Virtually being Einstein results in an improvement in cognitive task performance and a decrease in age bias

Article


Banakou, D., Kishore, S. and Slater, M. 2018. Virtually being Einstein results in an improvement in cognitive task performance and a decrease in age bias. Frontiers in Psychology. 9. https://doi.org/10.3389/fpsyg.2018.00917
TypeArticle
TitleVirtually being Einstein results in an improvement in cognitive task performance and a decrease in age bias
AuthorsBanakou, D., Kishore, S. and Slater, M.
Abstract

The brain's body representation is amenable to rapid change, even though we tend to think of our bodies as relatively fixed and stable. For example, it has been shown that a life-sized body perceived in virtual reality as substituting the participant's real body, can be felt as if it were their own, and that the body type can induce perceptual, attitudinal and behavioral changes. Here we show that changes can also occur in cognitive processing and specifically, executive functioning. Fifteen male participants were embodied in a virtual body that signifies super-intelligence (Einstein) and 15 in a (Normal) virtual body of similar age to their own. The Einstein body participants performed better on a cognitive task than the Normal body, considering prior cognitive ability (IQ), with the improvement greatest for those with low self-esteem. Einstein embodiment also reduced implicit bias against older people. Hence virtual body ownership may additionally be used to enhance executive functioning.

Keywordsbody ownership; embodiment; rubber hand illusion; virtual reality; executive functioning; age bias; implicit association test; Tower of London test
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
JournalFrontiers in Psychology
ISSN1664-1078
Publication dates
Online11 Jun 2018
Print11 Jun 2018
Publication process dates
Submitted27 Feb 2018
Accepted18 May 2018
Deposited30 Oct 2023
Output statusPublished
Publisher's version
License
Copyright Statement

Copyright © 2018 Banakou, Kishore and Slater. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Digital Object Identifier (DOI)https://doi.org/10.3389/fpsyg.2018.00917
Scopus EID2-s2.0-85048307943
Web of Science identifierWOS:000434817900001
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/w39y5

Download files


Publisher's version
  • 75
    total views
  • 19
    total downloads
  • 6
    views this month
  • 3
    downloads this month

Export as

Related outputs

Evaluating student evaluations: evidence of gender bias against women in higher education based on perceived learning and instructor personality
Khokhlova, O., Lamba, N. and Kishore, S. 2023. Evaluating student evaluations: evidence of gender bias against women in higher education based on perceived learning and instructor personality. Frontiers in Education. 8. https://doi.org/10.3389/feduc.2023.1158132
Who is more ‘human-like’? Exploring gender and race in perception of avatars in an online classroom
Lamba, N., Kishore, S. and Khokhlova, O. 2023. Who is more ‘human-like’? Exploring gender and race in perception of avatars in an online classroom. 11th European Conference on Education (ECE2023). London, UK, and Online 13 - 17 Jul 2023
Developing an object detection and gripping mechanism algorithm using machine learning
Mohammad, H., Kishore, S. and Prasetyo, J. 2023. Developing an object detection and gripping mechanism algorithm using machine learning. Journal of Applied Science and Advanced Engineering. 1 (2), pp. 47-54. https://doi.org/10.59097/jasae.v1i2.15
Interactive multimodal learning: towards using pedagogical agents for inclusive education
Al Omoush, M., Salih, S., Kishore, S. and Mehigan, T. 2023. Interactive multimodal learning: towards using pedagogical agents for inclusive education. 2023 IEEE International Humanitarian Technology Conference. Santa Marta, Colombia 01 - 03 Nov 2023 IEEE. https://doi.org/10.1109/IHTC58960.2023.10508848
PhD Work with Robothespian on display at Centre of Contemporary Culture Barcelona
Kishore, S. 2022. PhD Work with Robothespian on display at Centre of Contemporary Culture Barcelona. Centre of Contemporary Culture Barcelona (CCCB) 27 Jul - 11 Dec 2022
Using virtual avatars to explore the impact of instructors' gender, race, and qualification on perceived learning in an online classroom
Lamba, N., Kishore, S. and Khokhlova, O. 2022. Using virtual avatars to explore the impact of instructors' gender, race, and qualification on perceived learning in an online classroom. The 10th European Conference on Education. London, UK 14 - 17 Jul 2022
When your robot avatar misbehaves you are likely to apologize: an exploration of guilt during robot embodiment
Aymerich-Franch, L., Kishore, S. and Slater, M. 2020. When your robot avatar misbehaves you are likely to apologize: an exploration of guilt during robot embodiment. International Journal of Social Robotics. 12 (1), pp. 217-226. https://doi.org/10.1007/s12369-019-00556-5
A virtual reality embodiment technique to enhance helping behavior of police toward a victim of police racial aggression
Kishore, S., Spanlang, B., Iruretagoyena, G., Halan, S., Szostak, D. and Slater, M. 2019. A virtual reality embodiment technique to enhance helping behavior of police toward a victim of police racial aggression. PRESENCE: Virtual and Augmented Reality. 28, pp. 5-27. https://doi.org/10.1162/pres_a_00339
Beaming into the news: a system for and case study of tele-immersive journalism
Kishore, S., Navarro, X., Dominguez, E., De La Peña, N. and Slater, M. 2018. Beaming into the news: a system for and case study of tele-immersive journalism. IEEE Computer Graphics and Applications. 38 (2), pp. 89-101. https://doi.org/10.1109/mcg.2017.2801407
Examining sense of responsibility in an experience of robot avatar embodiment
Aymerich-Franch, L., Kishore, S. and Slater, M. 2018. Examining sense of responsibility in an experience of robot avatar embodiment. 68th Annual Conference of the International Communication Association (ICA). Prague, Czech Republic 24 - 28 May 2018
Automated psychological therapy using immersive virtual reality for treatment of fear of heights: A single-blind, parallel-group, randomised controlled trial
Freeman, D., Haselton, P., Freeman, J., Spanlang, B., Kishore, S., Albery, E., Denne, M., Brown, P., Slater, M. and Nickless, A. 2018. Automated psychological therapy using immersive virtual reality for treatment of fear of heights: A single-blind, parallel-group, randomised controlled trial. The Lancet Psychiatry. 5 (8), pp. 625-632. https://doi.org/10.1016/S2215-0366(18)30226-8
Multi-destination beaming: apparently being in three places at once through robotic and virtual embodiment
Kishore, S., Muncunill, X.N., Bourdin, P., Or-Berkers, K., Friedman, D. and Slater, M. 2016. Multi-destination beaming: apparently being in three places at once through robotic and virtual embodiment. Frontiers in Robotics and AI. 3. https://doi.org/10.3389/frobt.2016.00065
Comparison of SSVEP BCI and eye tracking for controlling a humanoid robot in a social environment
Kishore, S., González-Franco, M., Hintemüller, C., Kapeller, C., Guger, C., Slater, M. and Blom, K.J. 2014. Comparison of SSVEP BCI and eye tracking for controlling a humanoid robot in a social environment. PRESENCE: Virtual and Augmented Reality. 23 (3), p. 242–252. https://doi.org/10.1162/pres_a_00192
Real time whole body motion mapping for avatars and robots
Spanlang, B., Navarro, X., Normand, J.-M., Kishore, S., Pizarro, R. and Slater, M. 2013. Real time whole body motion mapping for avatars and robots. 19th ACM Symposium on Virtual Reality Software and Technology. Singapore 06 - 09 Oct 2013 Association for Computing Machinery (ACM). https://doi.org/10.1145/2503713.2503747