Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-20T17:36:34.071Z Has data issue: false hasContentIssue false

Mediators of the relationship between physical indoor spaces and individual creativity

Published online by Cambridge University Press:  16 May 2024

Chris McTeague*
Affiliation:
Technical University of Munich, Germany
Katja Thoring
Affiliation:
Technical University of Munich, Germany

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.

Workspaces can enhance the creativity of the designers that occupy them. Here, we review experimental studies of creative spaces to identify constructs that mediate (explain) the relationship between physical spaces and creative performance. Through a literature review of 8 journal articles comprising 13 experiments, we identify 14 constructs involving cognitive, affective and physiological components. Knowledge of these mediators can help researchers to formulate hypotheses, select control variables, and develop conceptual models and theories of creative spaces in 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

Sanchez, Ayuso, Ikaga, J., Vega Sanchez, T., S., 2018. Quantitative improvement in workplace performance through biophilic design: A pilot experiment case study. Energy and Buildings 177, 316328. https://doi.org/10.1016/j.enbuild.2018.07.065CrossRefGoogle Scholar
Campbell, G., Hay, L., Duffy, A., Lyall, L., Mcteague, C., Vuletic, T., Grealy, M., 2023. Investigating the Cognitive Processes Involved in Design Ideation Using Psychological Tests. Design Computing and Cognition22 179196. https://doi.org/10.1007/978-3-031-20418-0_12CrossRefGoogle Scholar
Chan, J., Nokes-Malach, T., 2016. Situative Creativity: Larger Physical Spaces Facilitate Thinking of Novel Uses for Everyday Objects. The Journal of Problem Solving 9. https://doi.org/10.7771/1932-6246.1184CrossRefGoogle Scholar
Chulvi, V., Mulet, E., Chakrabarti, A., López-Mesa, B., González-Cruz, C., 2012. Comparison of the degree of creativity in the design outcomes using different design methods. Journal of Engineering Design 23, 241269. https://doi.org/10.1080/09544828.2011.624501CrossRefGoogle Scholar
Elliot, A.J., 2006. The Hierarchical Model of Approach-Avoidance Motivation. Motiv Emot 30, 111116. https://doi.org/10.1007/s11031-006-9028-7CrossRefGoogle Scholar
Fu, K., Chan, J., Cagan, J., Kotovsky, K., Schunn, C., Wood, K., 2013. The Meaning of “Near” and “Far”: The Impact of Structuring Design Databases and the Effect of Distance of Analogy on Design Output. Journal of Mechanical Design 135, 021007. https://doi.org/10.1115/1.4023158CrossRefGoogle Scholar
Gregor, S., 2006. The nature of theory in information systems. MIS quarterly 30, 611642.CrossRefGoogle Scholar
Hart, S.G., Staveland, L.E., 1988. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research, in: Hancock, P.A., Meshkati, N. (Eds.), Advances in Psychology, Human Mental Workload. North-Holland, pp. 139183. https://doi.org/10.1016/S0166-4115(08)62386-9Google Scholar
Lan, L., Hadji, S., Xia, L., Lian, Z., 2021. The effects of light illuminance and correlated color temperature on mood and creativity. Build. Simul. 14, 463475. https://doi.org/10.1007/s12273-020-0652-zCrossRefGoogle Scholar
Lee, J.H., Lee, S., 2023. Relationships between physical environments and creativity: A scoping review. Thinking Skills and Creativity 48, 101276. https://doi.org/10.1016/j.tsc.2023.101276CrossRefGoogle Scholar
Martens, Y., 2011. Creative workplace: Instrumental and symbolic support for creativity. Facilities 29, 6379. https://doi.org/10.1108/02632771111101331CrossRefGoogle Scholar
Mayer, R.E., Fiorella, L., 2014. 12 principles for reducing extraneous processing in multimedia learning: Coherence, signaling, redundancy, spatial contiguity, and temporal contiguity principles. The Cambridge handbook of multimedia learning 279.CrossRefGoogle Scholar
Mehta, R., Zhu, R. (Juliet), Cheema, A., 2012. Is Noise Always Bad? Exploring the Effects of Ambient Noise on Creative Cognition. J Consum Res 39, 784799. https://doi.org/10.1086/665048CrossRefGoogle Scholar
Meinel, M., Maier, L., Voigt, K., Wagner, T.F., Voigt, K., 2017. Designing Creativity-Enhancing Workspaces: A Critical Look at Empirical Evidence. Journal of Technology and Innovation Management 1, 112.Google Scholar
Moosavian, S., 2022. Explaining a Conceptual Model of Components Affecting Aesthetic Experience of Architecture in Cognitive Sciences. باغ نظر. https://doi.org/10.22034/bagh.2021.279519.4849CrossRefGoogle Scholar
Nijstad, B.A., Sroebe, W., 2006. How the Group Affects the Mind:A Cognitive Model of Idea Generation in Groups. Personality and Social Psychology Review 10, 186213. http://dx.doi.org/10.1207/s15327957pspr1003_1CrossRefGoogle Scholar
Oakley, B.A., 2014. A mind for numbers: How to excel at math and science (even if you flunked algebra). TarcherPerigee.Google Scholar
Rhodes, M., 1961. An Analysis of Creativity. The Phi Delta Kappan 42, 305310.Google Scholar
Runco, M.A., Jaeger, G.J., 2012. The Standard Definition of Creativity. Creativity Research Journal 24, 9296. https://doi.org/10.1080/10400419.2012.650092CrossRefGoogle Scholar
Sassenberg, K., Moskowitz, G.B., Fetterman, A., Kessler, T., 2017. Priming creativity as a strategy to increase creative performance by facilitating the activation and use of remote associations. Journal of Experimental Social Psychology 68, 128138.CrossRefGoogle Scholar
Shadish, W.R., Cook, T.D., Campbell, D.T., 2002. Experimental and quasi-experimental designs for generalized causal inference, Experimental and quasi-experimental design for causual inference. Boston: Houghton Mifflin,.Google Scholar
Shibata, S., Suzuki, N., 2004. Effects of an indoor plant on creative task performance and mood. Scandinavian Journal of Psychology 45, 373381. https://doi.org/10.1111/j.1467-9450.2004.00419.xCrossRefGoogle ScholarPubMed
Steidle, A., Werth, L., 2013. Freedom from constraints: Darkness and dim illumination promote creativity. Journal of Environmental Psychology 35, 6780. https://doi.org/10.1016/j.jenvp.2013.05.003CrossRefGoogle Scholar
Stein, M.I., 1953. Creativity and culture. The journal of psychology 36, 311322.CrossRefGoogle Scholar
Stone, N.J., Irvine, J.M., 1994. Direct or indirect window access, task type, and performance. Journal of Environmental Psychology 14, 5763. https://doi.org/10.1016/S0272-4944(05)80198-7CrossRefGoogle Scholar
Tachi, N., 2003. Validity of a newly developed questionnaire for evaluating work-related fatigue feeling, in: Brazil: 27th International Congress on Occupational Health.Google Scholar
Thoring, K., 2019. Designing creative space. Delft University of Technology. https://doi.org/10.4233/UUID:77070B57-9493-4AA6-A9A5-7FED52E45973CrossRefGoogle Scholar
Thoring, K., Gonçalves, M., Mueller, R.M., Desmet, P., Badke-Schaub, P., 2021. The Architecture of Creativity: Toward a Causal Theory of Creative Workspace Design. International Journal of Design 15, 1736.Google Scholar
Wu, Y., Lu, C., Yan, J., Chu, X., Wu, M., Yang, Z., 2021. Rounded or angular? How the physical work environment in makerspaces influences makers’ creativity. Journal of Environmental Psychology 73, 101546. https://doi.org/10.1016/j.jenvp.2020.101546CrossRefGoogle Scholar
Zahner, D., Nickerson, J.V., Tversky, B., Corter, J.E., Ma, J., 2010. A fix for fixation? Rerepresenting and abstracting as creative processes in the design of information systems. AI EDAM 24, 231244. https://doi.org/10.1017/S0890060410000077Google Scholar