption was evaluated among 12 bulimic and 12 control women. Subjects listened to seven preselected pieces of music and rated them according to how likely it would be that the piece of music would help them to lower their mood / feel sad. Analysis showed that subjects were highly individual in their responses, and that it could not be assumed that the same piece of music would be equally effective at eliciting low mood across subjects.

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R., Abhishek, Anusha Vollal, Pradnyesh B., Shikha Yadav, and Rahul M. "MoodyPlayer: A Mood based Music Player." International Journal of Computer Applications 141, no. 4 (May 17, 2016): 21–25. http://dx.doi.org/10.5120/ijca2016909598.

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Hu, Xiao. "Categorizing music mood in social context." Proceedings of the American Society for Information Science and Technology 46, no. 1 (2009): 1–6. http://dx.doi.org/10.1002/meet.2009.1450460348.

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Chapaneri, Santosh, and Deepak Jayaswal. "Structured Gaussian Process Regression of Music Mood." Fundamenta Informaticae 176, no. 2 (December 18, 2020): 183–203. http://dx.doi.org/10.3233/fi-2020-1970.

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Modeling the music mood has wide applications in music categorization, retrieval, and recommendation systems; however, it is challenging to computationally model the affective content of music due to its subjective nature. In this work, a structured regression framework is proposed to model the valence and arousal mood dimensions of music using a single regression model at a linear computational cost. To tackle the subjectivity phenomena, a confidence-interval based estimated consensus is computed by modeling the behavior of various annotators (e.g. biased, adversarial) and is shown to perform better than using the average annotation values. For a compact feature representation of music clips, variational Bayesian inference is used to learn the Gaussian mixture model representation of acoustic features and chord-related features are used to improve the valence estimation by probing the chord progressions between chroma frames. The dimensionality of features is further reduced using an adaptive version of kernel PCA. Using an efficient implementation of twin Gaussian process for structured regression, the proposed work achieves a significant improvement in R2 for arousal and valence dimensions relative to state-of-the-art techniques on two benchmark datasets for music mood estimation.

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Marti-Marca, Angela, Tram Nguyen, and Jessica A. Grahn. "Keep Calm and Pump Up the Jams: How Musical Mood and Arousal Affect Visual Attention." Music & Science 3 (January 1, 2020): 205920432092273. http://dx.doi.org/10.1177/2059204320922737.

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Music is a prevalent part of everyday life and there has been a great deal of interest in the possibility that music facilitates cognition, including memory. Listening to background music has a modulatory effect on internal mood and arousal states, putting the listeners at the optimal levels necessary to enhance memory performance. However, there has been little research on how music-induced mood and arousal influence other aspects of cognition, in particular attention. The aim of the current study was to examine the effect of background music on visual attention. Participants rated an assortment of music clips on mood and arousal levels. The clips that participants rated most positive or negative in mood and highest or lowest in arousal were used during an adaptation of the Posner cueing task ( Posner, 1980 ). This visual attention task was either performed in silence or while listening to background music. A significant interaction between mood and arousal was observed. Participants were fastest when listening to high arousal positive music and slowest when listening to high arousal negative music. Intermediate performance occurred for low arousal negative and low arousal positive music. Thus, changes in music-induced mood and arousal can indeed alter reaction times, with opposite effects observed for high arousal music based on whether it is perceived as positive or negative in mood. However, there is no evidence that musical mood and arousal affect attention because mood and arousal levels do not alter the effect of congruency on either reaction times or accuracy. Thus, although reaction times are faster in the presence of high arousal positive music, this appears unrelated to effects on attention.

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Smith, Peter H. "Schumann's A-minor Mood." Journal of Music Theory 60, no. 1 (April 2016): 51–88. http://dx.doi.org/10.1215/00222909-3448755.

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Sousou, Shaden Denise. "Effects of Melody and Lyrics on Mood and Memory." Perceptual and Motor Skills 85, no. 1 (August 1997): 31–40. http://dx.doi.org/10.2466/pms.1997.85.1.31.

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137 undergraduate Le Moyne College students volunteered in a study on music and its effects on mood and memory. In a 2 × 3 between-subjects design, there were 2 lyric conditions (Happy and Sad Lyrics) and 3 music conditions (No Music, Happy Music, and Sad Music). Participants were asked to listen to instrumental music or mentally to create a melody as they read lyrics to themselves. The study tested cued-recall, self-reported mood state, and psychological arousal. Analysis suggested that mood of participants was influenced by the music played, not the lyrics. Results also showed those exposed to No Music had the highest score on the recall test. Personal relevance to the lyrics was not correlated with memory.

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van den Tol, Annemieke J. M., Helen Coulthard, and Waldie E. Hanser. "Music listening as a potential aid in reducing emotional eating: An exploratory study." Musicae Scientiae 24, no. 1 (June 6, 2018): 78–95. http://dx.doi.org/10.1177/1029864918780186.

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Emotional Eating (EE) is understood as a maladaptive self-regulation strategy to satisfy emotional needs instead of hunger. Consequently, EE has been associated with negative health consequences. Enjoyment of food and music share similar neural activations in the brain and are both used by people for regulating affect. This suggests that music listening could potentially be a healthier alternative to EE. The present study was designed to investigate associations between EE, disordered mood, and music-related mood regulation. A total of 571 participants completed measures of EE, music listening strategies, and disordered mood. Associations between seven different music listening strategies and EE were examined, and also whether these regulation strategies were associated with depression, anxiety, and stress. Finally, we explored associations between music listening and EE in people with low and high (non-clinical) levels of disordered mood (depression, anxiety, and stress). The findings of this research indicated that music listening for discharge (releasing anger or sadness through music that expresses these same emotions) and EE were positively associated with one another. In addition, EE and the music listening strategies of entertainment, diversion or mental work were associated in people with low levels of disordered mood. When disordered mood was high, EE was higher, but was not associated with music listening strategies. These associations point towards the possibility of some music listening strategies being useful as healthier alternatives for EE.

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Govern, John M., and Lisa A. Marsch. "Inducing Positive Mood without Demand Characteristics." Psychological Reports 81, no. 3 (December 1997): 1027–34. http://dx.doi.org/10.2466/pr0.1997.81.3.1027.

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The possibility that a state of private self-awareness induced by a small mirror can facilitate the effect of procedures which induce a positive mood was investigated. Participants were 171 female and 60 male undergraduates who were randomly assigned to one of six conditions in a 2 (Mirror vs No-mirror) × 3 (Control vs Velten manipulation vs Music manipulation) design. As predicted, participants who experienced the Velten and Music manipulations in the presence of the mirror reported elevated mood relative to control participants. The mood of participants who experienced the Velten and Music manipulations without the mirror did not differ from the mood of control participants. The potential benefits of using a small mirror as a substitute for explicit instructions about the expected effect of mood-induction procedures are discussed.

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Eskine, Katherine E., Ashanti E. Anderson, Madeline Sullivan, and Edward J. Golob. "Effects of music listening on creative cognition and semantic memory retrieval." Psychology of Music 48, no. 4 (November 25, 2018): 513–28. http://dx.doi.org/10.1177/0305735618810792.

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Listening to music can affect cognitive abilities and may impact creative cognition. This effect is believed to be caused by music’s impact on arousal and mood. However, this causal relationship has been understudied. Furthermore, the strength of semantic knowledge associations has also been linked to creativity and provides an alternative hypothesis for increases in creative cognition. The relationship between music, mood, semantic knowledge, and creative cognition is not well understood. The present study consisted of two experiments. The first examined the relationship between music listening and creative cognition, the second additionally sought to examine whether the effect of music on semantic memory and/or mood are mechanisms that promote creative cognition. In the first experiment, participants completed 15 items of the Remote Associates Test of Creativity after listening to hip-hop music, classical music, and babble. In addition to replicating the first experiment, the second also measured mood and semantic memory. In both experiments participants displayed greater creativity after listening to music. Semantic memory retrieval was enhanced after listening to music, but creative cognition and semantic memory were not significantly correlated with mood. The findings show parallel, positive effects on creative cognition, semantic retrieval, and mood when subjects listen to music.

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Chen, Lei, Shuhua Zhou, and Jennings Bryant. "Temporal Changes in Mood Repair Through Music Consumption: Effects of Mood, Mood Salience, and Individual Differences." Media Psychology 9, no. 3 (May 15, 2007): 695–713. http://dx.doi.org/10.1080/15213260701283293.

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Saarikallio, Suvi H. "Music in Mood Regulation: Initial Scale Development." Musicae Scientiae 12, no. 2 (July 2008): 291–309. http://dx.doi.org/10.1177/102986490801200206.

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Ueno, Masato. "Effects of music listening on mood change." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (September 11, 2012): 2PMA40. http://dx.doi.org/10.4992/pacjpa.76.0_2pma40.

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Alpert, Judy I., and Mark I. Alpert. "Music influences on mood and purchase intentions." Psychology and Marketing 7, no. 2 (1990): 109–33. http://dx.doi.org/10.1002/mar.4220070204.

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van der Zwaag, Marjolein D., Joris H. Janssen, Clifford Nass, Joyce H. D. M. Westerink, Shrestha Chowdhury, and Dick de Waard. "Using music to change mood while driving." Ergonomics 56, no. 10 (September 2, 2013): 1504–14. http://dx.doi.org/10.1080/00140139.2013.825013.

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Ratcliff, Chelsea G., Sarah Prinsloo, Michael Richardson, Laura Baynham-Fletcher, Richard Lee, Alejandro Chaoul, Marlene Z. Cohen, Marcos de Lima, and Lorenzo Cohen. "Music Therapy for Patients Who Have Undergone Hematopoietic Stem Cell Transplant." Evidence-Based Complementary and Alternative Medicine 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/742941.

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Objectives. This study examines the short- and long-term QOL benefits of a music therapy intervention for patients recovering from hematopoietic stem cell transplantation (HSCT).Methods. Ninety allogeneic HSCT patients, after transplant, were randomized to receive ISO-principle (i.e., mood matching) based music therapy (MT;n=29), unstructured music (UM;n=30), or usual care (UC;n=31) for four weeks. The ISO principle posits that patients may shift their mood from one state to another by listening to music that is “equal to” the individual’s initial mood state and subsequently listening to music selections that gradually shift in tempo and mood to match the patient’s desired disposition. Participants in MT and UM groups developed two audio CDs to help them feel more relaxed and energized and were instructed to use the CDs to improve their mood as needed. Short-term effects on mood and long-term effects on QOL were examined.Results. MT and UM participants reported improved mood immediately after listening to CDs; the within-group effect was greater for UM participants compared to MT participants. Participant group was not associated with long-term QOL outcomes.Conclusions. Music listening improves mood acutely but was not associated with long-term benefits in this study.

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Schäfer, Katharina, Suvi Saarikallio, and Tuomas Eerola. "Music May Reduce Loneliness and Act as Social Surrogate for a Friend: Evidence from an Experimental Listening Study." Music & Science 3 (January 1, 2020): 205920432093570. http://dx.doi.org/10.1177/2059204320935709.

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After losing a close other, individuals usually confide in an empathic friend to receive comfort and they seem to have a heightened desire for mood-congruent, consoling music. Hence, it has been proposed that affect-congruent music acts as a social surrogate for an empathic friend. Thus, we hypothesized that listening to comforting music, as a response to a social loss experience, provides a sense of empathic company as indicated by reduced loneliness and heightened empathy. We further predicted that distracting music would have a stronger impact on the listeners’ mood in comparison to comforting pieces. To test these assumptions, an experiment with two factors was designed: (1) Sadness was induced by an approved guided imagery method where participants visualized either their father dying (social loss), losing their eyesight (non-social loss), or shopping for groceries (control condition). (2) After the mood induction, the listening task included either comforting or distracting music that participants selected themselves. Psychometric measures for mood and loneliness were collected before and after the mood induction and after the music listening. The data were analyzed with mixed model ANOVAs. The results showed a significant reduction of loneliness and a relevant rise in empathy and mood due to listening to self-selected music, irrespective of the listener’s mood or the applied listening strategy, which suggests that private musical engagement in general can provide mood-repair and a sense of connection. This beneficial effect of private musical engagement supports the notion that not only music production but also its perception engenders social cognition. Overall, the findings corroborate the idea of music as a social surrogate.

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Kawase, Satoshi, and Jun’ichi Ogawa. "Group music lessons for children aged 1–3 improve accompanying parents’ moods." Psychology of Music 48, no. 3 (October 19, 2018): 410–20. http://dx.doi.org/10.1177/0305735618803791.

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This study investigated the improvement in parents’ moods when attending group music lessons targeting their children aged 1–3 years. A questionnaire survey of parents’ moods was conducted under three conditions: immediately before and after the lesson, and on a non-lesson day. Results suggested that group music lessons for children enhanced parents’ positive mood and reduced anxiety. Thus, even peripheral participation in children’s group music lessons can be beneficial for parents. In addition, such mood improvements were more significant in the parents whose everyday state anxiety was high than in parents whose state anxiety was low. Since only few parents answered that their motivation in taking the lesson was to benefit themselves, the results of the study suggest side effects of children’s group music lessons for parents. These imply the potential benefits of musical activities for non-primary targeted participants who are not clearly aware of the positive musical effects for themselves.

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Raglio, Alfredo. "Effects of music and music therapy on mood in neurological patients." World Journal of Psychiatry 5, no. 1 (2015): 68. http://dx.doi.org/10.5498/wjp.v5.i1.68.

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Hayakawa, Yohko, Kayoko Takada, Hiromi Miki, and Kiyoji Tanaka. "Effects of Music on Mood during Bench Stepping Exercise." Perceptual and Motor Skills 90, no. 1 (February 2000): 307–14. http://dx.doi.org/10.2466/pms.2000.90.1.307.

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This study evaluated the effect of music on the mood of women during exercise. 16 middle-aged women, aged 49.9±7.53 yr., performed 60-min. bench stepping exercise while listening to Japanese traditional folk song, aerobic dance music, or nonmusic. The subjects reported significantly Jess fatigue with aerobic dance music and Japanese traditional folk song than with nonmusic. Aerobic dance music was associated with significantly more vigor and less confusion than nonmusic.

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Kuch, Mia, and Clemens Wöllner. "On the Move: Principal Components of the Functions and Experiences of Mobile Music Listening." Music & Science 4 (January 1, 2021): 205920432110328. http://dx.doi.org/10.1177/20592043211032852.

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Mobile music listening is widely recognized as an integral part of everyday music use. It is also a rather peculiar experience, since the listeners are surrounded by strangers in public and at the same time engaged in a solitary and private activity. The current study aimed at investigating the functions and experiences of mobile listening with a quantitative online questionnaire, and collected further information about mobile listening situations and listening habits. Among respondents ( n = 203), 89% reported listening to music while being on the move. We found mood-related and cognitive functions to be most prevalent (e.g., enhancing mood, relaxation, prevention of being bored), whereas least important functions relate to social dimensions (e.g., feeling less lonely, feeling less watched). Regarding experiences of mobile music, respondents most commonly adapted their mood to the music and lost touch with the current surroundings. A principal component analysis on ratings of functions and experiences resulted in an underlying structure of five dimensions, representing different levels of involvement: (1) Mood Management comprises functions to satisfy individual needs; (2) Absorption and Aestheticization encompasses deep listening experiences and altered perception of the surroundings; (3) Social Encapsulation and Self-Focus describe the distancing of oneself and changes in attention; (4) Distraction and Passing Time include the prevention of being bored and making time pass faster; and (5) Auditory Background is defined by a non-attentive and rather unaffected music listening. These results highlight the immersiveness of mobile music listening. By creating an individual soundworld, listeners distance themselves from the surroundings aurally and mentally, and modify their attention, perception, moods, and emotions, leading to an improvement of daily life experiences while moving.

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Grimley, Daniel M. "“In the Mood:” Peer Gynt and the Affective Landscapes of Grieg's Stemninger, op. 73." 19th-Century Music 40, no. 2 (2016): 106–30. http://dx.doi.org/10.1525/ncm.2016.40.2.106.

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Edvard Grieg's prelude to the fourth act of Henrik Ibsen's “dramatic poem” Peer Gynt (1867/76), “Morning Mood,” is among the best-loved passages in the repertoire. Commonly assumed to invoke Norway's iconic western fjords, the prelude in fact sets the stage for Ibsen's eponymous wanderer, washed up on the Moroccan coast. Commentators have recently argued for a more nuanced and multilayered response to the sense of place in Grieg's score, but the idea of “mood,” and its relationship with landscape, is central to Grieg's work in other ways and extends well beyond his famous collaboration with Ibsen. This article examines the significance of mood in one of Grieg's last works, the piano collection Stemninger (“Moods”), op. 73, and assesses the term's significance and its association with notions of landscape, absence, agency, and displacement.

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Putri, Ivon Sandya Sari, Sri Raharso, and Tintin Suhaeni. "Millennial Generation's Music, Moods, and Impulsive Buying: empirical studies in minimarkets." Jurnal Penelitian Ekonomi dan Bisnis 6, no. 2 (September 16, 2021): 107–20. http://dx.doi.org/10.33633/jpeb.v6i2.4311.

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The purpose of this paper is to examine the influence of in-store music on impulsive buying among college students (as a millennial generation) in Bandung State Polytechnic, employed customer mood as mediator. Data from 200 respondents were received and analyzed using a regression for testing the hypotheses developed. The results show that the music is significantly affecting the customer's mood and impulsive buying. However, the customer mood does not play significantly affecting impulsive buying. Future research and managerial implications are addressed. Keywords: in-store music, mood, impulsive buying

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Mastrika Giri, Gst Ayu Vida, and Agus Harjoko. "Music Recommendation System Based on Context Using Case-Based Reasoning and Self Organizing Map." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 2 (November 1, 2016): 459. http://dx.doi.org/10.11591/ijeecs.v4.i2.pp459-464.

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Effective music recommendation can decrease listener’s effort in choosing music that will be listened. Music recommendation is not only can be obtained based on genre or audio similarity, because listener’s music choices are also influenced by the listener’s context (mood, occasion, part of day, date, weather, region, month, and weekday). This research used Case-Based Reasoning (CBR) for determining music recommendation based on listener’s context data and also Self Organizing Map (SOM) which is used as an indexing method in CBR. Inputs given by user to the system are user’s occasion and mood desired by user. The system output is a playlist consists of music that suitable with user’s context and desired mood.

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Mazzoni, Antonella, and Nick Bryan-Kinns. "Mood Glove: A haptic wearable prototype system to enhance mood music in film." Entertainment Computing 17 (November 2016): 9–17. http://dx.doi.org/10.1016/j.entcom.2016.06.002.

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Baylan, Satu, Caroline Haig, Maxine MacDonald, Ciara Stiles, Jake Easto, Meigan Thomson, Breda Cullen, et al. "Measuring the effects of listening for leisure on outcome after stroke (MELLO): A pilot randomized controlled trial of mindful music listening." International Journal of Stroke 15, no. 2 (April 2, 2019): 149–58. http://dx.doi.org/10.1177/1747493019841250.

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BackgroundCognitive deficits and low mood are common post-stroke. Music listening is suggested to have beneficial effects on cognition, while mindfulness may improve mood. Combining these approaches may enhance cognitive recovery and improve mood early post-stroke.AimsTo assess the feasibility and acceptability of a novel mindful music listening intervention.MethodsA parallel group randomized controlled feasibility trial with ischemic stroke patients, comparing three groups; mindful music listening, music listening and audiobook listening (control group), eight weeks intervention. Feasibility was measured using adherence to protocol and questionnaires. Cognition (including measures of verbal memory and attention) and mood (Hospital Anxiety and Depression Scale) were assessed at baseline, end of intervention and at six-months post-stroke.ResultsSeventy-two participants were randomized to mindful music listening ( n = 23), music listening ( n = 24), or audiobook listening ( n = 25). Feasibility and acceptability measures were encouraging: 94% fully consistent with protocol; 68.1% completing ≥6/8 treatment visits; 80–107% listening adherence; 83% retention to six-month endpoint. Treatment effect sizes for cognition at six month follow-up ranged from d = 0.00 ([−0.64,0.64], music alone), d = 0.31, ([0.36,0.97], mindful music) for list learning; to d = 0.58 ([0.06,1.11], music alone), d = 0.51 ([−0.07,1.09], mindful music) for immediate story recall; and d = 0.67 ([0.12,1.22], music alone), d = 0.77 ([0.16,1.38]mindful music) for attentional switching compared to audiobooks. No signal of change was seen for mood. A definitive study would require 306 participants to detect a clinically substantial difference in improvement (z-score difference = 0.66, p = 0.017, 80% power) in verbal memory (delayed story recall).ConclusionsMindful music listening is feasible and acceptable post-stroke. Music listening interventions appear to be a promising approach to improving recovery from stroke.

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Kemp, Elyria Angela, Kim Williams, Dong-Jun Min, and Han Chen. "Happy feelings: examining music in the service environment." International Hospitality Review 33, no. 1 (July 1, 2019): 5–15. http://dx.doi.org/10.1108/ihr-10-2018-0019.

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Purpose The purpose of this paper is to examine the psychological influence that the presence of music has on consumers’ evaluations of the service environment. Specifically, it investigates how emotion regulation processes and the impact of emotions/mood are linked to consumers’ evaluation of service and product quality. Design/methodology/approach An exploratory study was conducted using industry professionals in order to garner insight about the value of music and its benefits in the service environment. A field experiment was then conducted to test hypotheses. Findings Industry professionals offer implicit theories about the value of music. Specifically, they propose that music can be used to help customers regulate emotions and improve mood, enhance the customer experience and help in attracting new consumer segments. Results from the field experiment found that those exposed to music were likely to improve mood, express more favorable evaluations of the service and product quality of the establishment, as well as exhibit stronger intentions to continue to patronize the establishment. Practical implications Using live music in the service environment can be beneficial to organizations by improving customers’ emotional/psychological status as well as their evaluation of the consumption experience. Originality/value This research contributes to the existing literature by demonstrating how emotion regulation processes and the impact of emotions/mood are linked to consumers’ evaluation of service and product quality. Also, support for mood congruency judgment is found. Participants in the field study who had been exposed to music indicated that they made efforts to improve their mood and subsequently had more favorable judgments of service and product quality.

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Lesiuk, Teresa, Peter Polak, Joel Stutz, and Margot Hummer. "The Effect of Music Listening, Personality, and Prior Knowledge on Mood and Work Performance of Systems Analysts." International Journal of Human Capital and Information Technology Professionals 2, no. 3 (July 2011): 61–78. http://dx.doi.org/10.4018/jhcitp.2011070105.

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This research examined the effect of music use, personality and prior knowledge on mood and work performance of 62 Systems Analysts. Although the quality of the data modeling task did not appear to be affected by the experimental treatment of 10 minutes of music listening, the level of extraversion, modeling proficiency, and theoretical knowledge related to modeling showed significant effects. Nevertheless, the effects of music were demonstrated on several mood measures. The effect of music on negative and positive affect, along with their subscales, are presented. Finally, changes in the mood of participants who listened to the music are examined in the light of various demographic and personality variables.

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Sudarma, Made, and I. Gede Harsemadi. "Design and Analysis System of KNN and ID3 Algorithm for Music Classification based on Mood Feature Extraction." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 1 (February 1, 2017): 486. http://dx.doi.org/10.11591/ijece.v7i1.pp486-495.

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Each of music which has been created, has its own mood which is emitted, therefore, there has been many researches in Music Information Retrieval (MIR) field that has been done for recognition of mood to music. This research produced software to classify music to the mood by using K-Nearest Neighbor and ID3 algorithm. In this research accuracy performance comparison and measurement of average classification time is carried out which is obtained based on the value produced from music feature extraction process. For music feature extraction process it uses 9 types of spectral analysis, consists of 400 practicing data and 400 testing data. The system produced outcome as classification label of mood type those are contentment, exuberance, depression and anxious. Classification by using algorithm of KNN is good enough that is 86.55% at k value = 3 and average processing time is 0.01021. Whereas by using ID3 it results accuracy of 59.33% and average of processing time is 0.05091 second.

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van der Zwaag, Marjolein D., Joris H. Janssen, and Joyce H. D. M. Westerink. "Directing Physiology and Mood through Music: Validation of an Affective Music Player." IEEE Transactions on Affective Computing 4, no. 1 (January 2013): 57–68. http://dx.doi.org/10.1109/t-affc.2012.28.

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Garrido, Sandra, and Emery Schubert. "Music and People with Tendencies to Depression." Music Perception 32, no. 4 (April 1, 2015): 313–21. http://dx.doi.org/10.1525/mp.2015.32.4.313.

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Depression is often associated with a reduced motivation to engage in behavior that will improve one’s mood. This paper presents a study in which 175 university students listened to a self-selected piece of music on Youtube that made them sad. Post- and pre-listening scores of depressed mood on the Profile of Mood States (POMS) were taken, as were measures of rumination and scores on the Like Sad Music Scale (LSMS). Results indicate that listening to sad music via this medium can significantly increase feelings of depression in people with a tendency to depression (as suggested by high rumination scores). Furthermore, people with a tendency to depression demonstrate a liking for such music despite the potentially unhealthy consequences of listening to it.

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Breckler, Steven J., Robert B. Allen, and Vladimir J. Konežni. "Mood-Optimizing Strategies in Aesthetic-Choice Behavior." Music Perception 2, no. 4 (1985): 459–70. http://dx.doi.org/10.2307/40285313.

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In two experiments, we examined the manner in which people sequence and chunk their exposure to artistic and nonartistic stimuli differing in pleasingness. A new forced-choice paradigm with fixed time allotments for five choice alternatives was used in both studies. In Experiment 1, subjects made repeated choices among four types of music and an aversive tone, whereas in Experiment 2, the choices were made among Hvc types of slides ranging from nude females to assault victims. In both studies, subjects had to be exposed to 2 min each of the five alternatives, but the order and chunking, in 15-sec intervals, was up to them. For both auditory and visual stimuli, subjects chose the aversive ones early in the session and reserved the most pleasing stimuli for the end. Runs of aversive stimuli were interspersed with exposure to the moderately pleasing ones. For music, but not visual stimuli, the most pleasing type was chosen in the longest runs. The results were interpreted in terms of global and local aesthetic- choice strategies people use to optimize mood.

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Reeder, Max. "Book Review: In the Mood." International Journal of Music Education os-26, no. 1 (November 1995): 90. http://dx.doi.org/10.1177/025576149502600121.

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Journal articles on the topic 'Music and mood'

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