Hostname: page-component-848d4c4894-2xdlg Total loading time: 0 Render date: 2024-06-17T07:40:31.638Z Has data issue: false hasContentIssue false

Characteristics of paralinguistic communication indicating pre-resonance during co-creative design grasped by decision tree analysis

Published online by Cambridge University Press:  16 May 2024

Karen Shichijo
Affiliation:
Kyushu University, Japan
Akane Matsumae*
Affiliation:
Kyushu University, Japan

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The study aims to grasp the dynamic characteristics of paralinguistic communication during co-creation and has developed an analysis methodology by clustering the conversational patterns and determining the criteria more often observed in pre-resonance. The results suggest that pre-resonance is characterized by less silence, a rapid transition in exchanging ideas under one's initiative, and a conversation with equal amounts of utterances between both in a pair. This study reveals implications for better communication that lead to resonance, an essential phenomenon in collaborative design.

Type
Human Behaviour and Design Creativity
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

References

Antoniou, R., Dekoninck, E. and Bonvoisin, J. (2019), “Exploring the role of linguistic abstraction in idea-generation sessions”, Proceedings of the International Conference on Engineering Design, ICED, Vol. 2019-August, Cambridge University Press, pp. 329338, https://dx.doi.org/10.1017/dsi.2019.36.Google Scholar
Bilda, Z., Edmonds, E. and Candy, L. (2008), “Designing for creative engagement”, Design Studies, Vol. 29 No. 6, https://dx.doi.org/10.1016/j.destud.2008.07.009.CrossRefGoogle Scholar
Breiman, L., Friedman, J.H., Olshen, R.A. and Stone, C.J. (2017), Classification and Regression Trees, Classification and Regression Trees, https://dx.doi.org/10.1201/9781315139470.CrossRefGoogle Scholar
Csikszentmihalyi, M. (2014), “Implications of a Systems Perspective for the Study of Creativity”, Handbook of Creativity, https://dx.doi.org/10.1017/cbo9780511807916.018.CrossRefGoogle Scholar
Cuturi, M. and Blondel, M. (2017), “Soft-DTW: A differentiable loss function for time-series”, 34th International Conference on Machine Learning, ICML 2017, Vol. 2.Google Scholar
Depraz, N. and Cosmelli, D. (2003), “Empathy and Openness: Practices of Intersubjectivity at the Core of the Science of Consciousness”, Canadian Journal of Philosophy Supplementary Volume, Vol. 29, https://dx.doi.org/10.1080/00455091.2003.10717598.CrossRefGoogle Scholar
Ehkirch, Q. and Matsumae, A. (2024), “Understanding the influence of interpersonal factors on interactions in co-design through intersubjectivity: a systematic literature review”, Design Science, Vol.10 No. e4, https://dx.doi.org/10.1017/dsj.2024.1.CrossRefGoogle Scholar
Gonçalves, M., Cardoso, C. and Badke-Schaub, P. (2013), “Inspiration peak: Exploring the semantic distance between design problem and textual inspirational stimuli”, International Journal of Design Creativity and Innovation, Vol. 1 No. 4, https://dx.doi.org/10.1080/21650349.2013.799309.CrossRefGoogle Scholar
Kraus, M.W. (2017), “Voice-only communication enhances empathic accuracy”, American Psychologist, Vol. 72 No. 7, https://dx.doi.org/10.1037/amp0000147.CrossRefGoogle ScholarPubMed
Markou, M. and Singh, S. (2003), “Novelty detection: A review - Part 1: Statistical approaches”, Signal Processing, Vol. 83 No. 12, https://dx.doi.org/10.1016/j.sigpro.2003.07.018.Google Scholar
Matsumae, A. and Nagai, Y. (2018), “The function of co-creation in dynamic mechanism of intersubjectivity formation among individuals”, Proceedings of International Design Conference, DESIGN, Vol. 4, https://dx.doi.org/10.21278/idc.2018.0141.CrossRefGoogle Scholar
Matsumae, A. Matsumae, S. and Nagai, Y. (2020), “Dynamic relationship design of knowledge co-creating cluster: traditional Japanese architectural industry”, SN Applied Science, Vol. 2 No. 443, doi.org/10.1007/s42452-020-2209-2CrossRefGoogle Scholar
Matsumae, A., Shoji, K. and Motomura, Y. (2022), “An Attempt to Grasp Resonance during Co-Creation with Biosignal Indicators”, Proceedings of the Design Society, Vol. 2, https://dx.doi.org/10.1017/pds.2022.94.CrossRefGoogle Scholar
Nagai, Y. (2014), “A Sense of Design: The Embedded Motives of Nature, Culture, and Future”, Principia Designae – Pre-Design, Design, and Post-Design: Social Motive for the Highly Advanced Technological Society, https://dx.doi.org/10.1007/978-4-431-54403-6_4.CrossRefGoogle Scholar
Nagai, Y., Candy, L. and Edmonds, E. (2003), “Representations of Design Thinking- A Review of Recent Studies”, Journal of the Asian Design International Conference, Vol. 1 No. 341.Google Scholar
Nagai, Y. and Taura, T. (2017), “Critical Issues of Advanced Design Thinking: Scheme of Synthesis, Realm of Out-Frame, Motive of Inner Sense, and Resonance to Future Society”, https://dx.doi.org/10.1007/978-981-10-7524-7_8.CrossRefGoogle Scholar
Park, J.R. (2007), “Interpersonal and affective communication in synchronous online discourse”, Library Quarterly, Vol. 77 No. 2, https://dx.doi.org/10.1086/517841.CrossRefGoogle Scholar
Patricia, A. St. John (2007), “Interactive and Emergent Processes: Possibilities and Problems in Group Creativity”, Mind, Culture, and Activity, Vol. 14 No. 4, https://dx.doi.org/10.1080/10749030701623847.Google Scholar
Petitjean, F., Ketterlin, A. and Gançarski, P. (2011), “A global averaging method for dynamic time warping, with applications to clustering”, Pattern Recognition, Vol. 44 No. 3, https://dx.doi.org/10.1016/j.patcog.2010.09.013.CrossRefGoogle Scholar
Sanders, R.E. (1984), “Style, meaning, and message effects”, Communication Monographs, Vol. 51 No. 2, https://dx.doi.org/10.1080/03637758409390191.CrossRefGoogle Scholar
Sawyer, R.K. (2011), Explaining Creativity: The Science of Human Innovation, 2nd ed., Oxford University Press, New York.Google Scholar
Schuller, B., Steidl, S., Batliner, A., Burkhardt, F., Devillers, L., Müller, C. and Narayanan, S. (2013), “Paralinguistics in speech and language - State-of-the-art and the challenge”, Computer Speech and Language, Vol. 27 No. 1, https://dx.doi.org/10.1016/j.csl.2012.02.005.CrossRefGoogle Scholar
Shah, A., Huidobro Pereda, A. and Gonçalves, M. (2019), “Sprinting out of stuckness: Overcoming moments of stuckness to support the creativity flow in agile team settings”, Proceedings of the International Conference on Engineering Design, ICED, Vol. 2019-August, https://dx.doi.org/10.1017/dsi.2019.241.Google Scholar
Shoji, K., Sawai, K. and Matsumae, A. (2023), “Creative States Estimation and Resonance Detection using Hidden Markov Models”, Journal of Japan Creativity Society, Vol. 26 No. 1, pp. 118136, https://doi.org/10.24578/japancreativity.26.0_118.Google Scholar
Taura, T. and Nagai, Y. (2009), “A Definition of Design and Its Creative Features”, Iasdr2009.Google Scholar
Taura, T., Yamamoto, E., Fasiha, M.Y.N., Goka, M., Mukai, F., Nagai, Y. and Nakashima, H. (2012), “Constructive simulation of creative concept generation process in design: A research method for difficult-to-observe design-thinking processes”, Journal of Engineering Design, Vol. 23 No. 4, https://dx.doi.org/10.1080/09544828.2011.637191.CrossRefGoogle Scholar
Won, A.S., Bailenson, J.N., Stathatos, S.C. and Dai, W. (2014), “Automatically Detected Nonverbal Behavior Predicts Creativity in Collaborating Dyads”, Journal of Nonverbal Behavior, Vol. 38 No. 3, https://dx.doi.org/10.1007/s10919-014-0186-0.CrossRefGoogle Scholar
Woodman, R.W., Sawyer, J.E. and Griffin, R.W. (1993), “Toward a Theory of Organizational Creativity”, Academy of Management Review, Vol. 18 No. 2, pp. 293321, https://dx.doi.org/10.5465/amr.1993.3997517.CrossRefGoogle Scholar
Zhou, L., Burgoon, J.K., Zhang, D. and Nunamaker, J.F. (2004), “Language dominance in interpersonal deception in computer-mediated communication”, Computers in Human Behavior, Vol. 20 No. 3, https://dx.doi.org/10.1016/S0747-5632(03)00051-7.CrossRefGoogle Scholar