GazeAlyze: a MATLAB toolbox for the analysis of eye movement data

This article presents GazeAlyze, a software package, written as a MATLAB (MathWorks Inc., Natick, MA) toolbox developed for the analysis of eye movement data. GazeAlyze was developed for the batch processing of multiple data files and was designed as a framework with extendable modules. GazeAlyze encompasses the main functions of the entire processing queue of eye movement data to static visual stimuli. This includes detecting and filtering artifacts, detecting events, generating regions of interest, generating spread sheets for further statistical analysis, and providing methods for the visualization of results, such as path plots and fixation heat maps. All functions can be controlled through graphical user interfaces. GazeAlyze includes functions for correcting eye movement data for the displacement of the head relative to the camera after calibration in fixed head mounts. The preprocessing and event detection methods in GazeAlyze are based on the software ILAB 3.6.8 Gitelman (Behav Res Methods Instrum Comput 34(4), 605-612, 2002). GazeAlyze is distributed free of charge under the terms of the GNU public license and allows code modifications to be made so that the program's performance can be adjusted according to a user's scientific requirements.     

Cognitive processes in the Extrinsic Affective Simon Task: a task-set switching account of EAST effects

Recently, De Houwer (2003) introduced the Extrinsic Affective Simon Task (EAST) as a new procedure for the indirect assessment of attitudes. In the present paper, we propose an explanation of EAST effects based on a task-set switching account. Specifically, we argue that EAST effects result from difficulties in efficiently switching between two different task sets. Results from two experiments support the assumptions of the task-set switching account: While there were strong EAST effects in task-shift trials, no robust effects were found in task-repetition trials. In Experiment 2, the robustness of this task-shift effect on the EAST was demonstrated: Visual similarity between concept and attribute stimuli did not qualify the task-shift effects. Implications for the interpretation of EAST effects are discussed.     

Mental illness disclosure in organizations: defining and predicting (un)supportive responses

Employees with a mental illness regularly encounter situations where they must make decisions regarding the extent to which they discuss their stigma. Past research has found links between positive disclosure experiences and positive well-being and job-related outcomes for the individual disclosing. However, research on stigma disclosure has not yet defined what differentiates a supportive response from an unsupportive one, and there is evidence to suggest that people are unsure of how to best respond to a disclosure. In a series of three studies, we sought to develop a better understanding of mental illness disclosure at work. First, we created a typology of supportive and unsupportive responses to disclosure via critical incidents gathered from working adults with a mental illness. Second, we surveyed working adults with and without a mental illness to examine if they perceive the supportiveness of responses differently. Third, in an experimental study, we examined which methods of disclosure are most effective in eliciting a supportive response. This work identifies several types of supportive (e.g., providing emotional support) and unsupportive (e.g., denial of symptoms) responses to mental illness disclosure and finds that individuals without a mental illness have a reasonable understanding of what an individual with a mental illness would also identify as supportive/unsupportive responses. We also find that downplaying one’s mental illness will likely lead to a less supportive response.

     

How To Be A Reliabilist

In this paper, I aim to develop a novel virtue reliabilist account of justified belief, which incorporates insights from both process reliabilism and extant versions of virtue reliabilism. Like extant virtue reliabilist accounts of justified belief, the proposed view takes it that justified belief is a kind of competent performance and that competent performances require reliable agent abilities. However, unlike extant versions of virtue reliabilism, the view takes abilities to essentially involve reliable processes. In this way, the proposed view should take a leaf from process reliabilism. Finally, I will provide reason to believe that the view compares favourably with both extant versions of virtue reliabilism and process reliabilism. In particular, I will show that in taking abilities to essentially involve reliable processes, the view has an edge over extant versions of virtue reliabilism. Moreover, I will argue that the proposed view can either solve or defuse a number of classical problems of process reliabilism, including the new evil demon problem, the problem of clairvoyant cases and the generality problem.     

The positivity proportion effect: A list context effect in masked affective priming

In the evaluative decision task, participants decide whether target words denote something positive or negative. Positive and negative prime words are known to engender so-called affective priming effects in this task. Primes were sandwich masked, and the proportion of positive to negative target words was manipulated. In Experiment 1, prime valence and positivity proportion interacted, so that primes of the less frequently presented target valence caused larger priming effects. Experiment 2 rendered an explanation of this interaction in terms of response bias unlikely, Experiment 3 ruled out a peripheral locus of the effect, and Experiment 4 ruled out an account in terms of stimulus repetition. The effect is explained by means of an attentional bias favoring the rare kind of valence.     

Electromyography diagnosis of laryngeal paralysis

The differential diagnosis of laryngeal muscle paralysis can be improved by electromyographical and neurographical analysis. The findings of 30 patients with recurrent paralysis were put forward and compared with the results among 30 test people.     

Structural analysis of subjective categorical data

A general approach to the analysis of subjective categorical data is considered, in which agreement matrices of two or more raters are directly expressed in terms of error and agreement parameters. The method provides focused analyses of ratings from several raters for whom ratings have measurement error distributions that may induce bias in the evaluation of substantive questions of interest. Each rater's judgment process is modeled as a mixture of two components: an error variable that is unique for the rater in question as well as an agreement variable that operationalizes the true values of the units of observation. The statistical problems of identification, estimation, and testing of such measurement models are discussed.The general model is applied in several special cases. The most simple situation is that underlying Cohen's Kappa, where two raters place units into unordered categories. The model provides a generalization and systematization of the Kappa-idea to correct for agreement by chance. In applications with typical research designs, including a between-subjects design and a mixed within-subjects, between-subjects design, the model is shown to disentangle structural and measurement components of the observations, thereby controlling for possible confounding effects of systematic rater bias. Situations considered include the case of more than two raters as well as the case of ordered categories. The different analyses are illustrated by means of real data sets.The authors wish to thank Lawrence Hubert and Ivo Molenaar for helpful and detailed comments on a previous draft of this paper. Thanks are also due to Jens Möller und Bernd Strauß for the data from the 1992 Olympic Games. We thank the editor and three anonymous reviewers for valuable comments on an earlier draft.     

Social categorization and fit detection under cognitive load: efficient or effortful?

Participants perceived a discussion between members of two social categories in a name‐matching paradigm. Discussions either exhibited inter‐category fit, defined as a covariation of category membership and the category members' attitude positions, or not. Orthogonally, there was cognitive load at encoding, load at retrieval, or no concurrent load. Memory for the statements and memory for the speaker of a statement were affected by load with little evidence for fit effects. Conversely, category memory, reconstructive category guessing and perceived fit were affected by inter‐category fit with little evidence for load effects. The results suggest that category activation is sensitive to inter‐category fit and that fit detection is robust against moderate amounts of cognitive load. Copyright © 2005 John Wiley & Sons, Ltd.