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Previous research has shown that low-level visual features (i.e., low-level visual saliency) as well as socially relevant information predict gaze allocation in free viewing conditions. However, these studies mainly used static and highly controlled stimulus material, thus revealing little about the robustness of attentional processes across diverging situations. Secondly, the influence of affective stimulus characteristics on visual exploration patterns remains poorly understood. Participants in the present study freely viewed a set of naturalistic, contextually rich video clips from a variety of settings that were capable of eliciting different moods. Using recordings of eye movements, we quantified to what degree social information, emotional valence and low-level visual features influenced gaze allocation using generalized linear mixed models. We found substantial and similarly large regression weights for low-level saliency and social information, affirming the importance of both predictor classes under ecologically more valid dynamic stimulation conditions. Differences in predictor strength between individuals were large and highly stable across videos. Additionally, low-level saliency was less important for fixation selection in videos containing persons than in videos not containing persons, and less important for videos perceived as negative. We discuss the generalizability of these findings and the feasibility of applying this research paradigm to patient groups.
Pictorial stimuli can vary on many dimensions, several aspects of which are captured by the term ‘visual complexity.’ Visual complexity can be described as, “a picture of a few objects, colors, or structures would be less complex than a very colorful picture of many objects that is composed of several components.” Prior studies have reported a relationship between affect and visual complexity, where complex pictures are rated as more pleasant and arousing. However, a relationship in the opposite direction, an effect of affect on visual complexity, is also possible; emotional arousal and valence are known to influence selective attention and visual processing. In a series of experiments, we found that ratings of visual complexity correlated with affective ratings, and independently also with computational measures of visual complexity. These computational measures did not correlate with affect, suggesting that complexity ratings are separately related to distinct factors. We investigated the relationship between affect and ratings of visual complexity, finding an ‘arousal-complexity bias’ to be a robust phenomenon. Moreover, we found this bias could be attenuated when explicitly indicated but did not correlate with inter-individual difference measures of affective processing, and was largely unrelated to cognitive and eyetracking measures. Taken together, the arousal-complexity bias seems to be caused by a relationship between arousal and visual processing as it has been described for the greater vividness of arousing pictures. The described arousal-complexity bias is also of relevance from an experimental perspective because visual complexity is often considered a variable to control for when using pictorial stimuli.
The Concealed Information Test (CIT) is a well-validated means to detect whether someone possesses certain (e.g., crime-relevant) information. The current study investigated whether alcohol intoxication during CIT administration influences reaction time (RT) CIT-effects. Two opposing predictions can be made. First, by decreasing attention to critical information, alcohol intoxication could diminish CIT-effects. Second, by hampering the inhibition of truthful responses, alcohol intoxication could increase CIT-effects. A correlational field design was employed. Participants (n = 42) were recruited and tested at a bar, where alcohol consumption was voluntary and incidental. Participants completed a CIT, in which they were instructed to hide knowledge of their true identity. BAC was estimated via breath alcohol ratio. Results revealed that higher BAC levels were correlated with higher CIT-effects. Our results demonstrate that robust CIT effects can be obtained even when testing conditions differ from typical laboratory settings and strengthen the idea that response inhibition contributes to the RT-CIT effect.