Alle Publikationen
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2006
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(2006): The influence of emotion recognition and emotion regulation on intercultural adjustment. In: INTERNATIONAL JOURNAL OF INTERCULTURAL RELATIONS 30 (3), S. 345-363. DOI: 10.1016/j.ijintrel.2005.08.006
Abstract: Previous studies have consistently shown emotion regulation to be an important predictor of intercultural adjustment. Emotional intelligence theory suggests that before people can regulate emotions they need to recognize them; thus emotion recognition ability should also predict intercultural adjustment. The present study tested this hypothesis in international students at three times during the school year. Recognition of anger and emotion regulation predicted positive adjustment; recognition of contempt, fear and sadness predicted negative adjustment. Emotion regulation did not mediate the relationship between emotion recognition and adjustment, and recognition and regulation jointly predicted adjustment. These results suggest recognition of specific emotions may have special functions in intercultural adjustment, and that emotion recognition and emotion regulation play independent roles in adjustment.
2001
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(2001): Let's talk!. Socially intelligent agents for language conversation training. In: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 31 (5), S. 465-471. DOI: 10.1109/3468.952722
Abstract: This paper promotes socially intelligent animated agents for the pedagogical task of English conversation training for native speakers of Japanese. Since student-agent conversations are realized as role-playing interactions, strong requirements are imposed on the agents' affective and social abilities. As a novel feature, social role awareness is introduced to animated conversational agents, that are by now strong affective reasoners, but otherwise often lack the social competence observed in humans. In particular, humans may easily adjust their behavior depending on their respective role in a social setting, whereas their synthetic pendants tend to be driven mostly by emotions and personality. Our main contribution is the incorporation of a "social filter program" to mental models of animated agents. This program may qualify an agent's expression of its emotional state by the social context, thereby enhancing the agent's believability as a conversational partner. Our implemented system is web-based and demonstrates socially aware animated agents in a virtual coffee shop environment. An experiment with our conversation system shows that users consider socially aware agents as more natural than agents that violate conventional practices.
Keywords: Adaptive Systeme, Agent, Computerwissenschaft, doppelter Treffer, Emotions, emotionssensitiv, Favoriten, Ingenieurswissenschaft, Interaktion, Kommunikation, Künstliche Intelligenz, Linguistik, Mensch-Technik-Relationen (MTR), Modelle/Theorien, Realtechnik, social filter program, social filter program for animated agents, Soziale Angemessenheit, soziale intelligente Agenten, sozialer Kontext, Sozialkompetenz, Soziosensitive Systeme, Spracherwerb, Teaching, Sprachverstehen, Technik, training in social competences, Volltreffer
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