Lab

iXperience Lab – intelligent interaction & immersive experience Lab

About the lab

The iXperience Lab deals with intelligent and immersive systems in order to further develop the experience in human-computer interaction as well as in human-computer-human interaction. The task of the lab is to give students the opportunity to gain experience with current technologies and to be able to realize their own projects. The lab is also used in research and development. Not only technically demanding challenges are tackled, e.g. gesture and speech recognition or augmented & virtual reality, new approaches are pursued, e.g. Calm Computing and Deep Learning, but also knowledge from the fields of psychology, sociology, cognition and design is applied. In cooperation with industry and museums, application-related projects are realized, demonstrated and evaluated.

Featured research (1)

Educational chatbots promise to be valuable tools for educational learning scenarios. However their use is not common yet. Therefore, an onboarding process is required. We compare two onboarding processes for our self-developed educational chatbot system which supports students in knowledge acquisition and review using lecture slides as content input: In one onboarding scenario users can create an account via a form without interacting with the chatbot and in the other solely by chatting with the chatbot. After creating an account, users test our system. We fond that users who are onboarded through a conversation find the chatbot more intuitive to use, conversations more natural, the navigation easier and conversation quality better than the control group. This can be attributed to the chatbot being perceived as a conversation partner right from the beginning – otherwise it was observed that the system is rather used like a search engine. We therefore conclude that how the onboarding process is designed has a significant impact on the general perception of the educational chatbot system and one should focus on presenting the chatbot as a conversation partner right from the beginning.

Lab head

Matthias Wölfel
Department
  • Department of Computer Science

Members (11)

Daniel Hepperle
  • Karlsruhe University of Applied Sciences
Karin Pietruska
  • McGill University
Christian Felix Purps
  • Karlsruhe University of Applied Sciences
Jonas Deuchler
  • Karlsruhe University of Applied Sciences
Yannick Weiss
  • Ludwig-Maximilians-University of Munich
Melinda C. Braun
  • Karlsruhe University of Applied Sciences
Kevin German
  • Karlsruhe University of Applied Sciences
Andreas Reich
  • University of Hohenheim
Emilian Stoimenov
Emilian Stoimenov
  • Not confirmed yet
Anna Reinhardt
Anna Reinhardt
  • Not confirmed yet

Alumni (1)

Andreas Sieß
  • Hochschule Bonn-Rhein-Sieg