PREDICTING LISTENER'S MOOD BASED ON MUSIC GENRE: AN ADAPTED REPRODUCED MODEL OF RUSSELL AND THAYER

Worlu Chijioke
2017 Journal of Technology Management and Business   unpublished
Individual "mood" has presently received growing consideration as a useful technique for organizing and accessing music. Stress which changes person attitude is a major physical and psychological problem of individuals today. Many types of research have been carried out based on this study of mood, particularly in the U.S.A, Canada, Europe, and some part of Asia. However, while these studies are relevant, and help to solve the problem of mood change, still, researchers were not able to look
more » ... this important aspect in one of the 25 rapid growth markets in the world-Malaysia. The used music genre as an influence mechanism to predict mood individual and again identifies the classified music genre that predicts personal mood. The study adapts a model of Russell and Thayer to categorize selected attitudes in the study. The study uses quantitative survey method, and questionnaire form was designed and used as an instrument for data collection. Data were collected from 245 respondents from University Utara Malaysia (UUM) students and were analyzed using SPSS version 20. Results were presented in words, bar chart and table form. The study has found that the uses' of music to predict individual mood is positively related to the aim and problem of the investigation. Result in part A of the study indicates that music can be used to influence particular mood. Meanwhile, findings in part B shows that the classified music genre was helpful to predict individual mood.
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