Abstract
Augmented Reality allows a more detailed understanding of a learning object. Aim of this work was to analyse embodied cognition of the learning object, when it is presented in 2D or in 3D presentation in AR. Our sample was composed by University Students that differed with respect to the knowledge of plankton (naïve and competent condition). The subjects had to manipulate in AR some Application about plankton. After the AR manipulation, the subjects had to perform a recognition task during an EEG recording. We examined Event Related Potential P1, N2 and P3 components. Main result of the study was a significant change in amplitude in the parietal and central left lobe in all components in direction of greater amplitude in naïve condition. We interpret these results like a modulatory effect in the interaction with augmented reality application.
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References
Rose, F.D., Attree, E.A., Brooks, B.M., Johnson, D.H.: Virtual environments in brain damage rehabilitation: a rationale from basic neuroscience. In: Riva, G., Wiederhold, B.K., Molinan, E. (eds.) Virtual Environments in Clinical Psychology and Neuroscience: Methods and Techniques in Advanced Patient-Therapist Interaction, pp. 233–242. IOS Press, Amsterdam (1998)
Rose, F.D., Brooks, B.M., Attree, E.A.: An exploratory investigation into the usability and usefulness of training people with learning disabilities in a virtual environment. Disabil. Rehabil. 24(11–12), 627–633 (2002)
Roussou, M.: Learning by doing and learning through play: an exploration of interactivity in virtual environments for children. ACM Comput. Entertainment 2(1), 1–23 (2004)
Luck, S.L.: An Introduction to the Event-Related Potential Technique, 2nd edn. The MIT Press, Cambridge (2014)
Baolin, L., Zhongning, W., Guanjun, S., Guagning, W.J.: Cognitive processing of traffic signs in immersive virtual reality environment:an ERP study. Neurosci. Lett. 485, 43–48 (2010)
Neumann, U., Majoros, A.: Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenance. In: Proceedings IEEE Virtual Reality (VR 1998), pp. 4–11 (1998)
Mania, K., Chalmers, A.: The effects of levels of immersion on memory and presence in virtual environments: a reality centered approach. CyberPsychol. Behav. 4(2), 247–264 (2001)
Jang, S., BlacK, J., Jyung, R.: Embodied cognition and virtual reality in learning to visualize anatomy. In: 32 Annual Conference of the Cognitive Science Society, Portland (2010)
Shapiro, L.: The Handbook of Embodied Cognition. Routledge, New York (2014)
Invitto, S., Spada, I., De Tommaso, M., Belmonte, G.: Virtual reality and planktonic elements: cognitive preference and 3d perceptions in marine biology students. In: Neuropsychological Trends, LED Editions, Proceedings Abstract, XXII Congress of Italian Society of Psychophysiology, November 2014
Banos, R.M., Botella, C., Alcaniz, M., Liano, B.A., Guerrero, B., Rey, B.: Immersion and Emotion: their Impact on the Sense of Presence. Cyberpsychol. Behav. 7, 734–740 (2004)
Dune Suit Area DIM Data Processing and Immersive Environment. http://www.cetma.it/LinkClick.aspx?fileticket=m7lY0e5gjME%3D&tabid=200&language=it-IT
Acknowledgment
This work has been supported by the following projects: (a) PON R&C 2007-13 EDOC@Work Project 3.0 - Education and Work in Cloud; (b) “Easy Perception Lab” Living Lab Project, Apulia Region.
The authors wish to thank Dario Turco, manager of Agilex srl, for the contribution at the project “Easy Perception Lab”.
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Invitto, S., Spada, I., De Paolis, L.T. (2015). Augmented Reality, Embodied Cognition and Learning. In: De Paolis, L., Mongelli, A. (eds) Augmented and Virtual Reality. AVR 2015. Lecture Notes in Computer Science(), vol 9254. Springer, Cham. https://doi.org/10.1007/978-3-319-22888-4_10
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DOI: https://doi.org/10.1007/978-3-319-22888-4_10
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