ACM CHI21 Award for argumentation chatbot "ArgueTutor

At the ACM Conference on Human Factors in Computing (CHI) in early 2021, the paper by Thiemo Wambsganss (University of St Gallen), Tobias Küng (University of St Gallen),, Matthias Söllner (University of Kassel) and Jan Marco Leimeister (University of St Gallen and University of Kassel). about a chatbot called ArgueTutor was awarded the "ACM Honourable Mention Award".  

The ACM Conference on Human Factors in Computing Systems (CHI) is the most prestigious conference in the field of Human-Computer Interaction. It was to have been held in Japan this year, but was then held in virtual format from May 8 - 13, 2021.

In the paper "ArgueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills", the authors present an AI-based chatbot called ArgueTutor that helps students train their argumentation skills independent of lecturers, time and space.

Jan Marco Leimeister's department was also represented with other contributions at this year's conference:

• Suzanne Tolmeijer, Naim Zierau, Andreas Janson, Jalil Sebastian Wahdatehagh, Jan Marco Leimeister, and Abraham Bernstein. 2021. female by default? - Exploring the Effect of Voice Assistant Gender and Pitch on Trait and Trust Attribution. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). Association for Computing Machinery, New York, NY, USA, Article 455, 1-7. DOI:https://doi.org/10.1145/3411763.3451623
• Thiemo Wambsganss. 2021. designing adaptive reasoning learning systems based on artificial intelligence. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21). Association for Computing Machinery, New York, NY, USA, Article 66, 1-5. DOI:https://doi.org/10.1145/3411763.3443422
• Thiemo Wambsganss, Tobias Kueng, Matthias Soellner, and Jan Marco Leimeister. 2021. argueTutor: An Adaptive Dialog-Based Learning System for Argumentation Skills. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 683, 1-13. DOI:https://doi.org/10.1145/3411764.3445781