Correlation Between Co-Design and Psychological Need Satisfaction Based on fNIRs Hyperscanning
Source abstract
Abstract
With the increasing attention paid to user-oriented design and services, the term co-design, a form of user-participatory design, is increasingly mentioned. Previous studies have shown that co-design could better satisfy user needs in process and results, but there are few studies that have been empirically validated through neuroscience methods. Therefore, this study used fNIRS (functional near-infrared spectroscopy) to measure the brain blood oxygen data (HbO2 & Hb) of both “designer” and “user” participants from design and non-design majors during traditional and co-design tasks. The IBS (inter-brain synchronization) between participants was calculated using a wavelet coherence package in Matlab. Research has found significant consistency of DLPFC (dorsolateral prefrontal cortex) and BROCA (pars triangularis Broca’s area) was observed in both tasks, with more significance observed in co-design tasks, and IBS activation was significantly positively correlated with need satisfaction rate. The results showed that co-design could better activate DLPFC and BROCA brain regions compared to traditional design, which further supports previous research and expands the possibility of collaborative task paradigms. The increase in co-design IBS compared to traditional design also represents better collaborative performance, and could provide empirical evidence for participatory design based on neuroimaging.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Color perception and design · Virtual Reality Applications and Impacts
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
Funding
Humanities and Social Science Research Project of the Ministry of Education · Cooperative Research Project between CRRC Zhuzhou Locomotive and Huaqiao University · 2019 Natural Science Foundation Program, Fujian Province, China · 2024 Ministry of Education Humanities and Social Sciences Research Art Studies Planning Fund Project: Neurobehavioral Empirical Research on Participatory Design Targeting Users’ Implicit Aesthetic Needs
References (40)
Show source-provided references
1. Consumer Cocreation in New Product Development10.1177/1094670510375604 ↗
2. Schuler, D., and Namioka, A. (1993). Participatory Design: Principles and Practices, Lawrence Erlbaum Associates, Inc.
3. Storytelling Group—A co-design method for service design10.1080/0144929X.2011.563794 ↗
4. Creating conditions for participation: Conflicts and resources in systems design10.1207/s15327051hci1103_2 ↗
5. Cross, N., and Society, D.R. (1972). Design Participation: Proceedings of the Design Research Society’s Conference, Manchester, September 1971, Design Research Society.
6. The Methodology of Participatory Design
7. Czyzewski, P., Johnson, J., and Roberts, E. (April, January 31). Introduction: Purpose of pdc-90. Proceedings of the PDC Conference Participatory Design, Seattle, WA, USA.
8. Science as Argument: Implications for Teaching and Learning Scientific Thinking
9. Acceptable Input: Using Decision Analysis to Guide Public Policy Deliberations10.1287/deca.1050.0035 ↗
10. Kanstrup, A.M. (2012). A small matter of design: An analysis of end users as designers. Proceedings of the 12th Participatory Design Conference: Research Papers—Volume 1, ACM.10.1145/2347635.2347651 ↗
11. Engaging citizens in the smart city through participation platforms: A framework for public servants and developers10.1016/j.chb.2021.106901 ↗
12. Participatory design and evaluation of virtual reality physical rehabilitation for people living with dementia10.1007/s10055-022-00639-1 ↗
13. Funane, T., Kiguchi, M., Atsumori, H., Sato, H., Kubota, K., and Koizumi, H. (2011). Synchronous activity of two people’s prefrontal cortices during a cooperative task measured by simultaneous near-infrared spectroscopy. J. Biomed. Opt., 16.10.1117/1.3602853 ↗
14. Centrality of Social Interaction in Human Brain Function10.1016/j.neuron.2015.09.022 ↗
15. A new research trend in social neuroscience: Towards an interactive-brain neuroscience10.1002/pchj.56 ↗
16. Magnetoencephalography: From SQUIDs to neuroscience: Neuroimage 20th Anniversary Special Edition10.1016/j.neuroimage.2011.11.074 ↗
17. Hyperscanning: Simultaneous fMRI during Linked Social Interactions10.1006/nimg.2002.1150 ↗
18. Hyperscanning neuroimaging technique to reveal the “two-in-one” system in social interactions10.1016/j.neures.2014.11.006 ↗
19. From social behaviour to brain synchronization: Review and perspectives in hyperscanning10.1016/j.irbm.2011.01.002 ↗
20. In Vivo Near-Infrared Spectroscopy10.1146/annurev.bioeng.2.1.715 ↗
21. Illuminating the Black Box: Investigating Prefrontal Cortical Hemodynamics during Exercise with Near-Infrared Spectroscopy10.1123/jsep.31.4.505 ↗
22. Frontopolar activation during face-to-face conversation: An in situ study using near-infrared spectroscopy10.1016/j.neuropsychologia.2009.09.036 ↗
23. Functional imaging of ‘theory of mind’10.1016/S1364-6613(02)00025-6 ↗
24. On the Regulation of the Blood-supply of the Brain10.1113/jphysiol.1890.sp000321 ↗
25. A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology10.1016/j.neuroimage.2013.05.004 ↗
26. A Practical Guide to Wavelet Analysis10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2 ↗
27. Time–frequency dynamics of resting-state brain connectivity measured with fMRI10.1016/j.neuroimage.2009.12.011 ↗
28. Putting our heads together: Interpersonal neural synchronization as a biological mechanism for shared intentionality10.1093/scan/nsy060 ↗
29. When do we fall in neural synchrony with others?10.1093/scan/nsz012 ↗
30. Praising or keeping silent on partner’s ideas: Leading brainstorming in particular ways10.1016/j.neuropsychologia.2019.01.004 ↗
31. Cooperation Makes a Group be More Creative10.1093/cercor/bhy215 ↗
32. Gender of partner affects the interaction pattern during group creative idea generation10.1007/s00221-020-05799-7 ↗
33. Cooperation makes two less-creative individuals turn into a highly-creative pair10.1016/j.neuroimage.2018.02.007 ↗
34. What has social neuroscience learned from hyperscanning studies of spoken communication? A systematic review10.1016/j.neubiorev.2020.09.008 ↗
35. Signal processing of functional NIRS data acquired during overt speaking10.1117/1.NPh.4.4.041409 ↗
36. Functional brain imaging of walking while talking—An fNIRS study10.1016/j.neuroscience.2016.11.032 ↗
37. Huang, W., Li, X., Xie, H., Qiao, T., Zheng, Y., Su, L., Tang, Z.-M., and Dou, Z. (2022). Different Cortex Activation and Functional Connectivity in Executive Function Between Young and Elder People During Stroop Test: An fNIRS Study. Front. Aging Neurosci., 14.10.3389/fnagi.2022.864662 ↗
38. Educational diversity and group creativity: Evidence from fNIRS hyperscanning10.1016/j.neuroimage.2021.118564 ↗
39. The hyper-brain neural couplings distinguishing high-creative group dynamics: An fNIRS hyperscanning study10.1093/cercor/bhac161 ↗
40. Real-life creative problem solving in teams: fNIRS based hyperscanning study10.1016/j.neuroimage.2019.116161 ↗