Abstract
As rapidly advancing technologies become more widely available, having access to tools that collect biometric data and in particular BCI technology, is providing artists with new ways of exploring our biological selves as well as creating new modes of audience interaction. Brainlight is a large illuminated interactive sculpture that integrates biology, lighting design and BCI technology to explore the hidden aspects of our minds. The installation is controlled with a wireless EMOTIV EPOC+ EEG headset that detects live neural activity which is translated into a light display within the brain sculpture. In real time it visualises the brain frequencies of Theta (3.5–7.5 Hz) as green light, Alpha (7.5–13 Hz) as blue light, and Beta (16–32 Hz) as red light. Previously, in more traditional art, when an audience views an artwork their own psychological process would be a passive, hidden, private experience. The aim of Brainlight is to harness the brain as the creator of an interactive art experience where no physical interplay is required except for the electrical activity of the mind. The project exposes some key developments in the use of BCI technology for artistic purposes, such as how to accurately collect and process EEG data aesthetically, and what license the artist can take with this data in order to facilitate meaning or allow space for the audience to bring their own meaning to the work. This chapter will explore these developments and outline the collaborative process behind the research and development of the work and the contexts in which it has subsequently been exhibited and used by the public.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Adrian E, Matthews B (1934) The Berger rhythm: potential changes from the occipital lobes in man. Brain 57:355–385. https://doi.org/10.1093/Brain/57.4.355
Ahani A, Wahbeh H, Nezamfar H et al (2014) Quantitative change of EEG and respiration signals during mindfulness meditation. J NeuroEng Rehabil 11:87. https://doi.org/10.1186/1743-0003-11-87
Alonso J, Romero S, Ballester M et al (2015) Stress assessment based on EEG univariate features and functional connectivity measures. Physiol Meas 36:1351–1365. https://doi.org/10.1088/0967-3334/36/7/1351
(2014) Amnesia Lab. UNSW Art & Design. In: Artdesign.unsw.edu.au. https://artdesign.unsw.edu.au/unsw-galleries/amnesia-lab. Accessed 26 Jan 2019
Anadol R (2017) In: Refikanadol.com. http://refikanadol.com/works/melting-memories/. Accessed 13 Dec 2018
Ascott R (1999) The technoetic predicate. Leonardo 32:219–220. https://doi.org/10.1162/leon.1999.32.3.219
Barry A (2006) Perceptual aesthetics: transcendent emotion, neurological image. Vis Commun Q 13:134–151. https://doi.org/10.1207/s15551407vcq1303_2
Brookes M (2018) Giant brain to light up Royal Society Summer Science Exhibition—The University of Nottingham. In: Nottingham.ac.uk. https://www.nottingham.ac.uk/news/pressreleases/2018/june/giant-brain-to-light-up-royal-society-summer-science-exhibition.aspx. Accessed 30 Jan 2019
Cahn B, Polich J (2006) Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychol Bull 132:180–211. https://doi.org/10.1037/0033-2909.132.2.180
Cavanagh J, Zambrano-Vazquez L, Allen J (2011) Theta lingua franca: a common mid-frontal substrate for action monitoring processes. Psychophysiol 49:220–238. https://doi.org/10.1111/j.1469-8986.2011.01293.x
Chanda M, Levitin D (2013) The neurochemistry of music. Trends Cogn Sci 17:179–193. https://doi.org/10.1016/j.tics.2013.02.007
Chiesa A, Serretti A (2009) A systematic review of neurobiological and clinical features of mindfulness meditations. Psychol Med 40:1239–1252. https://doi.org/10.1017/s0033291709991747
Cross I (2006) Music, cognition, culture, and evolution. Ann N Y Acad Sci 930:28–42. https://doi.org/10.1111/j.1749-6632.2001.tb05723.x
Duenyas Y (2011) The ascent mind controlled levitation ride—Yehuda Duenyas. In: Yehuda Duenyas. https://xxxyehuda.com/theascent/. Accessed 26 Jan 2019
Dunn M (2013) What is the relationship between art and ethics? In: Theory of knowledge. https://www.theoryofknowledge.net/areas-of-knowledge/the-arts/what-is-the-relationship-between-art-and-ethics/. Accessed 15 Dec 2018
Duvinage M, Castermans T, Petieau M et al (2013) Performance of the Emotiv Epoc headset for P300-based applications. BioMedical Eng OnLine 12:56. https://doi.org/10.1186/1475-925x-12-56
Ekman P (1994) Strong evidence for universals in facial expressions: a reply to Russell’s mistaken critique. Psychol Bull 115:268–287. https://doi.org/10.1037/0033-2909.115.2.268
Ekman U, Rokeby D (2014) Transformations of transforming mirrors: an interview with David Rokeby. Postmod Cult. https://doi.org/10.1353/pmc.2014.0004
Else J, Ellis J, Orme E (2015) Art expertise modulates the emotional response to modern art, especially abstract: an ERP investigation. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2015.00525
Fleck S, Simon G (2013) An augmented reality environment for astronomy learning in elementary grades. In: Proceedings of the 25th ICME conference francophone on l‘Interaction Homme-Machine—IHM ‘13. https://doi.org/10.1145/2534903.2534907
Frey J, Gervais R, Fleck S et al (2014) Teegi: tangible EEG interface. In: UIST-ACM user interface software and technology symposium
Gruzelier J (2008) A theory of alpha/theta neurofeedback, creative performance enhancement, long distance functional connectivity and psychological integration. Cogn Process 10:101–109. https://doi.org/10.1007/s10339-008-0248-5
Gruzelier J (2014) EEG-neurofeedback for optimising performance. II: Creativity, the performing arts and ecological validity. Neurosci Biobehav Rev 44:142–158. https://doi.org/10.1016/j.neubiorev.2013.11.004
Gruzelier J, Hirst L, Holmes P, Leach J (2014) Immediate effects of alpha/theta and sensory-motor rhythm feedback on music performance. Int J Psychophysiol 93:96–104. https://doi.org/10.1016/j.ijpsycho.2014.03.009
Gsöllpointner K (2016) Syn-aesthetics of digital art. In: Gsöllpointner K, Schnell R, Schuler R (eds) Digital synesthesia: a model for the aesthetics of digital art, 1st edn. De Gruyter, Berlin, Bostonpp 10–28
Guljajeva V, Canet M, Mealla S (2018) NeuroKnitting | Varvara & Mar. In: Varvara & Mar. http://www.varvarag.info/neuroknitting/. Accessed 13 Dec 2018
Gürkök H, Nijholt A (2013) Affective brain-computer interfaces for arts. In: 2013 Humaine Association conference on affective computing and intelligent interaction. https://doi.org/10.1109/acii.2013.155
Hammond D (2007) What is neurofeedback? J Neurother 10:25–36. https://doi.org/10.1300/j184v10n04_04
Harvey A (2018) Music and the meeting of human minds. Front Psychol. https://doi.org/10.3389/fpsyg.2018.00762
Heanue M (2018) Group overview ‹ Affective computing—MIT Media Lab. In: MIT Media Lab. https://www.media.mit.edu/groups/affective-computing/overview/. Accessed 16 Dec 2018
Herrmann C, Strüber D, Helfrich R, Engel A (2016) EEG oscillations: from correlation to causality. Int J Psychophysiol 103:12–21. https://doi.org/10.1016/j.ijpsycho.2015.02.003
Hinterberger T, Fürnrohr E (2016) The sensorium: psychophysiological evaluation of responses to a multimodal neurofeedback environment. Appl Psychophysiol Biofeedback 41:315–329. https://doi.org/10.1007/s10484-016-9332-2
Hjelm S, Browall C (2000) Brainball-using brain activity for cool competition. In: NordiCHI, pp 177–178
Kawasaki M, Kitajo K, Yamaguchi Y (2010) Dynamic links between theta executive functions and alpha storage buffers in auditory and visual working memory. Eur J Neurosci. https://doi.org/10.1111/j.1460-9568.2010.07217.x
Khare KC, Nigam SK (2000) A study of electroencephalogram in meditators. Indian J Physiol Pharmacol 44:173–178
Khut G (2015) Behind your eyes, between your ears: neurofeedback portrait project. In: George Khut. http://www.georgekhut.com/behind-your-eyes-between-your-ears/. Accessed 25 Jan 2019
Khut G (2006) Development and evaluation of participant-centred biofeedback artworks. Doctor of Creative Arts (DCA), University of Western Sydney
Kleinsmith A, Bianchi-Berthouze N (2013) Affective body expression perception and recognition: a survey. IEEE Trans Affect Comput 4:15–33. https://doi.org/10.1109/t-affc.2012.16
Klimesch W (1999) EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev 29:169–195. https://doi.org/10.1016/s0165-0173(98)00056-3
Lancel K, Maat H (2014) Lancel/Maat—E.E.G. KISS. In: Lancelmaat.nl. https://www.lancelmaat.nl/work/e.e.g-kiss/. Accessed 26 Jan 2019
Leslie G, Mullen T (2011) MoodMixer: EEG-based collaborative sonification. In: Proceedings of the international conference on new interfaces for musical expression, pp 296–299
Lucier A (1976) Statement on: music for solo performer. In: Rosenboom D (ed) Biofeedback and the arts, results of early experiments, 1st edn. Aesthetic Research Center of Canada, Vancouver, pp 60–61
Lutz A, Dunne J, Davidson R (2007) Meditation and the neuroscience of consciousness: an introduction. Camb Handb Conscious 499–552. https://doi.org/10.1017/cbo9780511816789.020
Mantini D, Perrucci M, Del Gratta C et al (2007) Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci 104:13170–13175. https://doi.org/10.1073/pnas.0700668104
Maskeliunas R, Damasevicius R, Martisius I, Vasiljevas M (2016) Consumer grade EEG devices: are they usable for control tasks? PeerJ 4:e1746. https://doi.org/10.7717/peerj.1746
Menon S, Sinha A, Sreekantan B (2014) Interdisciplinary perspectives on consciousness and the self, 1st edn, pp 1–8
Mercier-Ganady J, Lotte F, Loup-Escande E et al (2014) The mind-mirror: see your brain in action in your head using EEG and augmented reality. In: 2014 IEEE virtual reality (VR). https://doi.org/10.1109/vr.2014.6802047
Molina G, Tsoneva T, Nijholt A (2009) Emotional brain-computer interfaces. In: 2009 3rd international conference on affective computing and intelligent interaction and workshops. https://doi.org/10.1109/acii.2009.5349478
Moritz J (2017) Augmented humanity. Technoetic Arts 15:341–352. https://doi.org/10.1386/tear.15.3.341_1
Mullen T, Khalil A, Ward T et al (2015) MindMusic: playful and social installations at the interface between music and the brain. In: Nijholt A (ed) More playful user interfaces. Interfaces that invite social and physical interaction, 1st edn. Springer, Singapore, pp 197–229
Muller L, Bennett J, Froggett L, Bartlett V (2015) Understanding third space: evaluating art-science collaboration. In: 21st international symposium of electronic art
Muller L, Froggett L, Bennett J (2018) Emergent knowledge in the third space of art-science. Leonardo 1–11. https://doi.org/10.1162/leon_a_01690
Mühl C, Allison B, Nijholt A, Chanel G (2014) A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges. Brain Comput Interfaces 1:66–84. https://doi.org/10.1080/2326263x.2014.912881
NEURON (2018) Blogul UMF » NEURON 2018. In: Blog.umftgm.ro. https://blog.umftgm.ro/tag/neuron-2018/. Accessed 10 Oct 2018
Nijboer F, Clausen J, Allison B, Haselager P (2011) The Asilomar survey: stakeholders’ opinions on ethical issues related to brain-computer interfacing. Neuroethics 6:541–578. https://doi.org/10.1007/s12152-011-9132-6
Papatheodorou T, Chambers T (2018) Random quark—creative technology studio. In: Randomquark.com. http://randomquark.com/case-studies/mindswarms.html. Accessed 13 Dec 2018
Park L (2014) Lisa Park. In: Lisa Park. http://www.thelisapark.com/#/eunoia-ii/. Accessed 13 Dec 2018
Pearlman E (2017) Brain opera: exploring surveillance in 360-degree immersive theatre. PAJ: J Perform Art 39:79–85. https://doi.org/10.1162/pajj_a_00367
Peper E, Ancoli-Israel S, Quinn M (1979) Mind/Body integration: essential readings in biofeedback, 1st edn. Plenum Press, New York
Perkins D (1994) The intelligent eye: learning to think by looking at art. Getty Center for Education in the Arts, Santa Monica, Calif
Popian I (2014) iondesign | PROJECTS. In: iondesign. http://www.ionarch.com/projects. Accessed 13 Dec 2018
Ray W, Cole H (1985) EEG alpha activity reflects attentional demands, and beta activity reflects emotional and cognitive processes. Science 228:750–752. https://doi.org/10.1126/science.3992243
Rokeby D (1995) Transforming mirrors: subjectivity and control in interactive media. In: Penny S (ed) Critical issues in electronic media, 1st edn. Suny Press, pp 133–158
Schroeder A (2018) Schroeder-lab. In: Schroeder-lab. https://www.schroederlab.com/. Accessed 10 Oct 2018
Schroeder A. Avi Schroeder - https://chemeng.technion.ac.il/avi-schroeder/. Accessed 10 Oct 2018
Sherry J (2015) Neuroscience and communication. Commun Methods Meas 9:117–122. https://doi.org/10.1080/19312458.2014.999756
Sobell N (2019) Nina Sobell: artist statement http://ninasobell.com. Accessed 25 Jan 2019
Silvia P (2005) Emotional responses to art: from collation and arousal to cognition and emotion. Rev Gen Psychol 9:342–357. https://doi.org/10.1037/1089-2680.9.4.342
Stamps K, Hamam Y (2010) Towards inexpensive BCI control for wheelchair navigation in the enabled environment—a hardware survey. In: International conference on brain informatics. Springer, Berlin, Heidelberg, pp 336–345
Tamburrini G (2009) Brain to computer communication: ethical perspectives on interaction models. Neuroethics 2:137–149. https://doi.org/10.1007/s12152-009-9040-1
Vygandas Š (2018) Humanizing technology through post-digital art. PhD, KTH Royal Institute of Technology
Wadeson A, Nijholt A, Nam C (2015) Artistic brain-computer interfaces: state-of-the-art control mechanisms. Brain Comput Interfaces 2:70–75. https://doi.org/10.1080/2326263x.2015.1103155
Wellington J (1990) Formal and informal learning in science: the role of the interactive science centres. Phys Educ 25:247–252. https://doi.org/10.1088/0031-9120/25/5/307
Zioga P, Chapman P, Ma M, Pollick F (2014) A wireless future: performance art, interaction and the brain-computer interfaces. In: Proceedings of Inter-Face: international conference on live interfaces (ICLI 2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Jade, L., Gentle, S. (2019). New Ways of Knowing Ourselves. BCI Facilitating Artistic Exploration of Our Biology. In: Nijholt, A. (eds) Brain Art. Springer, Cham. https://doi.org/10.1007/978-3-030-14323-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-14323-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-14322-0
Online ISBN: 978-3-030-14323-7
eBook Packages: Computer ScienceComputer Science (R0)