ABSTRACT
Listening to suitable music is important as different types of music have different impacts on the listener's mood. Similarly, color has the capability of influencing one's mood and choice of music as well. The relationship between color and music, color and mood, and mood and music can be established. However, up until now, the three items have been mostly represented as two dimensional (2D) model. In order to link all the three elements together, i.e. color-mood-music, multimodals are required to represent them. In this paper, a three dimensional (3D) model is proposed that integrates these three elements together for music recommendation. Questionnaires were developed and posted onto social media such as Facebook and Whatsapp. Analysis of results revealed that the relationship between color-mood and mood-color, color-music and music-color, and mood-music and music-mood were inconsistent, interestingly, it was found that there was association between specific color to specific mood and specific musical genres. This is useful as it helps to retrieve musical genre using a single model rather than multimodal.
- Ahmad Nawaz and Rana Afsheen. 2015. Impact of Music on Mood: Empirical Investigation. Research on Humanities and Social Sciences. Vol.5, No.21.Google Scholar
- Andjelkovic Ivana, Parra Denis, and O'Donovan John. 2018. Moodplay: Interactive music recommendation based on Artists' mood similarity. International Journal of Human Computer Studies, 000 (May 2017), 1--18.Google Scholar
- Çano Erion and Morisio Maurizio. 2017. MoodyLyrics: A sentiment annotated lyrics dataset. ACM International Conference Proceeding Series, Part F1278, 118--124. Google ScholarDigital Library
- Carruthers R Helen, Morris Julie, Tarrier Nicholas, and Whorwell J Peter. 2010. The Manchester Color Wheel: development of a novel way of identifying color choice and its validation in healthy, anxious and depressed individuals. BMC Med Res Methodol; 10(1): 12.Google Scholar
- De Bortoli Mario and Maroto Jesús. 2001. Colors across culture:Translating colors in interactive marketing communications. Proceedings of the European Languages and the Implementation of Communication and Information Technologies (Elicit) conference (pp. 3--4), Paisley University. ISBN: 0-9541774-0-1.Google Scholar
- Fricke Kai and Herzberg Y Philipp. 2017. Personality and self-reported preference for music genres and attributes in a German-speaking sample. Journal of Research in Personality, 68(September 2018), 114--123.Google Scholar
- Gao Qingji, Wang Kai, and Liu Haijuan. 2008. A Robot Emotion Generation Mechanism Based on PAD Emotion Space. International Conference on Intelligent Information Processing, Intelligent Information Processing IV, pp 138--147.Google ScholarCross Ref
- Isbilen S Erin and Krumhansl L Carol. 2016. The Color of Music: Emotion-Mediated Associations to Bach's Well-Tempered Clavier. Psychomusicology: Music, Mind, and Brain.Google Scholar
- Jin Jing and Shen Huaqing. 2018. Research About UI Color Preference for Mobile Terminal Based on the User's Visual Thinking and Perception. Man-Machine-Environment System Engineering, Lecture Notes in Electrical Engineering, 323--331.Google Scholar
- Kaya Naz and Epps H Helen. 2004. Relationship between color and emation: A study of college student. College Student Journal, 38(3), 396--405.Google Scholar
- Khan Mamoona and Ajmal Asir. 2017. Effect of Classical and Pop Music on Mood and Performance, International Journal of Scientific and Research Publications, Volume 7, Issue 12, December 2017 905 ISSN 2250-3153 7(12), 905--911.Google Scholar
- Kurt Sevinc and Osueke K Kelechi. 2014. The Effects of Color on the Moods of College Students. SAGE Open, 4(1), 215824401452542.Google ScholarCross Ref
- Liu F Thomas, Craft Mark, Situ Jason, Yumer J Erin, Mech Radomir, and Kumar Ranjitha. 2018. Learning Design Semantics for Mobile Apps. Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology, pages 569--578. Google ScholarDigital Library
- Mehrabian Albert and Russell A James. 1974. The Basic Emotional Impact of Environments. Perceptual and Motor skills, 38(1), 283--301.Google Scholar
- Moon B Chang, Kim HyunSoo, Lee A Hyun, and Kim M Byeong. 2014. Analysis of relationships between mood and color for different musical preferences. Color Research and Application, 39(4), 413--423.Google ScholarCross Ref
- Odbert S Henry, Karwoski F Theodore, and Eckerson B Andrew. 1942. Studies in synesthetic thinking: I. Musical and verbal associations of color and mood. The Journal of General Psychology, 26:1, 153--173.Google ScholarCross Ref
- Oramas Serjio, Barbieri Francesco, Nieto Oriol, and Serra Xavier. 2018. Multimodal deep learning for music genre classification. Transactions of the International Society for Music Information Retrieval, 1(1), pp.4--21.Google ScholarCross Ref
- Palmer E Stephen, Langlois A Thomas, and Schlos B Karen. 2016. Music-to-color cross-modal associations of single-line piano melodies in nonsynesthetes. Multisensory Research, 29, 157--193.Google ScholarCross Ref
- Palmer E Stephen, Schloss B Karen, Xu Zoe, and Prado-León R Lilia. 2013. Music-color associations are mediated by emotion. Proceedings of the National Academy of Sciences of the United States of America, 110, 8836--8841.Google ScholarCross Ref
- Pesek Matevž, Strle Grego, Kavčič Alenka, and Marolt Matija. 2017. The Moodo dataset: Integrating user context with emotional and color perception of music for affective music information retrieval. Journal of New Music Research, 46(3), 246--260.Google ScholarCross Ref
- Ran Manli, Tan Xiaolin, Jiang Guoquing, Chen Xue, Yang Hui and Yuan Guan. 2017. Probe into Color Preference in Inpatients with Depressive Disorders. Journal of Psychiatry and Brain Science, 2(3), 3.Google Scholar
- Russell A James. 1980. A circumplex model of affect. Journal of Personality and Social Psychology.Google Scholar
- Russell A James. 2018. Evidence for a Three-Factor Theory of Emotions, 6566(September 1977).Google Scholar
- Winer J Benjamin. 1962. Statistical principles in experimental design. New York: McGraw-Hill, 1962Google Scholar
- Zhu Zijiang, Li Junshan, Deng Xiaoguang, and Hu Yi. 2018. An Improved Three-Dimensional Model for Emotion Based on Fuzzy Theory, Journal of Computer and Communications, 2018, 6, 101--111.Google Scholar
Index Terms
- Interactive Musical Songs Recommendation Using 3D Coordinates Model
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