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Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study

Gonzalez-Franco, M; Slater, M; Birney, ME; Swapp, D; Haslam, SA; Reicher, SD; (2018) Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study. PLoS One , 13 (12) , Article e0209704. 10.1371/journal.pone.0209704. Green open access

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Abstract

In Milgram's seminal obedience studies, participants' behaviour has traditionally been explained as a demonstration of people's tendency to enter into an 'agentic state' when in the presence of an authority figure: they attend only to the demands of that authority and are insensitive to the plight of their victims. There have been many criticisms of this view, but most rely on either indirect or anecdotal evidence. In this study, participants (n = 40) are taken through a Virtual Reality simulation of the Milgram paradigm. Compared to control participants (n = 20) who are not taken through the simulation, those in the experimental conditions are found to attempt to help the Learner more by putting greater emphasis on the correct word over the incorrect words. We also manipulate the extent to which participants identify with the science of the study and show that high identifiers both give more help, are less stressed, and are more hesitant to press the shock button than low identifiers. We conclude that these findings constitute a refutation of the 'agentic state' approach to obedience. Instead, we discuss implications for the alternative approaches such as 'engaged followership' which suggests that obedience is a function of relative identification with the science and with the victim in the study. Finally, we discuss the value of Virtual Reality as a technique for investigating hard-to-study psychological phenomena.

Type: Article
Title: Participant concerns for the Learner in a Virtual Reality replication of the Milgram obedience study
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0209704
Publisher version: http://doi.org/10.1371/journal.pone.0209704
Language: English
Additional information: Copyright: © 2018 Gonzalez-Franco et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10065467
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