RISE: an open-source architecture for interdisciplinary and reproducible human-robot interaction research

In this article, we present RISE-a obotics ntegration and cenario-Management xtensible-Architecture-for designing human-robot dialogs and conducting (HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly importan...

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Published inFrontiers in robotics and AI Vol. 10; p. 1245501
Main Authors Groß, André, Schütze, Christian, Brandt, Mara, Wrede, Britta, Richter, Birte
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 06.12.2023
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Summary:In this article, we present RISE-a obotics ntegration and cenario-Management xtensible-Architecture-for designing human-robot dialogs and conducting (HRI) studies. In current HRI research, interdisciplinarity in the creation and implementation of interaction studies is becoming increasingly important. In addition, there is a lack of reproducibility of the research results. With the presented open-source architecture, we aim to address these two topics. Therefore, we discuss the advantages and disadvantages of various existing tools from different sub-fields within robotics. Requirements for an architecture can be derived from this overview of the literature, which 1) supports interdisciplinary research, 2) allows reproducibility of the research, and 3) is accessible to other researchers in the field of HRI. With our architecture, we tackle these requirements by providing a which explains the robot behavior and allows introspection into the current state of the dialog. Additionally, it offers controlling possibilities to easily conduct studies. To achieve transparency, the dialog is modeled explicitly, and the robot behavior can be configured. Furthermore, the modular architecture offers an interface for external features and sensors and is expandable to new robots and modalities.
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Divesh Lala, Kyoto University, Japan
Edited by: Koji Inoue, Kyoto University, Japan
Reviewed by: Filippo Vella, National Research Council (CNR), Italy
ISSN:2296-9144
2296-9144
DOI:10.3389/frobt.2023.1245501