Myriam Lamolle

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In this paper we present a two-steps approach towards the creation of affective Embodied Conversational Agents (ECAs): annotation of a real-life non-acted emotional corpus and animation by copy-synthesis. The basis of our approach is to study how coders perceive and annotate at several levels the emotions observed in a corpus of emotionally rich TV video(More)
Due to the large amount of data generated by user interactions on the Web, some companies are currently innovating in the domain of data management by designing their own systems. Many of them are referred to as NoSQL databases, standing for 'Not only SQL'. With their wide adoption will emerge new needs and data integration will certainly be one of them. In(More)
NoSQL stores are emerging as an efficient alternative to relational database management systems in the context of big data. Many actors in this domain consider that to gain a wider adoption, several extensions have to be integrated. Some of them focus on the ways of proposing more schemas, supporting adapted declarative query languages and providing(More)
In view of creating Embodied Conversational Agent (ECA) able to display individualized behaviors, we propose a tax-onomy and a computational model of the influences, factors such as context environment, personality and culture may induce. Influences act not only on the type of the signals an agent conveys but also on the expressivity of the signals. Thus,(More)
In this paper, we propose an incremental validation method in the scope of a Model Driven Engineering (MDE) approach used to develop XML Schema models. The suggested MDE approach is based on an abstraction layer thanks to UML class diagrams, and on a series of transformations allowing the definition of XML Schema models. Our method of validation aims at(More)
Relations between emotions and multimodal behaviors have mostly been studied in the case of acted basic emotions. In this paper, we describe two experiments studying these relations with a copy-synthesis approach. We start from video clips of TV interviews including real-life behaviors. A protocol and a coding scheme have been defined for annotating these(More)
In this paper we present an Embodied Conversational Agent (ECA) model able to display rich verbal and non-verbal behaviors. The selection of these behaviors should depend not only on factors related to her individuality such as her culture, her social and professional role, her personality, but also on a set of contextual variables (such as her interlocutor(More)
We aim at creating an Embodied Conversational Agent (ECA) that would exhibit not only a consistent behavior with her personality and contextual environment factors but also that would be defined as an individual and not as a generic agent. The behavior of an agent depends not only on factors defining her individuality (such as her culture, her social and(More)