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Now showing items 151-157 of 157
Aufsatz
Let’s twist again! Embodiment effects in spatial judgments on human figures rotated along a vertical axis
(2017)
We investigated whether individuals used mental rotation and embodiment for arm laterality judgments of human figures that were stepwise rotated from back view to front view along a vertical axis. In Experiment 1, figures’ heads were always shown in profile, while only the bodies were rotated. Judgments were faster and more correct when figures were presented in back view compared to front view, but the relation between reaction times (RTs) and rotation angles was not strictly linear. In addition, judgments on figures ...
Aufsatz
Access to the learning material enhances learning by means of generating questions: Comparing open- and closed-book conditions
(2020)
Generating questions referring to the learning material is a powerful learning strategy. The present study investigated potential mechanisms behind this effect. Students (N=231) read a text and then generated questions referring to the text in three conditions: (1) open-book (i.e., text accessible), (2) closed-book (i.e., text inaccessible), and (3) cued closed-book (i.e., text inaccessible but keywords provided). After one week, students’ knowledge gain was larger in the open-book and cued closed-book conditions ...
Aufsatz
Verbal facilitation effects instead of verbal overshadowing in face memory of 4- to 6-year olds
(2015)
Research on eye witness memory in older children and adults revealed that verbally describing unfamiliar faces impairs later recognition of these faces, known as the “verbal overshadowing effect”. The aim of this study was to investigate whether a verbal overshadowing effect occurs in 4- to 6-year olds, too, and whether visualization (i.e., drawing the seen face) might elicit a visual overshadowing effect. Instead of a verbal overshadowing effect, a verbal facilitation effect was revealed with verbal intelligence ...
Dissertation
Promises and Pitfalls of Machine Learning Modeling in Psychological Research
(2024)
Algorithmen des maschinellen Lernens werden in der Psychologie und ihren Teildisziplinen immer beliebter. Sie werden häufig dafür angepriesen, dass sie mit der Multikollinearität von Prädiktorvariablen und komplexen Beziehungen zwischen Prädiktoren und Kriterien effizient umgehen können. Trotz ihrer Vorteile werden auch immer mehr kritische Stimmen laut, die auf die derzeitigen Grenzen von Vorhersagen durch maschinelles Lernen hinweisen und die Frage aufwerfen, ob die Algorithmen den Erwartungen gerecht werden. ...
Dissertation
Dynamics of Norms in Decision-Making
(2024-01)
So far, there is a lack of understanding how norms change. The aim of the present dissertation was twofold: (1) addressing differences between change processes of different types of norms and (2) focusing more particularly on how norms are internalized. To study norm dynamics, a multi-method approach was chosen, combining theory, social simulation, and experimental research. In the theoretical contribution, a psychologically grounded conceptual model of norm change and decision-making was presented. Based on a refined ...
Dissertation
Risk Communication during the COVID-19 Pandemic
(2024)
In this PhD project it was aimed to learn about the potential and the challenges of risk communication in systemic risks by conducting applied research during the COVID-19 pandemic. Risk communication plays a crucial role in mitigating these risks by addressing risk beliefs in the population and thereby stimulating behavior change. In the synapsis of this project, however, the prevalence of heterogenous prior risk beliefs in different groups of the population were identified as a major challenge for risk communication ...