Kevin Gray Chan
Jordan Aiko Deja
ABSTRACT
In this study, we present the music composition tool Flow and how an interaction was designed that led towards introducing balance in the work of musicians across all stages in musical composition. Observation and user research led to having a deeper understanding of the various needs, gains and pain points musicians encounter when composing. Musicians and composers who participated in the study, came from varying levels of expertise from beginner (those with less than 7 years) and veteran (those with beyond 10 years experience). An iterative process of design and development was continuously employed which led to improving the interaction design within the prototype. The processes described in this study show how insights were uncovered from a comprehensive set of usability tests and inspections done. These insights led to the development of a more usable and acceptable musical composition tool as seen from the results in the user tests. It can be observed that varying levels of expertise in music composition leads to different expectations and needs with regards to a music composition prototype. Results of the user tests show that Flow achieved a level of satisfaction and usability at par with the industry-standard tools.
- Stan Bennett. 1976. The process of musical creation: Interviews with eight composers. Journal of research in music education 24, 1 (1976), 3--13.Google Scholar
Cross Ref
- Dom Brown, Chris Nash, and Tom Mitchell. 2017. A user experience review of music interaction evaluations. In Proceedings of the International Conference on New Interfaces for Musical Expression 2017.Google Scholar
- Christine Cheng. 2016. On approaching a performance of Paul Hindemith's Der Schwanendreher. (2016).Google Scholar
- David Collins. 2005. A synthesis process model of creative thinking in music composition. Psychology of music 33, 2 (2005), 193--216.Google Scholar
- Dave Collins. 2016. The Act of Musical Composition: Studies in the creative process. Routledge.Google Scholar
- Jordan Aiko Deja, Patrick Arceo, Darren Goldwin David, Patrick Lawrence Gan, and Ryan Christopher Roque. 2018a. MyoSL: A Framework for Measuring Usability of Two-Arm Gestural Electromyography for Sign Language. In International Conference on Universal Access in Human-Computer Interaction. Springer, 146--159.Google Scholar
- Jordan Aiko Deja, Kevin Gray Chan, Migo Andres Dancel, Allen Vincent Gonzales, and John Patrick Tobias. 2018b. Flow: A Musical Composition Tool Using Gesture Interactions and Musical Metacreation. In International Conference on Human-Computer Interaction. Springer, 169--176.Google Scholar
- Kevin Donnelly. 2005. The spectre of sound: Music in film and television. British Film Institute; University of California Press.Google Scholar
- Andrew Gartland-Jones and Peter Copley. 2003. The suitability of genetic algorithms for musical composition. Contemporary Music Review 22, 3 (2003), 43--55.Google ScholarCross Ref
- Max Graf. 2013. From Beethoven To Shostakovich-The Psychology Of The Composing Process. Read Books Ltd.Google Scholar
- Stan Hawkins and Lori Burns. 2013. From Pac-Man to pop music: interactive audio in games and new media. Ashgate Publishing, Ltd.Google Scholar
- D. Herremans and E. Chew. 2016. MorpheuS: Automatic music generation with recurrent pattern constraints and tension profiles. In IEEE TENCON. IEEE, IEEE, Singapore.Google Scholar
- H. H. S. Ip, K. C. K. Law, and B. Kwong. 2005. Cyber Composer: Hand Gesture-Driven Intelligent Music Composition and Generation. In 11th International Multimedia Modelling Conference. 46--52. Google ScholarDigital Library
- Junki Kikuchi, Hidekatsu Yanagi, and Yoshiaki Mima. 2016. Music Composition with Recommendation. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, 137--138. Google ScholarDigital Library
- David A Levitt. 1992. A representation for musical dialects. In Machine models of music. MIT Press, 455--469. Google ScholarDigital Library
- Carolyn R Miller. 1984. Genre as social action. Quarterly Journal of Speech 70, 2 (1984), 151--167.Google ScholarCross Ref
- Philippe Pasquier, Arne Eigenfeldt, Oliver Bown, and Shlomo Dubnov. 2017. An Introduction to Musical Metacreation. Comput. Entertain. 14, 2, Article 2 (jan 2017), 14 pages. Google ScholarDigital Library
- John Rothgeb. 1975. Strict counterpoint and tonal theory. Journal of Music Theory 19, 2 (1975), 260--284.Google ScholarCross Ref
- Valerio Velardo and Steven Jan. 2016. Study Day on Computer Simulation of Musical Creativity. Google ScholarDigital Library
Index Terms
- Applying User-Centered Techniques in the Design of a Usable Mobile Musical Composition Tool
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