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Human Computer Interaction for Intelligent Systems

Contributor(s): Material type: TextTextLanguage: English Publication details: MDPI 2023Description: 330pagesISBN:
  • 978-3-0365-6577-4
  • 978-3-0365-6576-7
Subject(s): Online resources: Summary: The further development of human–computer interaction applications is still in great demand as users expect more natural interactions. For example, speech communication in many languages is expected as a basic feature for intelligent systems, such as robotic systems, autonomous vehicles, or virtual assistants. For this Special Issue, we invited submissions from researchers addressing the unique opportunities and challenges associated with human–computer interaction with intelligent systems. We encouraged authors to submit reports describing systems built for different languages and multilingual systems. We also invited submissions from researchers studying the linguistic, emotional, prosodic, and dialogue aspects of speech communication. We proposed to have a dialogue about other input and output modalities, including multimodal systems, fusion/fission algorithms, and deep learning methods. We encouraged the authors to report in detail the state-of-art results, and provide useful reviews and data used to build such systems to support development in those areas. The rapidly growing domain of virtual reality applications is of interest both as an application domain in which new interfaces and interaction methods are needed and as a potential testbed for evaluating speech and other interface modalities.
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The further development of human–computer interaction applications is still in great demand as users expect more natural interactions. For example, speech communication in many languages is expected as a basic feature for intelligent systems, such as robotic systems, autonomous vehicles, or virtual assistants. For this Special Issue, we invited submissions from researchers addressing the unique opportunities and challenges associated with human–computer interaction with intelligent systems. We encouraged authors to submit reports describing systems built for different languages and multilingual systems. We also invited submissions from researchers studying the linguistic, emotional, prosodic, and dialogue aspects of speech communication. We proposed to have a dialogue about other input and output modalities, including multimodal systems, fusion/fission algorithms, and deep learning methods. We encouraged the authors to report in detail the state-of-art results, and provide useful reviews and data used to build such systems to support development in those areas. The rapidly growing domain of virtual reality applications is of interest both as an application domain in which new interfaces and interaction methods are needed and as a potential testbed for evaluating speech and other interface modalities.

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