{"b3f90b8922236ccac248f783843a3c1bmariawirzberger":{"DOI":"10.1007/978-3-031-34735-1_5","ISBN":"","ISSN":"","URL":"https://doi.org/10.1007/978-3-031-34735-1_5","abstract":"Affective Tutoring Systems (ATS) detect and mitigate critical emotional learner states with the aim of providing individualized support. In tutoring systems for safety-critical work environments, students are trained to achieve and maintain high performance, therefore an ATS should be capable of identifying critical emotional states hindering performance. Interindividual differences in the emotion-performance-relationship can be considered by using the ARC categorization system. The present contribution aims at developing a questionnaire-based method of classifying new learners to the categories. To that end, we investigated differences in personality traits between the different categories. In an airspace surveillance task, we measured performance, emotional valence, emotional arousal, and personality traits in N = 50 subjects. Results showed that a positive valence-performance-relationship, compared to a negative valence-performance-relationship, is associated with higher Neuroticism, lower Conscientiousness, and lower Openness to experience. There were no significant differences in the traits Agreeableness and Extraversion. Based on these results, a future ATS for safety-critical work environments could classify new learners in the ARCs using self-report data and thus dispense with physiological sensors. Thereby, user state diagnosis and evaluation for high performance is possible, setting the ground for an ATS adapting to critical emotional learner states.","annote":"","author":[{"family":"Schmitz-Hübsch","given":"Alina"},{"family":"Becker","given":"Ron"},{"family":"Wirzberger","given":"Maria"}],"citation-label":"schmitzhubsch2023personality","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Adaptive Instructional Systems. HCII 2023. Lecture Notes in Computer Science","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2023"]],"literal":"2023"},"event-place":"","id":"b3f90b8922236ccac248f783843a3c1bmariawirzberger","interhash":"24d07f98bb72c6d80a0bd07110ff47c6","intrahash":"b3f90b8922236ccac248f783843a3c1b","issue":"","issued":{"date-parts":[["2023"]],"literal":"2023"},"keyword":"myown simtech cognition learning performance imported emotion instruction personality llis","misc":{"doi":"10.1007/978-3-031-34735-1_5"},"note":"","number":"","number-of-pages":"15","page":"60–75","page-first":"60","publisher":"Springer","publisher-place":"","status":"","title":"Personality Traits in the Emotion-Performance-Relationship in Intelligent Tutoring Systems","type":"chapter","username":"mariawirzberger","version":"","volume":""},"35a2e1c8c96e1ff7fffaf8af1b87f059mariawirzberger":{"DOI":"10.3389/frbhe.2023.1223281","ISBN":"","ISSN":"","URL":"","abstract":"Following recent technological developments in the artificial intelligence space, artificial agents are increasingly taking over organizational tasks typically reserved for humans. Studies have shown that humans respond differently to this, with some being appreciative of their advice (algorithm appreciation), others being averse toward them (algorithm aversion), and others still fully relinquishing control to artificial agents without adequate oversight (automation bias). Using systems thinking, we analyze the existing literature on these phenomena and develop a conceptual model that provides an underlying structural explanation for their emergence. In doing so, we create a powerful visual tool that can be used to ground discussions about the impact artificial agents have on organizations and humans within them.","annote":"","author":[{"family":"Ðula","given":"Ivan"},{"family":"Berberena","given":"Tabea"},{"family":"Keplinger","given":"Ksenia"},{"family":"Wirzberger","given":"Maria"}],"citation-label":"dula2023hooked","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Frontiers in Behavioral Economics","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2023"]],"literal":"2023"},"event-place":"","id":"35a2e1c8c96e1ff7fffaf8af1b87f059mariawirzberger","interhash":"a4b58408db5b62e5283e2786b64298db","intrahash":"35a2e1c8c96e1ff7fffaf8af1b87f059","issue":"","issued":{"date-parts":[["2023"]],"literal":"2023"},"keyword":"myown iris simtech reflection AI automation systems bias organization llis algorithm","misc":{"doi":"10.3389/frbhe.2023.1223281"},"note":"","number":"","page":"1223281","page-first":"1223281","publisher":"","publisher-place":"","status":"","title":"Hooked on artificial agents: a systems thinking perspective","type":"article-journal","username":"mariawirzberger","version":"","volume":"2"}}