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Embodied Conversation: A Personalized Conversational HCI Interface for Ambient Intelligence

Embodied Conversation: A Personalized Conversational HCI Interface for Ambient Intelligence

Andrej Zgank, Izidor Mlakar, Uros Berglez, Danilo Zimsek, Matej Borko, Zdravko Kacic, Matej Rojc
Copyright: © 2021 |Pages: 17
ISBN13: 9781799834731|ISBN10: 1799834735|EISBN13: 9781799834748
DOI: 10.4018/978-1-7998-3473-1.ch076
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MLA

Zgank, Andrej, et al. "Embodied Conversation: A Personalized Conversational HCI Interface for Ambient Intelligence." Encyclopedia of Organizational Knowledge, Administration, and Technology, edited by Mehdi Khosrow-Pour D.B.A., IGI Global, 2021, pp. 1091-1107. https://doi.org/10.4018/978-1-7998-3473-1.ch076

APA

Zgank, A., Mlakar, I., Berglez, U., Zimsek, D., Borko, M., Kacic, Z., & Rojc, M. (2021). Embodied Conversation: A Personalized Conversational HCI Interface for Ambient Intelligence. In M. Khosrow-Pour D.B.A. (Ed.), Encyclopedia of Organizational Knowledge, Administration, and Technology (pp. 1091-1107). IGI Global. https://doi.org/10.4018/978-1-7998-3473-1.ch076

Chicago

Zgank, Andrej, et al. "Embodied Conversation: A Personalized Conversational HCI Interface for Ambient Intelligence." In Encyclopedia of Organizational Knowledge, Administration, and Technology, edited by Mehdi Khosrow-Pour D.B.A., 1091-1107. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3473-1.ch076

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Abstract

The chapter presents an overview of human-computer interfaces, which are a crucial element of an ambient intelligence solution. The focus is given to the embodied conversational agents, which are needed to communicate with users in a most natural way. Different input and output modalities, with supporting methods, to process the captured information (e.g., automatic speech recognition, gesture recognition, natural language processing, dialog processing, text to speech synthesis, etc.), have the crucial role to provide the high level of quality of experience to the user. As an example, usage of embodied conversational agent for e-Health domain is proposed.

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