The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library
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Published By Springer International Publishing

9783030228941, 9783030228958

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Watching People Talk; How Machines Can Know We Understand Them—A Study of Engagement in a Conversational Corpus

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_7 ◽

2019 ◽

pp. 137-146

Author(s):

Nick Campbell

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Is It Possible to Perform “Liquefying” Actions in Conversational Analysis? The Detection of Structures in Indirect Observations

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_3 ◽

2019 ◽

pp. 45-67 ◽

Cited By ~ 3

Author(s):

M. Teresa Anguera

Keyword(s):

Conversational Analysis

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Linguistic and Contextual Clues of Intentions and Perspectives in Human Communication

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_1 ◽

2019 ◽

pp. 3-21

Author(s):

Enikő Németh T.

Keyword(s):

Human Communication

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The Teacher’s Body Communicates. Detection of Paraverbal Behaviour Patterns

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_2 ◽

2019 ◽

pp. 25-43

Author(s):

Marta Castañer ◽

Oleguer Camerino

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Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_8 ◽

2019 ◽

pp. 147-162

Author(s):

György Kovács ◽

István Szekrényes

Keyword(s):

Neural Network ◽

Change Detection

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Uncertainty in Conversation: Its Formal Cues Across Modalities and Time

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_6 ◽

2019 ◽

pp. 113-135

Author(s):

Laszlo Hunyadi

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Research Methods for Studying Daily Life: Experience Sampling and a Multilevel Approach to Study Time and Mood at Work

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_4 ◽

2019 ◽

pp. 69-94

Author(s):

Mariona Portell ◽

Robin M. Hogarth ◽

Anna Cuxart

Keyword(s):

Research Methods ◽

Life Experience ◽

Daily Life ◽

Experience Sampling ◽

Study Time ◽

Multilevel Approach

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The Observer Experiment: A View of the Dynamics of Multimodal Interaction

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library ◽

10.1007/978-3-030-22895-8_5 ◽

2019 ◽

pp. 95-109

Author(s):

Ghazaleh Esfandiari-Baiat ◽

Laszlo Hunyadi ◽

Anna Esposito

Keyword(s):

Multimodal Interaction

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The Temporal Structure of Multimodal Communication - Intelligent Systems Reference LibraryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Watching People Talk; How Machines Can Know We Understand Them—A Study of Engagement in a Conversational Corpus

Is It Possible to Perform “Liquefying” Actions in Conversational Analysis? The Detection of Structures in Indirect Observations

Linguistic and Contextual Clues of Intentions and Perspectives in Human Communication

The Teacher’s Body Communicates. Detection of Paraverbal Behaviour Patterns

Applying Neural Network Techniques for Topic Change Detection in the HuComTech Corpus

Uncertainty in Conversation: Its Formal Cues Across Modalities and Time

Research Methods for Studying Daily Life: Experience Sampling and a Multilevel Approach to Study Time and Mood at Work

The Observer Experiment: A View of the Dynamics of Multimodal Interaction

The Temporal Structure of Multimodal Communication - Intelligent Systems Reference Library
Latest Publications