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

Bundesministerium für Bildung und Forschung

01IS17043

Bundesministerium für Bildung und Forschung

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Publications about the project

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, Sven Stauden, 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) June 2-5 Stuttgart Germany Association for Computing Machinery New York, NY, USA 5/2020.

To the publication
Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, Dietrich Klakow

In: Carlos Martin-Vide, Matthew Purver, Senja Pollak (editor). Statistical Language and Speech Processing 7th International Conference Proceedings. Statistical Language and Speech Processing (SLSP-2019) 7th located at SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. October 14-16 Ljubljana Slovenia Pages 261-272 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence (LNCS) 11816 ISBN 978-3-030-31372-2 Springer Heidelberg 9/2019.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz