150
Views
0
CrossRef citations to date
0
Altmetric
Articles

Every look matters: appraisals of faces follow distinct rules of information integration under arousing versus non-arousing conditions

&
Pages 305-317 | Received 04 Apr 2015, Accepted 05 Mar 2018, Published online: 19 Mar 2018
 

ABSTRACT

In this research, we investigated whether appraisals of faces follow distinct rules of information integration under arousing versus non-arousing conditions. Support for this prediction was found in four experiments in which participants observed angry (and fearful) faces that were presented with a direct versus an averted gaze (Experiments 1a, b), on a red versus a grey background (Experiment 2), and after performing a motor exercise versus no exercise (Experiment 3). Under arousing conditions, participants’ appraisals of faces reflected summation (i.e. extremely negative encounters were strengthened by moderately negative encounters) whereas, under non-arousing conditions, appraisals did not reflect summation (i.e. extremely negative encounters were weakened by moderately negative encounters) and could instead be accounted for by three alternative rules of information integration based on averaging, mere exposure, or the number of strong stimuli.

Acknowledgments

The authors wish to acknowledge the contributions of Stefanie Angelmaier, Maria Felicitas Tietze, Jan Eickhoff, and Robert Bazelt, who prepared the photographic material used in the experiments and recruited the participants; Dominik Lang, who helped in designing and executing Experiment 3; and Daniel Trierweiler, who programmed the experimental software.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 503.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.