Case Study of Data Mining Mutual Engagement

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.

Content

Author and article information

Contributors

Nick Bryan-Kinns

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-6

Affiliations

[0001]Queen Mary University of London

London, E1 4NS. UK

Article

DOI: 10.14236/ewic/HCI2018.98

SO-VID: 8271dfe6-3e2c-4c99-b576-75abd62a1a77

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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/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.98

Self URI (journal page): https://ewic.bcs.org/

References

Refsum Jensenius AlexanderMichael J. Lyons (eds.). 2017 A NIME Reader: Fifteen Years of New Interfaces for Musical Expression Springer International Publishing AG Switzerland. ISBN 9783319472133
Jeronimo Barbosa Joseph Malloch Marcelo M. Wanderley, and St uot phane 2015 What does “Evaluation” mean for the NIME community? In Proceedings of the International Conference on New Interfaces for Musical Expression Baton Rouge, LA, USA May 31-June 3 2015.
Steve Benford Chris Greenhalgh Andy Crabtree Martin Flintham Brendan Walker Joe Marshall Boriana Koleva Stefan Rennick Egglestone Gabriella Giannachi Matt Adams Nick Tandavanitj, and Ju Row Farr 2013 Performance-Led Research in the Wild ACM Trans. Comput.-Hum. Interact 20 3, Article 14 (July 2013), 22 pages. DOI=http://dx.doi.org/10.1145/2491500.2491502
Eli T Brown Alvitta Ottley Helen Zhao Quan Lin Richard Souvenir Alex Endert Remco Chang 2014 Finding waldo: Learning about users from their interactions IEEE Transactions on Visualization and Computer Graphics 20(12):1663–1672.
Nick Bryan-KinnsFraser Hamilton 2009 Identifying Mutual Engagement Behaviour & Information Technology. DOI: 10.1080/01449290903377103
Nick Bryan-Kinns 2013 Mutual Engagement and Collocation with Shared Representations International Journal of Human Computer Studies. DOI: http://dx.doi.org/10.1016/j.ijhcs.2012.02.004
Nick Bryan-Kinns 2014 Mutual Engagement in Digitally Mediated Public Art. In Interactive Experience in the Digital Age L. Candy, & S. Ferguson (Eds.), Springer.
Nick Bryan-Kinns 2018 Mutual Engagement Interaction Corpus. Published May 2018 at http://c4dm.eecs.qmul.ac.uk/rdr/handle/123456789/43
Shuo Chang Peng Dai Jilin Chen, and Ed H. Chi 2015 Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA 397-406. DOI: http://dx.doi.org/10.1145/2740908.2745401.
Erin CherryCeline Latulipe 2014 Quantifying the Creativity Support of Digital Tools through the Creativity Support Index ACM Trans. Comput.-Hum. Interact 21 4, Article 21 (June 2014), 25 pages. DOI: http://dx.doi.org/10.1145/2617588.
Ed H. Chi Peter Pirolli, and James Pitkow 2000 The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (CHI '00). ACM, New York, NY, USA 161-168. DOI=http://dx.doi.org/10.1145/332040.332423
Roger B. DannenbergNing Hu 2002 Pattern Discovery Techniques for Music Audio In Proceedings of 3rd International Conference on Music Information Retrieval (ISMIR), 2002.
Nicholas Davis Chih-PIn Hsiao Kunwar Yashraj Singh Lisa Li, and Brian Magerko 2016 Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent In Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16). ACM, New York, NY, USA 196-207. DOI: http://doi.org/10.1145/2856767.2856795
Jeffrey HeerH. Chi Ed 2002 Separating the swarm: categorization methods for user sessions on the web In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '02). ACM, New York, NY, USA 243-250. DOI=http://dx.doi.org/10.1145/503376.503420
Leonard KaufmanJ. Rouseeuw Peter 1990 Finding Groups in Data: An Introduction to Cluster Analysis Hoboken, NJ: John Wiley & Sons, Inc.
Andruid Kerne Andrew M. Webb Steven M. Smith Rhema Linder Nic Lupfer Yin Qu Jon Moeller, and Sashikanth Damaraju 2014 Using metrics of curation to evaluate information-based ideation ACM Trans. Comput.-Hum. Interact. 21 3, Article 14 (June 2014), 48 pages. DOI: http://dx.doi.org/10.1145/2591677
P. Lloyd Stuart 1982 Least Squares Quantization in PCM IEEE Transactions on Information Theory 28 129–137.
MATLAB 2017. Retrieved August 2017 from http://uk.mathworks.com/products/matlab.html
Lizzie MullerErnest Edmonds 2006 Living Laboratories: Making and Curating Interactive Art In ACM SIGGRAPH 2006 Art gallery (SIGGRAPH '06). ACM, New York, NY, USA, Article 160. DOI=http://dx.doi.org/10.1145/1178977.1179120
Anand Rajaraman Jeffrey David Ullman 2011 Mining of Massive Datasets. Cambridge University Press. DOI: http://doi.org/10.1017/CBO9781139058452
Arvind Satyanarayan Maxine Lim, and Scott Klemmer 2012 A platform for large-scale machine learning on web design In CHI '12 Extended Abstracts on Human Factors in Computing Systems (CHI EA '12). ACM, New York, NY, USA 1697-1702. DOI: http://dx.doi.org/10.1145/2212776.2223695
Stefania Serafin Karmen Franinovic Thomas Hermann Guillaume Lemaitre Michal Rinott, and Davide Rocchesso 2011 Sonic interaction design. In Thomas Hermann Andy Hunt, and John G. Neuhoff (Eds), The Sonification Handbook, Chapter 5, 87–110 Logos Publishing House Berlin.
Simeon J Simoff Mary Lou Maher 2000 Analysing participation in collaborative design environments Design Studies 21(2), 119-144 Elsevier, ISSN 0142-694X
Ben Shneiderman 2007 Creativity support tools: Accelerating discovery and innovation Communications of the ACM, 50(12):20–32.
Jie Tang Jimeng Sun Chi Wang, and Zi Yang 2009 Social influence analysis in large-scale networks In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09) ACM, New York, NY, USA 807-816. DOI: http://doi.org/10.1145/1557019.1557108
Gang Wang Xinyi Zhang Shiliang Tang Haitao Zheng, and Y. Zhao Ben 2016 Unsupervised Clickstream Clustering for User Behavior Analysis In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16) ACM, New York, NY, USA 225-236. DOI: http://doi.org/10.1145/2858036.2858107

Comments

Comment on this article

[1] Refsum Jensenius AlexanderMichael J. Lyons (eds.). 2017 A NIME Reader: Fifteen Years of New Interfaces for Musical Expression Springer International Publishing AG Switzerland. ISBN 9783319472133

[2] Jeronimo Barbosa Joseph Malloch Marcelo M. Wanderley, and St uot phane 2015 What does “Evaluation” mean for the NIME community? In Proceedings of the International Conference on New Interfaces for Musical Expression Baton Rouge, LA, USA May 31-June 3 2015.

[3] Steve Benford Chris Greenhalgh Andy Crabtree Martin Flintham Brendan Walker Joe Marshall Boriana Koleva Stefan Rennick Egglestone Gabriella Giannachi Matt Adams Nick Tandavanitj, and Ju Row Farr 2013 Performance-Led Research in the Wild ACM Trans. Comput.-Hum. Interact 20 3, Article 14 (July 2013), 22 pages. DOI=http://dx.doi.org/10.1145/2491500.2491502

[4] Eli T Brown Alvitta Ottley Helen Zhao Quan Lin Richard Souvenir Alex Endert Remco Chang 2014 Finding waldo: Learning about users from their interactions IEEE Transactions on Visualization and Computer Graphics 20(12):1663–1672.

[5] Nick Bryan-KinnsFraser Hamilton 2009 Identifying Mutual Engagement Behaviour & Information Technology. DOI: 10.1080/01449290903377103

[6] Nick Bryan-Kinns 2013 Mutual Engagement and Collocation with Shared Representations International Journal of Human Computer Studies. DOI: http://dx.doi.org/10.1016/j.ijhcs.2012.02.004

[7] Nick Bryan-Kinns 2014 Mutual Engagement in Digitally Mediated Public Art. In Interactive Experience in the Digital Age L. Candy, & S. Ferguson (Eds.), Springer.

[8] Nick Bryan-Kinns 2018 Mutual Engagement Interaction Corpus. Published May 2018 at http://c4dm.eecs.qmul.ac.uk/rdr/handle/123456789/43

[9] Shuo Chang Peng Dai Jilin Chen, and Ed H. Chi 2015 Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA 397-406. DOI: http://dx.doi.org/10.1145/2740908.2745401.

[10] Erin CherryCeline Latulipe 2014 Quantifying the Creativity Support of Digital Tools through the Creativity Support Index ACM Trans. Comput.-Hum. Interact 21 4, Article 21 (June 2014), 25 pages. DOI: http://dx.doi.org/10.1145/2617588.

[11] Ed H. Chi Peter Pirolli, and James Pitkow 2000 The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (CHI '00). ACM, New York, NY, USA 161-168. DOI=http://dx.doi.org/10.1145/332040.332423

[12] Roger B. DannenbergNing Hu 2002 Pattern Discovery Techniques for Music Audio In Proceedings of 3rd International Conference on Music Information Retrieval (ISMIR), 2002.

[13] Nicholas Davis Chih-PIn Hsiao Kunwar Yashraj Singh Lisa Li, and Brian Magerko 2016 Empirically Studying Participatory Sense-Making in Abstract Drawing with a Co-Creative Cognitive Agent In Proceedings of the 21st International Conference on Intelligent User Interfaces (IUI '16). ACM, New York, NY, USA 196-207. DOI: http://doi.org/10.1145/2856767.2856795

[14] Jeffrey HeerH. Chi Ed 2002 Separating the swarm: categorization methods for user sessions on the web In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '02). ACM, New York, NY, USA 243-250. DOI=http://dx.doi.org/10.1145/503376.503420

[15] Leonard KaufmanJ. Rouseeuw Peter 1990 Finding Groups in Data: An Introduction to Cluster Analysis Hoboken, NJ: John Wiley & Sons, Inc.

[16] Andruid Kerne Andrew M. Webb Steven M. Smith Rhema Linder Nic Lupfer Yin Qu Jon Moeller, and Sashikanth Damaraju 2014 Using metrics of curation to evaluate information-based ideation ACM Trans. Comput.-Hum. Interact. 21 3, Article 14 (June 2014), 48 pages. DOI: http://dx.doi.org/10.1145/2591677

[17] P. Lloyd Stuart 1982 Least Squares Quantization in PCM IEEE Transactions on Information Theory 28 129–137.

[18] MATLAB 2017. Retrieved August 2017 from http://uk.mathworks.com/products/matlab.html

[19] Lizzie MullerErnest Edmonds 2006 Living Laboratories: Making and Curating Interactive Art In ACM SIGGRAPH 2006 Art gallery (SIGGRAPH '06). ACM, New York, NY, USA, Article 160. DOI=http://dx.doi.org/10.1145/1178977.1179120

[20] Anand Rajaraman Jeffrey David Ullman 2011 Mining of Massive Datasets. Cambridge University Press. DOI: http://doi.org/10.1017/CBO9781139058452

[21] Arvind Satyanarayan Maxine Lim, and Scott Klemmer 2012 A platform for large-scale machine learning on web design In CHI '12 Extended Abstracts on Human Factors in Computing Systems (CHI EA '12). ACM, New York, NY, USA 1697-1702. DOI: http://dx.doi.org/10.1145/2212776.2223695

[22] Stefania Serafin Karmen Franinovic Thomas Hermann Guillaume Lemaitre Michal Rinott, and Davide Rocchesso 2011 Sonic interaction design. In Thomas Hermann Andy Hunt, and John G. Neuhoff (Eds), The Sonification Handbook, Chapter 5, 87–110 Logos Publishing House Berlin.

[23] Simeon J Simoff Mary Lou Maher 2000 Analysing participation in collaborative design environments Design Studies 21(2), 119-144 Elsevier, ISSN 0142-694X

[24] Ben Shneiderman 2007 Creativity support tools: Accelerating discovery and innovation Communications of the ACM, 50(12):20–32.

[25] Jie Tang Jimeng Sun Chi Wang, and Zi Yang 2009 Social influence analysis in large-scale networks In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09) ACM, New York, NY, USA 807-816. DOI: http://doi.org/10.1145/1557019.1557108

[26] Gang Wang Xinyi Zhang Shiliang Tang Haitao Zheng, and Y. Zhao Ben 2016 Unsupervised Clickstream Clustering for User Behavior Analysis In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16) ACM, New York, NY, USA 225-236. DOI: http://doi.org/10.1145/2858036.2858107

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