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      An Interactive Music Playlist Generator that Responds to User Emotion and Context


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      Electronic Visualisation and the Arts (EVA)

      Electronic Visualisation and the Arts

      12 - 14 July 2016

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          This paper aims to demonstrate the mechanisms of a music recommendation system, and accompanying graphical user interface (GUI), that is capable of generating a playlist of songs based upon an individual’s emotion or context. This interactive music playlist generator has been designed as part of a broader system, Intended for mobile devices, which aims to suggest music based upon ‘how the user is feeling’ and ‘what the user is doing’ by evaluating real-time physiological and contextual sensory data using machine learning technologies. For instance, heart rate and skin temperature in conjunction with ambient light, temperature and global positioning satellite (GPS) could be used to a degree to infer one’s current situation and corresponding mood.

          At present, this interactive music playlist generator has the ability to conceptually demonstrate how a playlist can be formed in accordance with such physiological and contextual parameters. In particular, the affective aspect of the interface is visually represented as a two-dimensional arousal-valence space based upon Russell’s circumplex model of affect (1980).Context refers to environmental, locomotion and activity concepts, and are visually represented in the interface as sliders. These affective and contextual components are discussed in more detail next in Sections 2 and 3, respectively. Section 4 will demonstrate how an affective and contextual music playlist can be formed by interacting with the GUI parameters. For a comprehensive discussion in terms of the development of this research, refer to (Griffiths et al. 2013a, 2013b, 2015). Moreover, refer to Teng et al. (2013) and Yang et al. (2008) for related work in these broader research areas.

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          Most cited references 6

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          A large in-situ dataset for context-aware music recommendation on smartphones

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            A Self-Report Study Which Gauges Perceived and Induced Emotion With Music

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              A Discussion of Musical Features For Automatic Music Playlist Generation Using Affective Technologies


                Author and article information

                July 2016
                July 2016
                : 275-276
                [1 ] Glyndŵr University

                Mold Road

                Wrexham LL11 2AW


                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Electronic Visualisation and the Arts
                London, UK
                12 - 14 July 2016
                Electronic Workshops in Computing (eWiC)
                Electronic Visualisation and the Arts
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Electronic Workshops in Computing


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