Skip to main content
SpringerLink
Log in

State of the Art of Business Simulation Games Modeling Supported by Brain-Computer Interfaces

  • Conference paper
  • First Online:
Human-Computer Interaction (HCI-COLLAB 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1334))

Included in the following conference series:

Abstract

The use of Business Simulation Games in education is becoming very common as a training strategy offered by companies and universities. However, the real-time monitoring and analysis of the use of these resources has not been sufficiently studied. The aim of this work is to present the state of the art of simulators of organizational environments, from the point of view of Neuroscience, through the support of two data collection devices during the user experience: electroencephalography and eye tracking. The study points out relevant aspects that the physiological and neuroscientific interfaces can offer in monitoring the use of these tools, contributing to the definition of what is important in their conception and modeling for meaningful learning.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. McGlarty, K.L., Orr, A., Frey, P.M., Dolan, R., Vassileva, V., McvAy, A.: A Literature Review of Gaming in Gaming, pp. 1–36 (2012). http://www.pearsonassessments.com/hai/Images/tmrs/Lit_Review_of_Gaming_in_Education.pdf%5Cnpapers3://publication/uuid/32BC44F8-5E69-43C6-9E62-5C00DF0E540F

  2. Ratwani, K.L., Orvis, K., Knerr, B.: Game-Based Training Effectiveness Evaluation in an Operational Setting, pp. 34 (2010). http://oai.dtic.mil/oai/oai?verb=getRecord&metadataPrefix=html&identifier=ADA530660

  3. Lent, R.: Cem Bilhões de Neurônios: Conceitos Fundamentais de Neurociência. Atheneu, São Paulo (2001)

    Google Scholar 

  4. Santos, D., Primi, R.: Desenvolvimento socioemocional e aprendizado escolar: Uma proposta de mensuração para apoiar políticas públicas, pp. 87 (2014). https://doi.org/10.1017/cbo9781107415324.004

  5. Bontinck, G., Isik, Ö., Van den Bergh, J., Viaene, S.: Unlocking the potential of the process perspective in business transformation. In: La Rosa, M., Loos, P., Pastor, O. (eds.) BPM 2016. LNBIP, vol. 260, pp. 161–176. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45468-9_10

    Chapter  Google Scholar 

  6. Prifti, L., Knigge, M., Löffler, A., Hecht, S., Krcmar, H.: Emerging business models in education provisioning: a case study on providing learning support as education-as-a-service. Int. J. Eng. Pedagog. 7(3), 92 (2017). https://doi.org/10.3991/ijep.v7i3.7337

    Article  Google Scholar 

  7. Monk, E.F., Lycett, M.: Measuring business process learning with enterprise resource planning systems to improve the value of education. Educ. Inf. Tech. 21(4), 747–768 (2014). https://doi.org/10.1007/s10639-014-9352-6

    Article  Google Scholar 

  8. Baldwin, T.T., Pierce, J.R., Joines, R.C., Farouk, S.: The elusiveness of applied management knowledge: a critical challenge for management educators. Acad. Manag. Learn. Educ. 10(4), 583–605 (2011). https://doi.org/10.5465/amle.2010.0045

    Article  Google Scholar 

  9. Barçante, L.C., Pinto, F.C.: Jogos de Negócios: Revolucionando o Aprendizado Nas Empresas. Impetus, Rio de Janeiro (2003)

    Google Scholar 

  10. Abdullah, N.L., Hanafiah, M.H., Hashim, N.A.: Developing creative teaching module: business simulation in teaching strategic management. Int. Educ. Stud. 6(6), 95–107 (2013). https://doi.org/10.5539/ies.v6n6p95

    Article  Google Scholar 

  11. Gazzaniga, M., Heatherton, T., Halpern D.: Ciência Psicológica. Artmed Editora (2005)

    Google Scholar 

  12. Izquierdo, I.: Memória. ArtMed, Porto Alegre (2002)

    Google Scholar 

  13. Bălan, O., Moise, G., Petrescu, L., Moldoveanu, A., Leordeanu, M., Moldoveanu, F.: Emotion classification based on biophysical signals and machine learning techniques. Symmetry (Basel) 12(1), 21 (2019). https://doi.org/10.3390/sym12010021

    Article  Google Scholar 

  14. Green, C.S., Bavelier, D.: Exercising your brain: a review of human brain plasticity and training-induced learning. Psychol. Aging 23(4), 692–701 (2008). https://doi.org/10.1037/a0014345.Exercising

    Article  Google Scholar 

  15. Kühn, S., Romanowski, A., Schilling, C., et al.: The neural basis of video gaming. Transl. Psychiatry 1, e53 (2011). https://doi.org/10.1038/tp.2011.53

  16. Kühn, S., Gleich, T., Lorenz, R.C., Lindenberger, U., Gallinat, J.: Playing super mario induces structural brain plasticity: gray matter changes resulting from training with a commercial video game. Mol. Psychiatry 19(2), 265–271 (2014). https://doi.org/10.1038/mp.2013.120

    Article  Google Scholar 

  17. Ruohomaki, V.: Viewpoints on learning and education with simulation games. In: Riis, J.O. (ed.) Simulation Games and Learning in Production Management, pp. 14–28. Chapman & Hall, London (1995)

    Google Scholar 

  18. Siddiqui, A., Khan, M., Akhtar, S.: Supply chain simulator: a scenario-based educational tool to enhance student learning. Comput. Educ. 51(1), 252–261 (2008). https://doi.org/10.1016/j.compedu.2007.05.008

    Article  Google Scholar 

  19. García, J., Cañadillas, I., Charterina, J.: Business simulation games with and without supervision: an analysis based on the TAM model. J. Bus. Res. 69, 1731–1736 (2016). https://doi.org/10.1016/j.jbusres.2015.10.046

    Article  Google Scholar 

  20. Greco, M., Baldissin, N., Nonino, F.: An exploratory taxonomy of business games. Simul. Gamin. 44(5), 645–682 (2013). https://doi.org/10.1177/1046878113501464

    Article  Google Scholar 

  21. Eilon, S.: Management games. J. Oper. Res. Soc. 14(2), 137–149 (1963). https://doi.org/10.1057/jors.1963.22

    Article  Google Scholar 

  22. ABNT: NBR ISO 10015: Gestão da qualidade - Diretrizes para treinamento, p. 12 (2001)

    Google Scholar 

  23. Benyon, D.: Designing interactive systems: a comprehensive guide to HCI, UX and interaction design (2013). http://catalogue.pearsoned.co.uk/educator/product/Designing-Interactive-Systems-A-comprehensive-guide-to-HCI-UX-and-interaction-design-3E/9781447

  24. Maier, F.H., Größler, A.: What are we talking about? - A taxonomy of computer simulations to support learning. Syst. Dyn. Rev. 16(2), 135–148 (2000). https://doi.org/10.1002/1099-1727(200022)16:2%3c135:AID-SDR193%3e3.0.CO;2-P

    Article  Google Scholar 

  25. Bell, L., Vogt, J., Willemse, C., Routledge, T., Butler, L.T., Sakaki, M.: Beyond self-report: a review of physiological and neuroscientific methods to investigate consumer behavior 9, 1–16 (2018). https://doi.org/10.3389/fpsyg.2018.01655

    Article  Google Scholar 

  26. Arico, P., Borghini, G., Di Flumeri, G., Sciaraffa, N., Babiloni, F.: Passive BCI beyond the lab: current trends and future directions. Physiol. Meas. 39(8) (2018). https://doi.org/10.1088/1361-6579/aad57e

  27. Teo, J., Chia, J.T.: EEG-based excitement detection in immersive environments: an improved deep learning approach. In: Nifa, F., Lin, C., Hussain, A., (eds.) 3RD International Conference on Applied Science and Technology (ICAST 2018). American Institute of Physics, Georgetown, Malaysia (2018). https://doi.org/10.1063/1.5055547

  28. Burger, C.A.C., Knoll, G.F.: Eye tracking: possibilidades de uso da ferramenta de rastreamento ocular na publicidade. Front - Estud midiáticos 20(3), 340–353 (2018). https://doi.org/10.4013/fem.2018.203.07

    Article  Google Scholar 

  29. Oliveira, J.H.C., Giraldi, J.M.E.: Neuromarketing and its implications for operations management: an experiment with two brands of beer. Gest e Prod. 26(3) (2019) https://doi.org/10.1590/0104-530x3512-19

  30. Eysenck, M.W., Keane, M.T.: Manual de Psicologia Cognitiva. Artmed, Porto Alegre (2010)

    Google Scholar 

  31. Kugler, M.: Uma contribuição ao desenvolvimento de interfaces cérebro-computador utilizando potenciais visualmente evocados (2003)

    Google Scholar 

  32. Wolpaw, J.R., Birbaumer, N., Heetderks, W.J., et al.: Brain-computer interface technology: a review of the first international meeting. IEEE Trans. Rehabil. Eng. 8(2), 164–173 (2000). https://doi.org/10.1109/tre.2000.847807

    Article  Google Scholar 

  33. Salminen, M., Ravaja, N.: Oscillatory brain responses evoked by video game events: the case of super monkey ball 2. Cyberpsychol. Behav. Impact Internet Multimed. Virtual Real Behav. Soc. 10(3), 330–338 (2007). https://doi.org/10.1089/cpb.2006.9947

    Article  Google Scholar 

  34. Sheikholeslami, C., Yuan, H., He, E.J., Bai, X., Yang, L., He, B.: A high resolution EEG study of dynamic brain activity during video game play. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2489-2491. https://doi.org/10.1109/iembs.2007.4352833

  35. Nacke, L.E.: Affective ludology: scientific measurement of user experience in interactive entertainment. Ph.D. Thesis, Blekinge Institute of Technology (2009). http://www.bth.se/fou/forskinfo.nsf/Sok/ca7dff01c93318fdc1257646004dfce1/$file/Nacke_diss.pdf%5Cnhttp://phd.acagamic.com/

  36. Li, J., et al.: An improved classification model for depression detection using EEG and eyetracking data (2020). https://doi.org/10.1109/TNB.2020.2990690

  37. Duchowski, A.T.: Eye Tracking Methodology (2017). https://doi.org/10.1007/978-3-319-57883-5

  38. Cuesta-cambra, U., Rodríguez-terceño, J.: El procesamiento cognitivo en una app educativa con electroencefalograma y «Eye Tracking». Comunicar XXV(52), 41-50 (2017)

    Google Scholar 

  39. Carvalho, M., Oliveira, L.: Emotional design in web interfaces. Observatorio 11(2), 14–34 (2017). https://doi.org/10.15847/obsobs1122017905

    Article  Google Scholar 

  40. D’Angiulli, A., Devenyi, P.: Retooling computational techniques for eeg-based neurocognitive modeling of children’s data, validity and prospects for learning and education. Front. Comput. Neurosci. 13 (2019). https://doi.org/10.3389/fncom.2019.00004

  41. Lee, J.Y., Donkers, J., Jarodzka, H., van Merrienboer, J.J.G.: How prior knowledge affects problem-solving performance in a medical simulation game: using game-logs and eye-tracking. Comput. Hum. Behav. 99, 268–277 (2019). https://doi.org/10.1016/j.chb.2019.05.035

    Article  Google Scholar 

  42. Emerson, A., Sawyer, R., Azevedo, R., Lester, J.: Gaze-enhanced student modeling for game-based learning. In: UMAP 2018 – Proceedings of the 26th Conference on User Modeling, Adaption and Personalization, pp. 63–72 (2018). https://doi.org/10.1145/3209219.3209238

Download references

Author information

Authors and Affiliations

  1. Universidad de La Laguna, San Cristóbal de La Laguna, Spain

    Cleiton Pons Ferreira & Carina Soledad González González

  2. Universidade Federal do Rio Grande, Rio Grande, Brazil

    Cleiton Pons Ferreira

  3. Instituto Federal de Educação Ciência e Tecnologia do Rio Grande do Sul, Rio Grande, Brazil

    Cleiton Pons Ferreira

Authors
  1. Cleiton Pons Ferreira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Carina Soledad González González
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cleiton Pons Ferreira .

Editor information

Editors and Affiliations

  1. Corporación Universitaria Comfacauca Unicomfacauca, Popayán, Colombia

    Vanessa Agredo-Delgado

  2. Corporación Universitaria Comfacauca Unicomfacauca, Popayán, Colombia

    Pablo H. Ruiz

  3. Universidad Católica de Santa María, Arequipa, Peru

    Klinge Orlando Villalba-Condori

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ferreira, C.P., González, C.S.G. (2020). State of the Art of Business Simulation Games Modeling Supported by Brain-Computer Interfaces. In: Agredo-Delgado, V., Ruiz, P.H., Villalba-Condori, K.O. (eds) Human-Computer Interaction. HCI-COLLAB 2020. Communications in Computer and Information Science, vol 1334. Springer, Cham. https://doi.org/10.1007/978-3-030-66919-5_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-66919-5_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66918-8

  • Online ISBN: 978-3-030-66919-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation