Publications by authors named "Eline Van Geert"

In multistable dot lattices, the orientation we perceive is attracted toward the orientation we perceived in the immediately preceding stimulus and repelled from the orientation for which most evidence was present previously (Van Geert, Moors, Haaf, & Wagemans, 2022). Theoretically-inspired models have been proposed to explain the co-occurrence of attractive and repulsive context effects in multistable dot lattice tasks, but these models artificially induced an influence of the previous trial on the current one without detailing the process underlying such an influence (Gepshtein & Kubovy, 2005; Schwiedrzik et al., 2014).

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How do we perceptually and cognitively organize incoming stimulation? A century ago, Gestalt psychologists posited the law of Prägnanz: psychological organization will always be as 'good' as possible given the prevailing conditions. To make the Prägnanz law a useful statement, it needs to be specified further (a) what a 'good' psychological organization entails, (b) how the Prägnanz tendency can be realized, and (c) which conditions need to be taken into account. Although the Gestalt school did provide answers to these questions, modern-day mentions of Prägnanz or good Gestalt often lack these clarifications.

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Gestalt psychologists posited that we always organize our visual input in the best way possible under the given conditions. Both weakening or removing unnecessary details (i.e.

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Article Synopsis
  • Earlier studies found that people perceive differences within the same category as smaller than differences across categories, even if the actual differences are the same.
  • This article suggests that reference points (or examples to compare against) help explain this "category boundary effect" and how people perform in categorization and discrimination tasks.
  • The results showed that the perceived differences in stimuli depend more on their distance from these reference points rather than just on whether they belong to the same or different categories, emphasizing the importance of examining detailed data patterns instead of relying on averages.
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Article Synopsis
  • A study examines people's preferences for stimuli based on order and complexity, but past research often overlooked their combined effects and lacked proper tools for experimentation.
  • The Order & Complexity Toolbox for Aesthetics (OCTA) is introduced as a free Python tool that allows researchers to easily create varying displays for order and complexity in visual stimuli.
  • OCTA not only aids in research related to aesthetics but also has potential applications in digital art and experiments across various fields using visual stimuli.
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How we perceptually organize a visual stimulus depends not only on the stimulus itself, but also on the temporal and spatial context in which the stimulus is presented and on the individual processing the stimulus and context. Earlier research found both attractive and repulsive context effects in perception: tendencies to organize visual input similarly to preceding context stimuli (i.e.

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We tested the prediction, derived from the hubris hypothesis, that bragging might serve as a verbal provocation and thus enhance aggression. Experiments 1 and 2 were vignette studies where participants could express hypothetical aggression; Experiment 3 was an actual decision task where participants could make aggressive and/or prosocial choices. Observers disliked an explicit braggart (who claimed to be "better than others") or a competence braggart as compared with an implicit braggart (who claimed to be "good") or a warmth braggart, respectively.

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Self-report personality questionnaires, traditionally offered in a graded-scale format, are widely used in high-stakes contexts such as job selection. However, job applicants may intentionally distort their answers when filling in these questionnaires, undermining the validity of the test results. Forced-choice questionnaires are allegedly more resistant to intentional distortion compared to graded-scale questionnaires, but they generate ipsative data.

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