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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

BMBF - Federal Ministry of Education and Research

01IS17043

BMBF - Federal Ministry of Education and Research

Images

© EIT ICT Labs Germany GmbH

Software Campus logo

Publications about the project

Pablo Valdunciel; Omair Shahzad Bhatti; Michael Barz; Daniel Sonntag

In: ACM SIGIR Conference on Human Information Interaction and Retrieval. ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR-2022), March 14-18, Regensburg, Germany, ISBN 9781450391863, Association for Computing Machinery, 3/2022.

To the publication

Michael Barz; Omair Shahzad Bhatti; Daniel Sonntag

In: Frontiers in Computer Science, Vol. 3, Page 13, Frontiers Media S.A. 1/2022.

To the publication

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, Pages 13-18, ISBN 9781450384711, Association for Computing Machinery, New York, NY, USA, 2021.

To the publication