• Medientyp: E-Artikel
  • Titel: Chatbot Kim: A Digital Tutor on AI. How Advanced Dialog Design Creates Better Conversational Learning Experiences
  • Beteiligte: Kowald, Cäcilie; Bruns, Beate
  • Erschienen: International Association of Online Engineering (IAOE), 2020
  • Erschienen in: International Journal of Advanced Corporate Learning (iJAC)
  • Sprache: Nicht zu entscheiden
  • DOI: 10.3991/ijac.v13i3.17017
  • ISSN: 1867-5565
  • Schlagwörter: General Earth and Planetary Sciences ; General Environmental Science
  • Entstehung:
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  • Beschreibung: <jats:p>Conversational user interfaces, aka chatbots, offer new ways of interaction that can be used not only for task-led applications, but also for learning itself. Still, most conversational learning applications offer a predominantly one-directional dialog – either bot-led, with the user only confirming, or user-led, with the bot answering questions, but not going beyond. In contrast to these common approaches, learnbot Kim by time4you [1] not only conveys information, but wraps it in an equally entertaining and instructive chat, combining pre-defined dialog turns with a flexible dialog management. This article explains the design decisions made during the dialog development process and the underlying reasons. After having read this text, you will have a better idea of how dialog in conversational learning can be modeled to allow for a more natural conversational experience.</jats:p>
  • Zugangsstatus: Freier Zugang