A Wizard of Oz Study to Explore How the Young Population Perceives Brain-Computer Interfaces

Authors

  • José Rouillard

    CRIStAL Laboratory, University of Lille, Villeneuve-d’Ascq 59650, France

  • Marie-Hélène Bekaert

    CRIStAL Laboratory, University of Lille, Villeneuve-d’Ascq 59650, France

  • Jean-Marc Vannobel

    CRIStAL Laboratory, University of Lille, Villeneuve-d’Ascq 59650, France

DOI:

https://doi.org/10.30564/jeis.v6i2.8159
Received: 20 September 2024 | Revised: 30 September 2024 | Accepted: 3 October 2024 | Published Online: 12 October 2024

Abstract

This paper describes a wizard-of-oz (Woz) study that was performed to gather insights on how 44 teenagers perceive Brain-Computer Interfaces and how they imagine interacting with this technology in the domain of home automation. Ten questions were asked before users tested a fake BCI supposed to allow a mental control on a lamp, a fan and a radio. Three other questions were asked after the Woz experiment to gather users' feelings. Our study showed that young people were influenced in their perception of their own abilities to control connected objects (lamp, fan, radio) with a BCI, thanks to the Wizard of Oz technique. Thirty participants (68.2%) strongly believe they can control an object using their brain waves after the Woz experiment, whereas there were only eight (18.2%) strongly agree with this assertion before the WOz experiment. All participants, except two, changed their minds favorably after the experiment. A science fiction approach to the question of a subject's ability to interact with a BCI, and his or her ability to interact with a computer by means of thought, is a way of influencing the subject's perception of the possibility of implementing such an interface not in a fictional way, but in a very real one. This feeling may be reinforced by the fact that the BCI seems to behave as expected by the subject. However, we are not making any assumptions about how a fake BCI might be used by an uninitiated audience, or how it might be interpreted by them.

Keywords:

Brain-Computer Interface; Wizard of Oz; Multimodal Interaction; Internet of Things; MQTT

References

[1] Sarkar, S., 2023. AI Industry Analysis: 50 Most Visited AI Tools and Their 24B+ Traffic Behavior. Available from: https://writerbuddy.ai/blog/ai-industry-analysis (cited 1 October 2024).

[2] Vidal, J.J., 1973. Toward Direct Brain-Computer Communication. Annual Review of Biophysics. 2, 157–180. DOI: https://doi.org/10.1146/annurev.bb.02.060173.001105

[3] Wolpaw, J.R., Birbaumer, N., McFarland, D.J., et al., 2002. Brain-computer interfaces for communication and control. Clinical Neurophysiology. 113(6), 767–791. DOI: https://doi.org/10.1016/s1388-2457(02)00057-3

[4] Brunner, C., Birbaumer, N., Blankertz, B., et al., 2015. BNCI Horizon 2020: towards a roadmap for the BCI community. BCI Journal. 2(1), 1–10. DOI: https://doi.org/10.1080/2326263X.2015.1008956

[5] Crichton, M., 1972. The Terminal Man, 1st ed. Publisher: Alfred A. Knopf, New York, United States. pp. 1–247.

[6] Gibson, W., 1984. Neuromancer. Ace Books Ed., New York, United States. pp. 1–247.

[7] Kennedy, P.R., Bakay, R., 1998. Restoration of neural output from a paralyzed patient by a direct brain connection. NeuroReport. 9(8), 1707–1711. DOI: https://doi.org/10.1097/00001756-199806010-00007

[8] Allison, B.Z., 2010. Toward Ubiquitous BCIs. Brain-Computer Interfaces. Springer: Berlin/Heidelberg, Germany. pp. 357–387. DOI: https://doi.org/10.1007/978-3-642-02091-9_19

[9] Kosmyna, N., Scheirer, C. and Maes, P., 2021. The thinking cap: fostering growth mindset of children by means of electroencephalography and perceived magic of the Harry Potter universe. CHI Conference on Human Factors in Computing Systems; May 8–13, 2021; Yokohama, Japan. pp. 1–6.

[10] Benabid, A.L., Costecalde, T., Eliseyev, A., et al., 2019. An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration. Lancet Neurology. 18(12), 1112–1122. DOI: https://doi.org/10.1016/S1474-4422(19)30321-7

[11] Musk E, Neuralink, 2019. An Integrated Brain-Machine Interface Platform With Thousands of Channels. Journal of Medical Internet research. 21(10). DOI: https://doi.org/10.2196/16194

[12] Les notes scientifiques de l’Office., 2022. Les Neurotechnologies: défis scientifiques et éthiques. Available from: https://www.senat.fr/fileadmin/Office_et_delegations/OPECST/Notes_scientifiques/OPECST_note32.pdf (cited 1 October 2024).

[13] Shahriar, S., Hayawi, K., 2023. Let’s Have a Chat! A Conversation with ChatGPT: Technology, Applications, and Limitations. Artificial Intelligence and Applications. 2(1), 11–20. DOI: https://doi.org/10.47852/bonviewAIA3202939

[14] Dix, A., Finlay, J., Abowd, G.D. et al., 2004. Human-Computer Interaction, 3rd Edition, Prentice-Hall: New Jersey, United States. pp. 1–363.

[15] Adler, R., Iacobelli, F., Gutstein, Y., 2016. Are you convinced? A Wizard of Oz study to test emotional vs. Rational persuasion strategies in dialogues. Computers in Human Behavior. 57, 75–81. DOI: https://doi.org/10.1016/j.chb.2015.12.011

[16] Law, E., Cai, V., Liu, Q.F., et al., 2017. A Wizard-of-Oz study of curiosity in human-robot interaction. Proceedings of the 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN); 28 August –1 September 2017; Lisbon, Portugal. pp. 607–614. DOI: https://doi.org/10.1109/ROMAN.2017.8172365

[17] Kramp, T., van Kranenburg, R., Lange, S., 2013. Introduction to the Internet of Things. Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model. Springer: Berlin, Heidelberg, Germany. pp. 1–10.

[18] Cisco Systems, Inc., 2013. The Internet of Everything. Available from: https://www.cisco.com/c/dam/en_us/about/business-insights/docs/ioe-value-at-stake-public-sector-analysis-faq.pdf (cited 1 October 2024).

[19] Kanade, V., 2023. What Is the Internet of Everything? Meaning, Examples, and Uses. Available from: https://www.spiceworks.com/tech/iot/articles/what-is-internet-of-everthing (cited 1 October 2024).

[20] Kremenska, A.G., Lekova, A.K., Dimitrov, G.P., 2022. EEG Brain-Computer Interfaces for Internet of Everything (IoE). Proceedings of The 2022 International Conference on Information Technologies (InfoTech); 15–16 September 2022; Varna, Bulgaria. pp. 1–6. DOI: https://doi.org/10.1109/InfoTech55606.2022.9897097

[21] Rouillard, J., Vannobel, J.-M., Bekaert, M.-H., 2023. BIOFEE: Biomedical Framework for Enhanced Experimentation. Proceedings of The 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023); July 20–24, 2023; San Francisco, CA, USA. pp. 22–31. DOI: https://doi.org/10.54941/ahfe1003451

[22] Rouillard, J., Vannobel, J.-M., 2023. Multimodal Interaction for Cobot Using MQTT. Multimodal Technologies and Interaction. 7(8), 78. DOI: https://doi.org/10.3390/mti7080078

[23] Beland F., 2023. OASIS Open 2023 Annual Report. Available from: https://www.oasis-open.org/wp-content/uploads/2024/04/2023-OASIS-ANNUAL-REPORT_Final_25April2024.pdf (cited 1 October 2024).

[24] OASIS Standard, 2014. MQTT version 3.1. 1. Available from: https://docs.oasis-open.org/mqtt/mqtt/v3.1.1/os/mqtt-v3.1.1-os.pdf (cited 1 October 2024).

[25] Yuan, M., 2021. Getting to know MQTT. Why MQTT is one of the best network protocols for the Internet of Things. Available from: https://developer.ibm.com/articles/iot-mqtt-why-good-for-iot (cited 1 October 2024).

[26] OPC Foundation, 2008. OPC Foundation The Industrial Interoperability Standard. Available from: https://opcfoundation.org/ (cited 1 October 2024).

[27] Chakraborty, S., 2022. The Position Of Women In Science Fiction. Journal of Language and Linguistic Studies. 18(2), 930–939.

[28] Cave, S., Dihal, K., Drage, E., et al., 2023. Who makes AI? Gender and portrayals of AI scientists in popular film, 1920–2020. Public Understanding of Science. 32(6), 745–760. DOI: https://doi.org/10.1177/09636625231153985

[29] Euronews, 2024. OpenAI's ChatGPT chatbot tops the list but these are the 9 other most popular AI tools just now. Available from: https://www.euronews.com/next/2024/02/02/these-are-the-10-most-widely-used-ai-tools-and-the-people-who-using-them-the-most (cited 1 October 2024).

[30] Steindl, E., 2024. Consumer neuro devices within EU product safety law: Are we prepared for big tech ante portas? Computer Law & Security Review. 52, 105945. DOI: https://doi.org/10.1016/j.clsr.2024.105945

[31] Guzmán, L.H., 2022. Le Chili, pionnier dans la protection des neuro-droits. Le Courrier de l'UNESCO. 2022(1), 13–14. DOI: https://doi.org/10.18356/22202277-2022-1-4

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How to Cite

Rouillard, J., Bekaert , M.-H., & Vannobel, J.-M. (2024). A Wizard of Oz Study to Explore How the Young Population Perceives Brain-Computer Interfaces. Journal of Electronic & Information Systems, 6(2), 25–37. https://doi.org/10.30564/jeis.v6i2.8159