Abstract
We introduce a novel convergent research framework based on context-aware, mobile brain–body imaging (MoBI) technology to track, record, and annotate the creative process of an artist as she conceived and created a new composition over a period of several months. We discuss behavioral, technological, scientific, and artistic challenges for the long-term study of creativity in complex natural settings.
We can try to use machines just as machines or as an extension of the body. It’s a question of attitude.
—Pipilotti Rist
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Video credit: Carlos Landa, University of Houston Cullen College of Engineering.
References
Abraham, A.: The Neuroscience of Creativity. Cambridge University Press, Cambridge (2018)
Arctander, S.: Perfume and Flavor Materials of Natural Origin. CreateSpace Independent Publishing Platform, Elizabeth, NJ (1960)
Beaty, R.E., Benedek, M., Wilkins, R.W., et al.: Creativity and the default network: a functional connectivity analysis of the creative brain at rest. Neuropsychologia (2014). https://doi.org/10.1016/j.neuropsychologia.2014.09.019
Bigdely-Shamlo, N., Mullen, T., Kothe, C., et al.: The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Front. Neuroinform. 9, 16 (2015). https://doi.org/10.3389/fninf.2015.00016
Bigdely-Shamlo, N., Touryan, J., Ojeda, A., et al.: Automated EEG mega-analysis I: spectral and amplitude characteristics across studies. BioRxiv 409631 (2018)
Contreras-Vidal, J.L., Cruz-Garza, J., Kopteva, A.: Towards a whole body brain-machine interface system for decoding expressive movement intent challenges and opportunities. In: 2017 5th International Winter Conference on Brain-Computer Interface (BCI), IEEE, pp. 1–4 (2017)
Cruz-Garza, J.G., et al.: Your brain on art: a new paradigm to study artistic creativity based on the ‘exquisite corpse’ using mobile brain-body imaging. In Brain Art, pp. 283–308. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14323-7_10
Cruz-Garza, J.G., Brantley, J.A., Nakagome, S., et al.: Deployment of mobile EEG technology in an art museum setting: evaluation of signal quality and usability. Front. Hum. Neurosci. 11 (2017a). https://doi.org/10.3389/fnhum.2017.00527
Cruz-Garza, J.G., Brantley, J.A., Nakagome, S., et al.: Mobile EEG Recordings in an Art Museum Setting. IEEE Dataport (2017b). https://doi.org/10.21227/h2tm00
Cruz-Garza, J.G., Hernandez, Z.R., Nepaul, S., et al.: Neural decoding of expressive human movement from scalp electroencephalography (EEG). Front. Hum. Neurosci. 8, 188 (2014). https://doi.org/10.3389/fnhum.2014.00188
Fleischhauer, J.A.: Media Sculpture & Installation Artist (2019). http://jofleischhauer.com/
Gilbert, D., Dibb, W.D., Plath, L.C., Hiyane, S.G.: Effects of nicotine and caffeine, separately and in combination, on EEG topography, mood, heart rate, cortisol, and vigilance. Psychophysiology 37, 583–595 (2000)
Goshvarpour, A., Abbasi, A., Goshvarpour, A.: Combination of sLORETA and nonlinear coupling for emotional EEG source localization. Nonlinear Dyn. Psychol. Life Sci. 20(3), 353–368 (2016)
Gramann, K., Ferris, D.P., Gwin, J., Makeig, S.: Imaging natural cognition in action. Int. J. Psychophysiol. 91, 22–29 (2014)
Kever, J.: Art and Science Come Together on the Dance Floor. TMC News (2015)
Kever, J.: Contemplating creativity. Univ. Houst. Mag. 62. Online PDF: https://issuu.com/uhmagazine/docs/uhmag_s2017_final.compressed?e=3877706/49165470. Online resource: https://www.uh.edu/magazine/2017-spring/contemplating-creativity/ (2017)
Kilicarslan, A., Contreras-Vidal, J.L.: Full characterization and removal of motion artifacts from scalp EEG recordings. In: 2017 International Symposium on Wearable Robotics and Rehabilitation (WeRob). IEEE, p. 1 (2017)
Kilicarslan, A., Grossman, R.G., Contreras-Vidal, J.L.: A robust adaptive denoising framework for real-time artifact removal in scalp EEG measurements. J. Neural Eng. 13, 026013 (2016). https://doi.org/10.1088/1741-2560/13/2/026013
Kleifges, K., Bigdely-Shamlo, N., Kerick, S.E., Robbins, K.A.: BLINKER: automated extraction of ocular indices from EEG enabling large-scale analysis. Front. Neurosci. 11, 12 (2017)
Kontson, K.L.K.L., Megjhani, M., Brantley, J.A.J.A., et al.: Your brain on art: emergent cortical dynamics during aesthetic experiences. Front. Hum. Neurosci. 9, 626 (2015). https://doi.org/10.3389/fnhum.2015.00626
Kovacevic, N., Ritter, P., Tays, W., et al.: ‘My Virtual Dream’: collective neurofeedback in an immersive art environment. PLoS ONE 10, e0130129 (2015)
Lotte, F., Bougrain, L., Cichocki, A., et al.: A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update. J. Neural Eng. 15(3), 031005 (2018)
Luu, T.P., Brantley, J.A., Nakagome, S., et al.: Electrocortical correlates of human level-ground, slope, and stair walking. PLoS One (2017). https://doi.org/10.1371/journal.pone.0188500
Mace, M.A., Ward, T.: Modeling the creative process: a grounded theory analysis of creativity in the domain of art making. Creat. Res. J. (2002). https://doi.org/10.1207/s15326934crj1402_5
Pickworth, W., Herning, R., Henningfield, J.: Spontaneous EEG changes during tobacco abstinence and nicotine substitution in human volunteers. J. Pharmacol. Exp. Ther. (1989). https://doi.org/10.1111/gbb.12420
Sujatha Ravindran, A., et al.: Assaying neural activity of children during video game play in public spaces: a deep learning approach. J. Neural Eng. 16(3), 036028 (2019). https://doi.org/10.1088/1741-2552/ab1876
Sujatha Ravindran, A., Cruz-Garza, J.G., Kopteva, A., et al.: Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children. IEEE Dataport (2017). https://doi.org/10.21227/H23W88
Takeuchi, H., Taki, Y., Hashizume, H., et al.: The association between resting functional connectivity and creativity. Cereb. Cortex (2012). https://doi.org/10.1093/cercor/bhr371
Todd, E., et al.: Self-conscience/physical memory: an immersive, kinetic art installation driven by real-time and archival EEG signals. In Brain Art, pp. 309–323. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14323-7_11
Zhang, Y., Prasad, S., Kilicarslan, A., Contreras-Vidal, J.L.: Multiple kernel based region importance learning for neural classification of gait states from EEG signals. Front. Neurosci. (2017). https://doi.org/10.3389/fnins.2017.00170
Acknowledgements
The authors thank the support of this research by the Cynthia Woods Mitchell Center for the Arts at the University of Houston for providing the artist with a research grant to conduct olfactory research and consult with orchid bee researcher, Dr. Santiago Ramirez, The Ramirez Lab, University of California Davis, Davis, CA; and the Institute of Art and Olfaction in Los Angeles, CA. Research funds for this project were provided by the National Science Foundation Award #BCS 1533691. Jeannie Kever conducted the interview with the artist, transcribed and adapted with permission.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
1 Electronic Supplementary Material
Below is the link to the electronic supplementary material.
Video credit: Carlos Landa, Cullen College of Engineering, University of Houston.
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Cruz-Garza, J.G., Kopteva, A.E., Fleischhauer, J.A., Contreras-Vidal, J.L. (2019). Into the Mind of an Artist: Convergent Research at the Nexus of Art, Science, and Technology. In: Contreras-Vidal, J., Robleto, D., Cruz-Garza, J., Azorín, J., Nam, C. (eds) Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity. Springer Series on Bio- and Neurosystems, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-24326-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-24326-5_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-24325-8
Online ISBN: 978-3-030-24326-5
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)