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Orthogonal-compatibility effects confound automatic imitation: implications for measuring self-other distinction

DJ. Shaw, K. Czekóová, M. Porubanová,

. 2017 ; 81 (6) : 1152-1165. [pub] 20161017

Language English Country Germany

Document type Journal Article

E-resources Online Full text

NLK ProQuest Central from 1997-06-01 to 1 year ago
Medline Complete (EBSCOhost) from 1998-01-01 to 1 year ago
Health & Medicine (ProQuest) from 1997-06-01 to 1 year ago
Psychology Database (ProQuest) from 1997-06-01 to 1 year ago

Accurate distinction between self and other representations is fundamental to a range of social cognitive capacities, and understanding individual differences in this ability is an important aim for psychological research. This demands accurate measures of self-other distinction (SOD). The present study examined an experimental paradigm employed frequently to measure SOD in the action domain; specifically, we evaluated the rotated finger-action stimuli used increasingly to measure automatic imitation (AI). To assess the suitability of these stimuli, we compared AI elicited by different action stimuli to the performance on a perspective-taking task believed to measure SOD in the perception domain. In two separate experiments we reveal three important findings: firstly, we demonstrate a strong confounding influence of orthogonal-compatibility effects on AI elicited by certain rotated stimuli. Second, we demonstrate the potential for this confounding influence to mask important relationships between AI and other measures of SOD; we observed a relationship between AI and perspective-taking performance only when the former was measured in isolation of orthogonality compatibility. Thirdly, we observed a relationship between these two performance measures only in a sub-group of individuals exhibiting a pure form of AI. Furthermore, this relationship revealed a self-bias in SOD-reduced AI was associated with increased egocentric misattributions in perspective taking. Together, our findings identify an important methodological consideration for measures of AI and extend previous research by showing an egocentric style of SOD across action and perception domains.

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