Can Brain-Computer Interface Predict Change in Anxiety During an Art Experience? Preliminary data from the ASBA project

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Can Brain-Computer Interface Predict Change in Anxiety During an Art Experience? Preliminary data from the ASBA project

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Author(s): Raffaella Folgieri , Annalisa Banzi , Maria E. Vanutelli , Vincenza Ferrara , Claudio Lucchiari

Publication date (Print): July 2024

Conference name: Proceedings of EVA London 2024 (EVA 2024)

Conference theme: Since 1990, the EVA London Conference has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences in the field of digital visualisation. The papers and abstracts in this volume cover areas such as the arts, culture, heritage, museums, music, performance, visual art, and visualisation, as well as related interdisciplinary areas, in combination with technology. The latest research and work by early career researchers, established scholars, practitioners, research students, and visual artists, can be found in this volume, published in full colour.

Conference date: 8–12 July 2024

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Raffaella Folgieri

Annalisa Banzi

Maria E. Vanutelli

Vincenza Ferrara

Claudio Lucchiari

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Publication date: July 2024

Publication date (Print): July 2024

Pages: 165-167

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[0001]Università degli Studi di Milano

Milan, Italy

[0002]Università di Milano-Bicocca

Milan, Italy

[0003]Università La Sapienza Rome

Italy

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DOI: 10.14236/ewic/EVA2024.29

SO-VID: e90ca100-ed7c-4b20-be4d-dcce1a4e39f2

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of EVA London 2024

Conference acronym: EVA 2024

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Conference location: London

Conference date: 8–12 July 2024

Conference sponsor: Electronic Workshops in Computing (eWiC)

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2024.29

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

Banzi, A., Ferrara, V. Folgieri, R. Lucchiari, C., Riva, Sironi, V. A., Vanutelli, M.E. (2023) Well-Being in the Museums: The ASBA Project Research Protocol (June 12, 2023). Available at SSRN: https://ssrn.com/abstract=4476434
Cao, Z. (2020) A review of artificial intelligence for EEG‐based brain− computer interfaces and applications. Brain Science Advances, 6(3), 162-170.
Chatterjee, H., and Noble, G. (2013) Museums, health and wellbeing. (London: Ashgate Publishing), 2013. 158 pages. Curator Mus. J. 57, 513–519.
Fancourt D., Bone J. K., Bu F., Mak H. W., Bradbury A. (2023) The Impact of Arts and Cultural Engagement on Population Health: Findings from Major Cohort Studies in the UK and USA 2017 – 2022. London: UCL, March 2023.
Johansson, S. E., Konlaan, B. B., & Bygren, L. O. (2001) Sustaining habits of attending cultural events and maintenance of health: a longitudinal study. Health Promotion International, 16(3), 229-234.
Neumann, D. L., Chan, R. C., Boyle, G. J., Wang, Y., & Westbury, H. R. (2015) Measures of empathy: Self-report, behavioral, and neuroscientific approaches. Measures of personality and social psychological constructs, 257-289.
Nijholt, A., Jacob, R. J., Andujar, M., Yuksel, B. F., & Leslie, G. (2018) Brain-computer interfaces for artistic expression. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-7).
Sharma, A., & Singh, M. (2015, September) Assessing alpha activity in attention and relaxed state: An EEG analysis. In 2015 1st International Conference on Next Generation Computing Technologies (NGCT) (pp. 508-513). IEEE.
Spielberger, C. D., Gonzalez-Reigosa, F., Martinez-Urrutia, A., Natalicio, L. F., & Natalicio, D. S. (1971) The state-trait anxiety inventory. Interamerican journal of psychology, 5(3 & 4).
Torres, E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2020) EEG-based BCI emotion recognition: A survey. Sensors, 20(18), 5083.
Van Hecke M., A. V., & Konopka, L. M. (2014) Effects of drawing on alpha activity: A quantitative EEG study with implications for art therapy. Art Therapy, 31(2), 61-68.
Vanutelli, M. E., Salvadore, M., & Lucchiari, C. (2023) BCI Applications to Creativity: Review and Future Directions, from little-c to C2. Brain Sciences, 13(4), 665. doi.org/10.3390/brainsci13040665

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[1] Banzi, A., Ferrara, V. Folgieri, R. Lucchiari, C., Riva, Sironi, V. A., Vanutelli, M.E. (2023) Well-Being in the Museums: The ASBA Project Research Protocol (June 12, 2023). Available at SSRN: https://ssrn.com/abstract=4476434

[2] Cao, Z. (2020) A review of artificial intelligence for EEG‐based brain− computer interfaces and applications. Brain Science Advances, 6(3), 162-170.

[3] Chatterjee, H., and Noble, G. (2013) Museums, health and wellbeing. (London: Ashgate Publishing), 2013. 158 pages. Curator Mus. J. 57, 513–519.

[4] Fancourt D., Bone J. K., Bu F., Mak H. W., Bradbury A. (2023) The Impact of Arts and Cultural Engagement on Population Health: Findings from Major Cohort Studies in the UK and USA 2017 – 2022. London: UCL, March 2023.

[5] Johansson, S. E., Konlaan, B. B., & Bygren, L. O. (2001) Sustaining habits of attending cultural events and maintenance of health: a longitudinal study. Health Promotion International, 16(3), 229-234.

[6] Neumann, D. L., Chan, R. C., Boyle, G. J., Wang, Y., & Westbury, H. R. (2015) Measures of empathy: Self-report, behavioral, and neuroscientific approaches. Measures of personality and social psychological constructs, 257-289.

[7] Nijholt, A., Jacob, R. J., Andujar, M., Yuksel, B. F., & Leslie, G. (2018) Brain-computer interfaces for artistic expression. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1-7).

[8] Sharma, A., & Singh, M. (2015, September) Assessing alpha activity in attention and relaxed state: An EEG analysis. In 2015 1st International Conference on Next Generation Computing Technologies (NGCT) (pp. 508-513). IEEE.

[9] Spielberger, C. D., Gonzalez-Reigosa, F., Martinez-Urrutia, A., Natalicio, L. F., & Natalicio, D. S. (1971) The state-trait anxiety inventory. Interamerican journal of psychology, 5(3 & 4).

[10] Torres, E. P., Torres, E. A., Hernández-Álvarez, M., & Yoo, S. G. (2020) EEG-based BCI emotion recognition: A survey. Sensors, 20(18), 5083.

[11] Van Hecke M., A. V., & Konopka, L. M. (2014) Effects of drawing on alpha activity: A quantitative EEG study with implications for art therapy. Art Therapy, 31(2), 61-68.

[12] Vanutelli, M. E., Salvadore, M., & Lucchiari, C. (2023) BCI Applications to Creativity: Review and Future Directions, from little-c to C2. Brain Sciences, 13(4), 665. doi.org/10.3390/brainsci13040665

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Can Brain-Computer Interface Predict Change in Anxiety During an Art Experience? Preliminary data from the ASBA project

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