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Found 13 papers, 1 papers with code
Are You Smiling When I Am Speaking?
The aim of this study is to investigate conversational feedbacks that contain smiles and laughs.
Annotation of Communicative Functions of Short Feedback Tokens in Switchboard
There has been a lot of work on predicting the timing of feedback in conversational systems.
Towards the generation of synchronized and believable non-verbal facial behaviors of a talking virtual agent
This paper introduces a new model to generate rhythmically relevant non-verbal facial behaviors for virtual agents while they speak.
Two-level classification for dialogue act recognition in task-oriented dialogues
Dialogue act classification becomes a complex task when dealing with fine-grain labels.
BrainPredict: a Tool for Predicting and Visualising Local Brain Activity
In this paper, we present a tool allowing dynamic prediction and visualization of an individual{'}s local brain activity during a conversation.
Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning
In this paper we introduce this multimodal corpus which includes neural data from functional magnetic resonance imaging (fMRI), physiological data (blood flow pulse and respiration), transcribed conversational data, as well as face and eye-tracking recordings.
LIS at SemEval-2018 Task 2: Mixing Word Embeddings and Bag of Features for Multilingual Emoji Prediction
In this paper we present the system submitted to the SemEval2018 task2 : Multilingual Emoji Prediction.
De l'usage r\'eel des emojis \`a une pr\'ediction de leurs cat\'egories (From Emoji Usage to Emoji-Category Prediction)
L{'}utilisation des emojis dans les messageries sociales n{'}a eu de cesse d{'}augmenter ces derni{\`e}res ann{\'e}es.
Une plateforme de recommandation automatique d'emojis (An emoji recommandation platform)
Nous pr{\'e}sentons une interface de recommandation d{'}emojis porteurs de sentiments qui utilise un mod{\`e}le de pr{\'e}diction appris sur des messages informels priv{\'e}s. Chacun {\'e}tant associ{\'e} {\`a} deux scores de polarit{\'e} pr{\'e}dits.
A model to generate adaptive multimodal job interviews with a virtual recruiter
This paper presents an adaptive model of multimodal social behavior for embodied conversational agents.
Mining a multimodal corpus for non-verbal behavior sequences conveying attitudes
Interpersonal attitudes are expressed by non-verbal behaviors on a variety of different modalities.
Expressing social attitudes in virtual agents for social training games
In this paper, we propose a model of social attitudes that enables a virtual agent to reason on the appropriate social attitude to express during the interaction with a user given the course of the interaction, but also the emotions, mood and personality of the agent.
