Advances in Natural Multimodal Dialogue Systems by Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen

By Jan van Kuppevelt, Laila Dybkjær, Niels Ole Bernsen

References seventy four half II Annotation and research of Multimodal info: Speech and Gesture four shape seventy nine Craig H. Martell 1. advent seventy nine 2. constitution of shape eighty three. Annotation Graphs eighty five four. Annotation instance 86 five. initial Inter-Annotator contract effects 88 6. end: functions to HLT and HCI? ninety Appendix: different instruments, Schemes and strategies of Gesture research ninety one References ninety five five ninety seven at the Relationships between Speech, Gestures, and item Manipulation in digital Environments: preliminary proof Andrea Corradini and Philip R. Cohen 1. creation ninety seven 2. examine ninety nine three. info research a hundred and one four. effects 103 five. dialogue 106 6. similar paintings 106 7. destiny paintings 108 eight. Conclusions 108 Appendix: Questionnaire MYST III - EXILE a hundred and ten References 111 6 113 Analysing Multimodal conversation Patrick G. T. Healey, Marcus Colman and Mike Thirlwell 1. advent 113 2. Breakdown and service 117 three. Analysing Communicative Co-ordination one hundred twenty five four. dialogue 126 References 127 7 131 Do Oral Messages support visible seek? Noëlle Carbonell and Suzanne Kieffer 1. Context and Motivation 131 2. method and Experimental Set-Up 134 three. effects: Presentation and dialogue 141 four. end 153 References 154 Contents vii eight 159 Geometric and Statistical techniques to Audiovisual Segmentation Trevor Darrell, John W. Fisher III, Kevin W. Wilson, and Michael R. Siracusa 1. advent 159 2. similar paintings one hundred sixty three. Multimodal Multisensor area 162 four. effects 166 five. unmarried Multimodal Sensor area 167 6.

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2000c]. Next to these, the most important use of nonverbal behaviour in social dialogue is the display of interpersonal attitude [Argyle, 1988]. The display of positive or negative attitude can greatly influence whether we approach someone or not and our initial perceptions of them if we do. The most consistent finding in this area is that the use of nonverbal “immediacy behaviours” – close conversational distance, direct body and facial orientation, forward lean, increased and direct gaze, smiling, pleasant facial expressions and facial animation in general, nodding, frequent gesturing and postural openness – projects liking for the other and engagement in the interaction, and is correlated with increased solidarity [Argyle, 1988; Richmond and McCroskey, 1995].

That is, in the face-to-face, task-only condition, both verbal and nonverbal channels appear to have inadvertently indicated that REA was an introvert (also supported by the comments that REA’s gaze-away behaviour was too frequent, an indication of introversion [Wilson, 1977]), and in this condition we find the introverts trusting more, and extroverts trusting less. e. on the phone), yielding trust ratings that are close to the overall mean. 01). Passive subjects felt more comfortable interacting with REA than active subjects did, regardless of whether the interaction was face-to-face or on the phone, or whether REA used social dialogue or not.

Note that these personality scales were administered on the post-test questionnaire. For the purposes of this experiment, therefore, subjects who scored over the mean on introversion-extroversion were said to be extroverts, while those who scored under the mean were said to be introverts. 3 Behavioural measures. Rates of speech disfluency (as defined in [Oviatt, 1995]) and utterance length were coded from the video data. Observation of the videotaped data made it clear that some subjects took the initiative in the conversation, while others allowed REA to lead.

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