Project

SciBot

Data Science Chatbot: A text-based interface, that learns from experts to support experts

Data Science Chatbot: A text-based interface, that learns from experts to support experts

The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes one or more expert users that interact with a multimodal-multisensor interface. In particular, we focus on applications of eye tracking and speech-based input modalities for semantic search applications.

SciBot is a SoftwareCampus project (funded by BMBF).

Partners

DATEV eG

Sponsors

Federal Ministry of Education and Research (BMBF)

01IS17043

Federal Ministry of Education and Research (BMBF)

Publications about the project

Michael Barz, Omair Shahzad Bhatti, Bengt Lüers, Alexander Prange, Daniel Sonntag

In: Companion Publication of the 2021 International Conference on Multimodal Interaction. ACM International Conference on Multimodal Interaction (ICMI-2021) October 18-22 Montréal QC Canada Page 8 ACM New York, NY, USA 2021.

To the publication
Rajarshi Biswas, Michael Barz, Daniel Sonntag

In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI) 36 Pages 1-14 Springer 7/2020.

To the publication
Michael Barz, Daniel Sonntag

In: Andreas Bulling , Anke Huckauf , Eakta Jain , Ralph Radach , Daniel Weiskopf (editor). ACM Symposium on Eye Tracking Research and Applications. Symposium on Eye Tracking Research & Applications (ETRA-2020) Stuttgart Germany Association for Computing Machinery New York, NY, USA 5/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz