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Validating the proposed framework for visualising music mood using visual texture

Husain, A., Shiratuddin, M.F. and Wong, K.W. (2022) Validating the proposed framework for visualising music mood using visual texture. In: Lv, Z. and Song, H., (eds.) Intelligent Technologies for Interactive Entertainment 13th EAI International Conference, INTETAIN 2021, Virtual Event, December 3-4, 2021, Proceedings. Springer Cham, pp. 142-160.

Link to Published Version: https://doi.org/10.1007/978-3-030-99188-3_9
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Abstract

There are several ways to search for songs in an online music library. A few types of visual variables to represent music information such as colour, position, shape, size, and visual texture have been explored in Music Information Retrieval (MIR). However, from a comprehensive literature review, there is no research focusing explicitly on the use of visual texture for browsing music. In this research, we define visual texture as an image of texture designed using the drawing application. In this paper, a framework for visualising music mood using visual texture is proposed. This proposed framework can be used by designers or software developers to select suitable visual elements when designing a clear and understandable visual texture to represent specific music moods in the music application. This research offers a new way of browsing digital music collection and assisting the music listener community to discover new song especially in mood category. To validate the framework, usability testing was conducted. This paper presents the process of developing and validating the proposed framework.

Item Type: Book Chapter
Murdoch Affiliation(s): IT, Media and Communications
Publisher: Springer Cham
Copyright: © 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2022
URI: http://researchrepository.murdoch.edu.au/id/eprint/64809
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