Ben Weidmann
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View article: Quantifying Human-AI Synergy
Quantifying Human-AI Synergy Open
We introduce a novel Bayesian Item Response Theory framework to quantify human–AI synergy, separating individual and collaborative ability while controlling for task difficulty in interactive settings. Unlike standard static benchmarks, ou…
View article: Measuring Emotion Perception Ability Using AI-Generated Stimuli: Development and Validation of the PAGE Test
Measuring Emotion Perception Ability Using AI-Generated Stimuli: Development and Validation of the PAGE Test Open
We present a new measure of emotion perception called PAGE (Perceiving AI Generated Emotions). The test includes 20 emotions, expressed by ethnically diverse faces, spanning a wide range of ages. We created stimuli with generative AI, illu…
View article: PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research
PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research Open
This paper presents a new measure of emotional perceptiveness called PAGE: Perceiving AI Generated Emotions. The test includes a broad range of emotions, expressed by ethnically diverse faces, spanning a wide range of ages. We created stim…
View article: Economic Decision-Making Skill Predicts Income in Two Countries
Economic Decision-Making Skill Predicts Income in Two Countries Open
Jobs increasingly require good decision-making. Workers are valued not only for how much they can do, but also for their ability to decide what to do. In this paper we develop a theory and measurement paradigm for assessing individual vari…
View article: Team Players: How Social Skills Improve Team Performance
Team Players: How Social Skills Improve Team Performance Open
Most jobs require teamwork. Are some people good team players? In this paper, we design and test a new method for identifying individual contributions to team production. We randomly assign people to multiple teams and predict team perform…
View article: Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs
Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs Open
This study examines whether unobserved factors substantially bias education evaluations that rely on the Conditional Independence Assumption. We add 14 new within-study comparisons to the literature, all from primary schools in England. Ac…