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Three types of viewers' favorite music videos

Published: 13 June 2007 Publication History

Abstract

The purpose of this study is to classify viewers' favorite music videos based on viewers' attributes evaluation and identify their characteristics. In this study, we designed a web-based questionnaire survey to collect data from forty-three young people. Participants watched fifteen music videos one-by-one and rated overall preference and twelve attributes with five-point scales. Then, we carried out the k-means clustering analysis according to the viewers' attributes evaluation ratings. As a result, we found that there were three types of viewers' favorite music videos. Viewers gave high evaluations to those music videos primarily because: (1) auditory-leading type: they liked music and singer; (2) visual-leading type: they were amazed by the imaging technique; (3) synergic type: they got favorable impressions overall.allIt is noteworthy that stories related to the lyrics and time-order structured had especially a positive impact on the viewers' evaluation.

References

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Fishbein, M.: An Investigation of the Relationships between Beliefs about an Object and Attitude toward That Object; Human Relations, 16, pp. 233--240 (1963).
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Kamata, M., Arisawa, M.: Music Video Viewers' Evaluation Parameters of Likeability; In Proceedings of 3rd Conference on Visual Media Production, (London, UK) pp.185 (2006).
[3]
Bolivar, V. J., Cohen, A. J., Fentress, J. C.: Semantic and Formal Congruency in Music and Motion Pictures: Effects on the Interpretation of Visual Action; Psychomusicology, Vol.13, No.1, pp.28--59 (1994).
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Lipscomb, S. D., Kenball, R. A.: Perceptual Judgment of the Relationship between Musical and Visual Components in Film; Psychomusicology, 13, (1994).
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Lipscomb, S.D., Kim, E.M.: Perceived Match between Visual Parameters and Auditory Correlates: An Experimental Multimedia Investigation; In Proceedings of 8th International Conference of Music Perception and Cognition, (2004).
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Reiter, U., Holzhauser, S.: An Input Device for Subjective Assessments of Bimodal Audio Visual Perception; In Proceedings of IEEE/ISCE'05 (Macau SAR/China), pp.296--300 (2005).
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Hua, Z., Lu, L., Zhang, H.: Automatic Music Video Generation Based on Temporal Pattern Analysis; In Proceedings of ACM International Conference on Multimedia 2004 (MM '04), pp472--475 (2004).

Cited By

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  • (2018)Search in the mood: the information filter based on ambiguous queriesInternational Journal of Computer Applications in Technology10.1504/IJCAT.2009.02408734:4(322-329)Online publication date: 28-Dec-2018
  • (2013)A self-similarity approach to repairing large dropouts of streamed musicACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)10.1145/2487268.24872739:3(1-20)Online publication date: 3-Jul-2013
  • (2008)Information Filter for Ambiguous Information RetrievalProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WIIAT.2008.312(55-58)Online publication date: 9-Dec-2008
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cover image ACM Conferences
ACE '07: Proceedings of the international conference on Advances in computer entertainment technology
June 2007
324 pages
ISBN:9781595936400
DOI:10.1145/1255047
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2007

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Author Tags

  1. Kansei engineering
  2. clustering
  3. music videos
  4. preference evaluation
  5. questionnaire survey

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Cited By

View all
  • (2018)Search in the mood: the information filter based on ambiguous queriesInternational Journal of Computer Applications in Technology10.1504/IJCAT.2009.02408734:4(322-329)Online publication date: 28-Dec-2018
  • (2013)A self-similarity approach to repairing large dropouts of streamed musicACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)10.1145/2487268.24872739:3(1-20)Online publication date: 3-Jul-2013
  • (2008)Information Filter for Ambiguous Information RetrievalProceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WIIAT.2008.312(55-58)Online publication date: 9-Dec-2008
  • (2007)Music video viewers' preference evaluation criteria and their characteristicsProceedings of the 6th international conference on Entertainment Computing10.5555/2394259.2394332(462-465)Online publication date: 15-Sep-2007
  • (2007)Music Video Viewers’ Preference Evaluation Criteria and Their CharacteristicsEntertainment Computing – ICEC 200710.1007/978-3-540-74873-1_61(462-465)Online publication date: 2007

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