@article{1440306,
      recid = {1440306},
      author = {Miehle, Juliana, and Minker, Wolfgang, and André,  Elisabeth, and Yoshino, Koichiro,},
      title = {Multimodal agents for ageing and multicultural societies :  communications of NII Shonan Meetings /},
      pages = {1 online resource :},
      abstract = {This book aims to explore and discuss theories and  technologies for the development of socially competent and  culture-aware embodied conversational agents for elderly  care. To tackle the challenges in ageing societies, this  book was written by experts who have a background in  assistive technologies for elderly care, culture-aware  computing, multimodal dialogue, social robotics and  synthetic agents. Chapter 1 presents a vision of an  intelligent agent to illustrate the current challenges for  the design and development of adaptive systems. Chapter 2  examines how notions of trust and empathy may be applied to  human-robot interaction and how it can be used to create  the next generation of emphatic agents, which address some  of the pressing issues in multicultural ageing societies.  Chapter 3 discusses multimodal machine learning as an  approach to enable more effective and robust modelling  technologies and to develop socially competent and  culture-aware embodied conversational agents for elderly  care. Chapter 4 explores the challenges associated with  real-world field tests and deployments. Chapter 5 gives a  short introduction to socio-cognitive language processing  that describes the idea of coping with everyday language,  irony, sarcasm, humor, paralinguistic information such as  the physical and mental state and traits of the dialogue  partner, and social aspects. This book grew out of the  Shonan Meeting seminar entitled Multimodal Agents for  Ageing and Multicultural Societies held in 2018 in Japan.  Researchers and practitioners will be helped to understand  the emerging field and the identification of promising  approaches from a variety of disciplines such as  human-computer interaction, artificial intelligence,  modelling, and learning.},
      url = {http://library.usi.edu/record/1440306},
      doi = {https://doi.org/10.1007/978-981-16-3476-5},
}