PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910634327670784 |
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| author | Weidmann, Ben Xu, Yixian |
| author_facet | Weidmann, Ben Xu, Yixian |
| contents | 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 stimuli with Generative AI, demonstrating the potential to build customizable assessments of emotional intelligence at relatively low cost. Study 1 describes the validation of the image set and test construction. Study 2 reports the psychometric properties of the test. Despite its brevity - 8 minutes on average - PAGE has strong convergent validity and moderately higher internal consistency than comparable measures. Study 3 explores predictive validity using a lab experiment in which we causally identify the contributions managers make to teams. PAGE scores strongly predict managers causal contributions to group success, a finding which is robust to controlling for personality and demographic characteristics. We also discussed the potential of Generative AI to automate development of non-cognitive skill assessments. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2410_03704 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research Weidmann, Ben Xu, Yixian Human-Computer Interaction 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 stimuli with Generative AI, demonstrating the potential to build customizable assessments of emotional intelligence at relatively low cost. Study 1 describes the validation of the image set and test construction. Study 2 reports the psychometric properties of the test. Despite its brevity - 8 minutes on average - PAGE has strong convergent validity and moderately higher internal consistency than comparable measures. Study 3 explores predictive validity using a lab experiment in which we causally identify the contributions managers make to teams. PAGE scores strongly predict managers causal contributions to group success, a finding which is robust to controlling for personality and demographic characteristics. We also discussed the potential of Generative AI to automate development of non-cognitive skill assessments. |
| title | PAGE: A Modern Measure of Emotion Perception for Teamwork and Management Research |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2410.03704 |