Towards Interactive Agents that Infer Emotions from Voice and Context Information
نویسندگان
چکیده
منابع مشابه
Towards Interactive Agents that Infer Emotions from Voice and Context Information
Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to understand the user`s emotions, to be able to provide natural interaction with humans. However, to infer a conversation partner’s emotional state, humans typically make use of contextual information as well. This work proposes an architecture to extract emoti...
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Emotions are increasingly and controversially central to our public life. Compared to text or image data, voice is the most natural and direct way to express ones’ emotions in real-time. With the increasing adoption of smart phone voice dialogue applications (e.g., Siri and Sogou Voice Assistant), the large-scale networked voice data can help us better quantitatively understand the emotional wo...
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Research and development in the domain of intelligent information agents aims at providing innovative solutions to the challenges of the current and future information landscape, which is largely dominated by Internet-based, pervasive computing infrastructures, and huge volumes of heterogeneous, volatile, redundant, and geographically dispersed data. The main challenges are how to discover, int...
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Intelligent behaviours have been traditionally considered exclusively as products of pure rationality processes. Considering other influential factors, such as emotions, has been accused of being “non scientific”. However, pure rational processes fail when trying to explain most of human behaviours, in which emotion plays a key role. Nevertheless, emotional factors add an extra complexity to ag...
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ژورنال
عنوان ژورنال: EAI Endorsed Transactions on Creative Technologies
سال: 2017
ISSN: 2409-9708
DOI: 10.4108/eai.4-9-2017.153054