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      Case Study of Data Mining Mutual Engagement

      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Creativity, Creativity Support Tools, Mutual Engagement, Data Mining, Evaluation, Interaction Corpus

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          Abstract

          This paper presents a case study of using conventional Data Mining techniques to identify clusters of creative contributions made by users in a collaborative music making system. Results of the clustering suggest that when people mutually engage with each other they tend to converge on similar creative contributions, whereas smaller clusters may indicate higher quality contributions. We also show how we used Data Mining to discriminate between kinds of creative contributions including: complex melodic structures, simple melodic structures, musical motifs, and rhythmical contributions. Our use of Data Mining does not require direct interaction with users and so it may be useful in real-world study contexts.

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          Social influence analysis in large-scale networks

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            Creativity support tools: accelerating discovery and innovation

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              Finding Waldo: Learning about Users from their Interactions

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                Author and article information

                Contributors
                Conference
                July 2018
                July 2018
                : 1-6
                Affiliations
                Queen Mary University of London

                London, E1 4NS. UK
                10.14236/ewic/HCI2018.98
                © Bryan-Kinns. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

                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/

                Proceedings of the 32nd International BCS Human Computer Interaction Conference
                HCI
                32
                Belfast, UK
                4 - 6 July 2018
                Electronic Workshops in Computing (eWiC)
                Human Computer Interaction Conference
                Product
                Product Information: 1477-9358 BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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