Search for authorsSearch for similar articles
44
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Using eye tracking to test for individual differences in attention to attractive faces

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We assessed individual differences in visual attention toward faces in relation to their attractiveness via saccadic reaction times. Motivated by the aim to understand individual differences in attention to faces, we tested three hypotheses: (a) Attractive faces hold or capture attention more effectively than less attractive faces; (b) men show a stronger bias toward attractive opposite-sex faces than women; and (c) blue-eyed men show a stronger bias toward blue-eyed than brown-eyed feminine faces. The latter test was included because prior research suggested a high effect size. Our data supported hypotheses (a) and (b) but not (c). By conducting separate tests for disengagement of attention and attention capture, we found that individual differences exist at distinct stages of attentional processing but these differences are of varying robustness and importance. In our conclusion, we also advocate the use of linear mixed effects models as the most appropriate statistical approach for studying inter-individual differences in visual attention with naturalistic stimuli.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: not found
          • Article: not found

          Attentional bias in emotional disorders.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Saccade target selection and object recognition: evidence for a common attentional mechanism.

            The spatial interaction of visual attention and saccadic eye movements was investigated in a dual-task paradigm that required a target-directed saccade in combination with a letter discrimination task. Subjects had to saccade to locations within horizontal letter strings left and right of a central fixation cross. The performance in discriminating between the symbols "E" and "E", presented tachistoscopically before the saccade within the surrounding distractors was taken as a measure of visual attention. The data show that visual discrimination is best when discrimination stimulus and saccade target refer to the same object; discrimination at neighboring items is close to chance level. Also, it is not possible, in spite of prior knowledge of discrimination target position, to direct attention to the discrimination target while saccading to a spatially close saccade target. The data strongly argue for an obligatory and selective coupling of saccade programming and visual attention to one common target object. The results favor a model in which a single attentional mechanism selects objects for perceptual processing and recognition, and also provides the information necessary for motor action.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Small sample inference for fixed effects from restricted maximum likelihood.

              Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision and inference for fixed effects are based on their asymptotic distribution, which is known to be inadequate for some small-sample problems. In this paper, we present a scaled Wald statistic, together with an F approximation to its sampling distribution, that is shown to perform well in a range of small sample settings. The statistic uses an adjusted estimator of the covariance matrix that has reduced small sample bias. This approach has the advantage that it reproduces both the statistics and F distributions in those settings where the latter is exact, namely for Hotelling T2 type statistics and for analysis of variance F-ratios. The performance of the modified statistics is assessed through simulation studies of four different REML analyses and the methods are illustrated using three examples.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                02 February 2015
                2015
                : 6
                : 42
                Affiliations
                [1] 1Cognitive Science Research Platform, University of Vienna Vienna, Austria
                [2] 2Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna Vienna, Austria
                [3] 3Department of Anthropology, Faculty of Life Sciences, University of Vienna Vienna, Austria
                [4] 4Department of Behavioural Biology, Faculty of Life Sciences, University of Vienna Vienna, Austria
                [5] 5Department of Psychology, Faculty of Social Sciences, University of Oslo Oslo, Norway
                Author notes

                Edited by: Ulrich S. Tran, University of Vienna, Austria

                Reviewed by: Bernhard Fink, University of Göttingen, Germany; Mark Hallahan, College of the Holy Cross, USA

                *Correspondence: Christian Valuch, Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Wien, Austria e-mail: christian.valuch@ 123456univie.ac.at

                This article was submitted to Personality and Social Psychology, a section of the journal Frontiers in Psychology.

                Article
                10.3389/fpsyg.2015.00042
                4313586
                25698993
                e3ef007c-31f2-4829-9f90-2286891486c6
                Copyright © 2015 Valuch, Pflüger, Wallner, Laeng and Ansorge.

                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) or licensor 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.

                History
                : 26 August 2014
                : 09 January 2015
                Page count
                Figures: 6, Tables: 7, Equations: 0, References: 59, Pages: 13, Words: 0
                Categories
                Psychology
                Original Research Article

                Clinical Psychology & Psychiatry
                attention,faces,gender,eye color,attractiveness,gap effect,dot probe,linear mixed effects models

                Comments

                Comment on this article