Learning to be yourself: Disentangling the mechanisms of agency attribution

Newport, Roger (2018). Learning to be yourself: Disentangling the mechanisms of agency attribution. [Data Collection]. Colchester, Essex: Economic and Social Research Council. 10.5255/UKDA-SN-850405

Data description (abstract)

There are great similarities between the actions of our self and others, not only in terms of movement characteristics, but also in the way those movements are processed in the brain. It is this similarity that allows humans to interpret the actions, intentions and desires of other people. Before we can begin to do this, however, we must be aware whether the source of a perceived action is our self or someone else. The ability to correctly identify our own actions from those of others (agency attribution) is a fundamental component of normal human social interaction and self-awareness. Disentangling the various conscious and unconscious brain mechanisms involved in agency attribution has proved problematic. By varying the accuracy of information regarding the seen and felt position of the hand during motion, using a variety of techniques, including robotic arms, virtual reality and transcranial magnetic stimulation of the brain, this research aims to investigate the contribution of different brain mechanisms in order to provide a greater understanding of how agency is attributed in normal and abnormal populations.

Data creators:
Creator Name Affiliation ORCID (as URL)
Newport Roger
Sponsors: Economic and Social Research Council
Grant reference: RES-000-22-2802
Topic classification: Psychology
Keywords: motor skills, brain damage
Date published: 24 Jun 2010 11:05
Last modified: 16 Aug 2018 09:45

Available Files

No Files to display

Downloads

data downloads and page views since this item was published

View more statistics

Altmetric

Website

Project information and publications

Edit item (login required)

Edit Item Edit Item