• Media type: E-Article
  • Title: Chatbot Kim: A Digital Tutor on AI. How Advanced Dialog Design Creates Better Conversational Learning Experiences
  • Contributor: Kowald, Cäcilie; Bruns, Beate
  • imprint: International Association of Online Engineering (IAOE), 2020
  • Published in: International Journal of Advanced Corporate Learning (iJAC)
  • Language: Not determined
  • DOI: 10.3991/ijac.v13i3.17017
  • ISSN: 1867-5565
  • Keywords: General Earth and Planetary Sciences ; General Environmental Science
  • Origination:
  • Footnote:
  • Description: <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>
  • Access State: Open Access