Expressing social attitudes in virtual agents for social training games
Expressing social attitudes in virtual agents for social training games
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在社交训练游戏的虚拟代理中表达社交态度
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
C. Pelachaud
中科院分区：
文献类型：
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作者：
N. Sabouret;Hazaël Jones;M. Ochs;Mathieu Chollet;C. Pelachaud
在过去的十年中，虚拟代理在社交教练中的使用迅速增加。为了在不同于真实的生活的不同情况下训练用户，虚拟代理应该能够表达不同的社会态度。在本文中，我们提出了一个模型的社会态度，使一个虚拟代理的原因，在适当的社会态度，以表达在与用户的互动过程中的互动，而且情绪，情绪和个性的代理。此外，该模型使虚拟代理通过其非语言行为来展示其社会态度。所提出的模型已经开发的工作面试模拟的背景下。开发这种模式所采用的方法是理论和经验相结合的方法。事实上，该模型的基础上都在人文和社会科学的社会态度的文献，但也对工作面试的视听语料库和事后采访的招聘人员在工作面试中表达的态度的分析。
The use of virtual agents in social coaching has increased rapidly in the last decade. In order to train the user in different situations than can occur in real life, the virtual agent should be able to express different social attitudes. 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. Moreover, the model enables the virtual agent to display its social attitude through its non-verbal behaviour. The proposed model has been developed in the context of job interview simulation. The methodology used to develop such a model combined a theoretical and an empirical approach. Indeed, the model is based both on the literature in Human and Social Sciences on social attitudes but also on the analysis of an audiovisual corpus of job interviews and on post-hoc interviews with the recruiters on their expressed attitudes during the job interview.