The Influence of Music Psychology on the Consistency of Mood in Movies: A Review of Historical Works and Empirical Research




Psychology, Music Effect, Movie Mood, History Movie and Television, Example Analysis


This study takes music and its corresponding psychological effects in the historical movie works as the research object, sorts out the internal connection between the musical form factors of the movie and the audience's psychology, and then analyzes the tense psychological emotions and their musical psychological aspects through movie examples, explores the sound factors and their psychological contrast effects, and finally reveals the impact of changes in proper melody on psychological outcomes. Research has found that the loudness of sound is closely related to emotional fluctuations, as well as the psychological responses brought by different types of music in dynamic and static movie scenes. When creating the sound of movie and television works, unique loudness designs for language and sound effects often bring unexpected results. The sounds in movies are all compound sounds, different from the direct physiological stimulation of pure tones on the auditory system. The tone cognition of compound sounds not only includes physiological reactions but also brings specific psychological effects. The psychological perception brought about by changes in sound frequency is different from the psychological impacts of loudness, and the psychological outcomes related to frequency are mainly attached to music and musicalized sound in creation. The rhythm, frequency, and emphasis of sound can more effectively and accurately guide the audience to realize the spatiotemporal transformation in the movie, providing them with a better viewing experience. The connection between "real" and "nonreal" scenes in historical movies usually involves high-frequency instruments and significant changes in the rhythm of the music. These self-explanatory psychological suggestive methods, combined with symbolic music, can create a specific "hypnotic" effect on the whole, bringing a combination of natural and virtual psychological effects to the audience.


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Abraham, V., Bremser, K., Carreno, M., Crowley-Cyr, L., & Moreno, M. (2021). Exploring the consequences of COVID-19 on tourist behaviors: Perceived travel risk, animosity and intentions to travel. Tourism Review, 76(4), 701-717.

Angel-Alvarado, R., Quiroga-Fuentes, I., & Gárate-González, B. (2022). Working on the dark side of the moon: Overcoming music education inequities in the Chilean school system. Arts Education Policy Review, 1-11.

Ajmani, N. & Kumar, S. (2022). The struggles of self: Analyzing the music of Linkin Park and Sleeping At Last. Human Arenas, 5, 161-178.

An, H., Sung, W., & Yoon, S. Y. (2022). Hands-on, minds-on, hearts-on, social: A collaborative maker project integrating arts in a synchronous online environment for teachers. TechTrends, 66(4), 590-606.

Bakerjian, D., Bettega, K., Cachu, A. M., Azzis, L., & Taylor, S. (2020). The impact of music and memory on resident level outcomes in California nursing homes. Journal of the American Medical Directors Association, 21(8), 1045-1050.

Biasutti, M., Antonini Philippe, R., & Schiavio, A. (2021). Assessing teachers’ perspectives on giving music lessons remotely during the COVID-19 lockdown period. Musicae Scientiae, 26(3), 585-603.

Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2021). Introduction to meta-analysis. Hoboken, NJ: John Wiley & Sons.

Cardona, G., Rodriguez-Fornells, A., Nye, H., Rifà-Ros, X., & Ferreri, L. (2020). The impact of musical pleasure and musical hedonia on verbal episodic memory. Scientific Reports, 10(1), 16113.

Cartagena, H. F. (2021). Developing musical sensitivity and creativity through various forms of play activities. Malaysian Journal of Music, 10(2), 74-89.

Carlson, E., Wilson, J., Baltazar, M., Duman, D., Peltola, H. R., Toiviainen, P., & Saarikallio, S. (2021). The role of music in everyday life during the first wave of the coronavirus pandemic: A mixed-methods exploratory study. Frontiers in Psychology, 12, 647756.

Cheah, J. H., Nitzl, C., Roldan, J. L., Cepeda-Carrion, G., & Gudergan, S. P. (2021). A primer on the conditional mediation analysis in PLS-SEM. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 52(SI), 43-100.

Cowen, A. S., Fang, X., Sauter, D., & Keltner, D. (2020). What music makes us feel: At least 13 dimensions organize subjective experiences associated with music across different cultures. Proceedings of the National Academy of Sciences, 117(4), 1924-1934.

Damayanti, N., Yahya, K. K., Yean, T. F., Maasir, L., & Abdullah, T. M. K. (2022). Determining factors of career commitment moderated by self-efficacy among Generation Y in the banking sector using Social Cognitive Theory (SCT). APMBA (Asia Pacific Management and Business Application), 10(3), 361-376.

Daubney, A., & Fautley, M. (2021). U-turns in the fog: The unfolding story of the impact of COVID-19 on music education in England and the UK. British Journal of Music Education, 38(1), 3-12.

Das, S., & Satpathy, S. (2020). Multimodal music mood classification framework for kokborok music. Solid State Technology, 63(6), 9209-9219.

Davies, C., Shurdington, J., Murray, K., Slater, L., & Pearson, D. (2021). Music for wellness in rehabilitation patients: Programme description and evaluation results. Public health, 194, 109-115.

Deveci Topal, A., Kolburan Geçer, A., & Çoban Budak, E. (2023). An analysis of the utility of digital materials for high school students with intellectual disability and their effects on academic success. Universal Access in the Information Society, 22(1), 95-110.

De Witte, M., Spruit, A., van Hooren, S., Moonen, X., & Stams, G. J. (2020). Effects of music interventions on stress-related outcomes: A systematic review and two meta-analyses. Health Psychology Review, 14(2), 294-324.

Doubova, S. V., Terreros-Muñoz, E., Delgado-Lòpez, N., Montaño-Figueroa, E. H., Infante-Castañeda, C., & Pérez-Cuevas, R. (2020). Experiences with health care and health-related quality of life of patients with hematologic malignancies in Mexico. BMC Health Services Research, 20(1), 1-10.

Du, J., & Leung, B. W. (2022). The sustainability of multicultural music education in Guizhou Province, China. International Journal of Music Education, 40(1), 131-148.

Dunbar, R. I. M., Pearce, E., Tarr, B., Makdani, A., Bamford, J., Smith, S., & McGlone, F. (2022). Author correction: Cochlear SGN neurons elevate pain thresholds in response to music. Scientific Reports, 12(1).

Fraenkel, P. (2020). Integrating music into couple therapy theory and practice. Clinical Social Work Journal, 48, 319-333.

Garg, A., Chaturvedi, V., Kaur, A. B., Varshney, V., & Parashar, A. (2022). Machine learning model for mapping of music mood and human emotion based on physiological signals. Multimedia Tools and Applications, 81(4), 5137-5177.

Guimares, J. P. (2021). Beyond the pulp vanguard: Bruce Andrews's movie noir series and the dead-end of escapist experimentalism. Counter Text, 7(3), 467-500.

Guo, Z. & Xiao, Z. (2021). Research on the online calibration of lidar and camera for intelligent connected vehicles based on depth-edge matching. Nonlinear Engineering, 10(1), 469-476.

Hashemi, Y., Zarani, F., Heidari, M., & Borhani, K. (2022). Purposes of Internet use among Iranian university students: Exploring its relationship with social networking site (SNS) addiction. BMC Psychology, 10(1), 1-9.

Herbrand, M. K., & Silverman, M. J. (2021). A randomized pilot study of patient-preferred live music addressing fatigue, energy, and pain in adults on a medical oncology/hematology unit. Psychology of Music, 49(6), 1561-1572.

He, Y., Guo, X., May, B. H., Zhang, A. L., Liu, Y., Lu, C., . . . & Zhang, H. (2020). Clinical evidence for association of acupuncture and acupressure with improved cancer pain: A systematic review and meta-analysis. JAMA Oncology, 6(2), 271-278.

Huang, R. & Yang, X. (2022). Analysis and research hotspots of ceramic materials in textile application. Journal of Ceramic Processing Research, 23(3), 312-319.

Jannusch, T., Shannon, D., Völler, M., Murphy, F., & Mullins, M. (2021). Smartphone use while driving: An investigation of young novice driver (YND) behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 77, 209-220.

Kirk, U., Ngnoumen, C., Clausel, A., & Purvis, C. K. (2022). Effects of Three Genres of Focus Music on Heart Rate Variability and Sustained Attention. Journal of Cognitive Enhancement, 6(2), 143-158.

Li, Y., Xing, X., Shi, X., Yan, P., Chen, Y., Li, M., . . . & Yang, K. (2020). The effectiveness of music therapy for patients with cancer: A systematic review and meta-analysis. Journal of Advanced Nursing, 76(5), 1111-1123.

Moreno, M., & Woodruff, E. (2022). Synthesizing advancements in methodology and technology to understand affective expression and music stimuli: A literature review. SN Social Sciences, 2(4), 38.

Ostendorf, A. L., Schlüter, H., & Hackländer, R. P. (2020). Sounds in the classroom: Auditory context-dependent memory in school-aged children. Open Psychology, 2(1), 106-118.

Qi, Y., Lin, L., Dong, B., Xu, E., Bao, Z., Qi, J., . . . & Tian, L. (2021). Music interventions can alleviate cancer-related fatigue: A metaanalysis. Supportive Care in Cancer, 29, 3461-3470.

Rahiem, M. D. (2021). Storytelling in early childhood education: Time to go digital. International Journal of Child Care and Education Policy, 15(1), 1-20.

Reimnitz, L., & Silverman, M. J. (2020). A randomized pilot study of music therapy in the form of patient-preferred live music on fatigue, energy and pain in hospitalized adult oncology patients on a blood and marrow transplant unit. Arts & Health, 12(2), 154-168.

Strong, J. V. (2022). Music experience predicts episodic memory performance in older adult instrumental musicians. Brain and Cognition, 161, 105883.

Shi, C., Hu, P., Fan, W., & Qiu, L. (2021). How learning effects influence knowledge contribution in online Q&A community? A social cognitive perspective. Decision Support Systems, 149, 113610.

Xu, L. [Liuchang], Zheng, Y., Xu, D., & Xu, L [Liang]. (2021). Predicting the preference for sad music: The role of gender, personality, and audio features. EEE Access, 9, 92952-92963.




How to Cite

Li, Y., & Lee, F. (2023). The Influence of Music Psychology on the Consistency of Mood in Movies: A Review of Historical Works and Empirical Research. Herança, 7(1), 44–57.



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