Alle Publikationen
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2008
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(2008): Private emotions versus social interaction. A data-driven approach towards analysing emotion in speech. In: User Modeling and User-Adapted Interaction 18 (1-2), S. 175-206. DOI: 10.1007/s11257-007-9039-4
Abstract: The 'traditional' first two dimensions in emotion research are VALENCE and AROUSAL. Normally, they are obtained by using elicited, acted data. In this paper, we use realistic, spontaneous speech data from our 'AIBO' corpus (human-robot communication, children interacting with Sony's AIBO robot). The recordings were done in a Wizard-of-Oz scenario: the children believed that AIBO obeys their commands; in fact, AIBO followed a fixed script and often disobeyed. Five labellers annotated each word as belonging to one of eleven emotion-related states; seven of these states which occurred frequently enough are dealt with in this paper. The confusion matrices of these labels were used in a Non-Metrical Multi-dimensional Scaling to display two dimensions; the first we interpret as VALENCE, the second, however, not as AROUSAL but as INTERACTION, i.e., addressing oneself (angry, joyful) or the communication partner (motherese, reprimanding). We show that it depends on the specifity of the scenario and on the subjects' conceptualizations whether this new dimension can be observed, and discuss impacts on the practice of labelling and processing emotional data. Two-dimensional solutions based on acoustic and linguistic features that were used for automatic classification of these emotional states are interpreted along the same lines.
Keywords: AIBO, annotation, Arousal, categories, Communication, data-driven, deutsche Community, dimensions, emotion, emotion research, Emotionserkennung, Emotionssensitive Systeme, Interaction, Interaktionspartner, Kognitionswissenschaft/Social Sciences/Humanities, Kommunikation, Mensch oder Maschine, Mensch-Technik-Relationen (MTR), non-metrical multi-dimensional scaling, Psychologie, Rolle von Emotion, Realtechnik, script, Soziosensitive Systeme, speech, Technik, Valence 2006
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(2006) : Well done, Robot! The importance of praise and presence in human-robot collaboration: The 15th IEEE International Symposium on Robot and Human Interactive Communication, 2006: RO-MAN 2006 ; 6-8 Sept. 2006, University of Hertfordshire, Hatfield, United Kingdom ; proceedings: RO-MAN 2006: The 15th IEEE International Symposium on Robot and Human Interactive Communication: Hatfield: 9/6/2006 - 9/8/2006. IEEE International Symposium on Robot and Human Interactive Communication; IEEE Ro-Man: Piscataway, NJ: IEEE, S. 86-90
Abstract: This study reports on an experiment in which participants had to collaborate with either another human or a robot (partner). The robot would either be present in the room or only be represented on the participants' computer screen (presence). Furthermore, the participants' partner would either make 20 % errors or 40 % errors (error rate). We automatically measured the praising and punishing behavior of the participants towards their partners and also asked the participant to estimate their own behavior. The participants unconsciously praised Aibo more than the human partner, but punished it just as much. Robots that adapt to the users' behavior should therefore pay extra attention to the users' praises, compared to their punishments
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