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DICE-R: defining human-robot interaction with composite events

Authors:

Jan Van den Bergh and

Kris LuytenAuthors Info & Claims

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 2017

Pages 117 - 122

https://doi.org/10.1145/3102113.3102147

Published: 26 June 2017 Publication History

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Abstract

Collaborative robots, or cobots, are believed to be a major factor to further increase productivity and to support workers in performing straining, repetitive tasks and tasks that benefit from a third hand. Human workers prefer to interact with cobots in similar ways as with their human peers; using gestures, voice and peripheral awareness. It is thus important to enable cobots to engage in such interactions and to react appropriately. In this paper, we propose a domain-specific textual language, DICE-R, to define human-robot interactions using composite events. DICE-R enables to do this without reference to the automatically generated finite state machines used to recognize these temporal combinations of events from different sources.

We introduce the concrete syntax of a DICE-R script, an example application developed using DICE-R, as well as a discussion of how the specified interaction rules are mapped on executable finite state machines.

References

[1]

2015. ActionLib package summary (wiki). (12 2015). http://www.ros.org/wiki/actionlib Last accessed on May 23, 2016.

Google Scholar

[2]

Jim Barnett, Rahul Akolkar, RJ Auburn, Michael Bodell, Daniel C Burnett, Jerry Carter, Scott McGlashan, Torbjörn Lager, Mark Helbing, Rafah Hosn, and others. 2007. State Chart XML (SCXML): State machine notation for control abstraction. (2007). http://www.w3.org/TR/2015/REC-scxml-20150901/ W3C working draft.

Google Scholar

[3]

Julio Cano, Gwenaël Delaval, and Eric Rutten. 2014. Coordination of ECA rules by verification and control. In International Conference on Coordination Languages and Models. Springer, 33--48.

Digital Library

Google Scholar

[4]

Clement Creusot. 2016. ActBot: Sharing high-level robot AI scripts. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). 172--178.

Crossref

Google Scholar

[5]

Fredy Cuenca, Jan Van den Bergh, Kris Luyten, and Karin Coninx. 2016. Hasselt: Rapid Prototyping of Multimodal Interactions with Composite Event-Driven Programming. Journal of People-Oriented Programming 5, 1 (2016).

Digital Library

Google Scholar

[6]

Fredy Cuenca Lucero, Karin Coninx, Kris Luyten, and Davy Vanacken. 2014. Graphical Toolkits for Rapid Prototyping of Multimodal Systems: A Survey. Interacting with Computers (2014).

Crossref

Google Scholar

[7]

B. Dumas, D. Lalanne, and S. Oviatt. 2009. Multimodal Interfaces: A Survey of Principles, Models and Frameworks. Human Machine Interaction 5440 (2009), 3--26.

Digital Library

Google Scholar

[8]

Emmanuel Ferreira and Fabrice Lefevre. 2015. Reinforcement-learning based dialogue system for human-robot interactions with socially-inspired rewards. Computer Speech & Language 34, 1 (2015), 256--274.

Digital Library

Google Scholar

[9]

Manuel Giuliani and Alois Knoll. 2008. MultiML: A General Purpose Representation Language for Multimodal Human Utterances. In Proceedings of the 10th International Conference on Multimodal Interfaces (ICMI '08). ACM, New York, NY, USA, 165--172.

Digital Library

Google Scholar

[10]

Lorenzo Lucignano, Francesco Cutugno, Silvia Rossi, and Alberto Finzi. 2013. A Dialogue System for Multimodal Human-robot Interaction. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction (ICMI '13). ACM, New York, NY, USA, 197--204.

Digital Library

Google Scholar

[11]

Morgan Quigley, Ken Conley, Brian Gerkey, Josh Faust, Tully Foote, Jeremy Leibs, Rob Wheeler, and Andrew Y Ng. 2009. ROS: an open-source Robot Operating System. In ICRA workshop on open source software, Vol. 3. 5.

Google Scholar

[12]

Markus Rickert, Mary Ellen Foster, Manuel Giuliani, Tomas By, Giorgio Panin, and Alois Knoll. 2007. Integrating language, vision and action for human robot dialog systems. In International Conference on Universal Access in Human-Computer Interaction. Springer, 987--995.

Crossref

Google Scholar

[13]

Gabriel Skantze and Samer Al Moubayed. 2012. IrisTK: A Statechart-based Toolkit for Multi-party Face-to-face Interaction. In Proceedings of the 14th ACM International Conference on Multimodal Interaction (ICMI '12). ACM, New York, NY, USA, 69--76.

Digital Library

Google Scholar

[14]

Jan Van den Bergh, Fredy Cuenca Lucero, Kris Luyten, and Karin Coninx. 2016. Toward specifying Human-Robot Collaboration with composite events. In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). 896--901.

Crossref

Google Scholar

Cited By

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Valner RWanna SKruusamäe KPryor M(2022)Unified Meaning Representation Format (UMRF) - A Task Description and Execution Formalism for HRIACM Transactions on Human-Robot Interaction10.1145/352258011:4(1-25)Online publication date: 8-Sep-2022
https://dl.acm.org/doi/10.1145/3522580
Hossain MRoy BRoy CSchneider K(2020)VizSciFlow: A Visually Guided Scripting Framework for Supporting Complex Scientific Data AnalysisProceedings of the ACM on Human-Computer Interaction10.1145/33949764:EICS(1-37)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3394976
El Makrini IElprama SVan den Bergh JVanderborght BKnevels AJewell CStals FDe Coppel GRavyse IPotargent JBerte JDiericx BWaegeman TJacobs A(2018)Working with Walt: How a Cobot Was Developed and Inserted on an Auto Assembly LineIEEE Robotics & Automation Magazine10.1109/MRA.2018.281594725:2(51-58)Online publication date: Jun-2018
https://doi.org/10.1109/MRA.2018.2815947
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DICE-R: defining human-robot interaction with composite events

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Published In

EICS '17: Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 2017

164 pages

ISBN:9781450350839

DOI:10.1145/3102113

Conference Chairs:
José Creissac Campos,
Nuno Nunes

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2017

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EICS '17

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SIGCHI

EICS '17: ACM SIGCHI Symposium on Engineering Interactive Computing Systems

June 26 - 29, 2017

Lisbon, Portugal

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Overall Acceptance Rate 73 of 299 submissions, 24%

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Cited By

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Valner RWanna SKruusamäe KPryor M(2022)Unified Meaning Representation Format (UMRF) - A Task Description and Execution Formalism for HRIACM Transactions on Human-Robot Interaction10.1145/352258011:4(1-25)Online publication date: 8-Sep-2022
https://dl.acm.org/doi/10.1145/3522580
Hossain MRoy BRoy CSchneider K(2020)VizSciFlow: A Visually Guided Scripting Framework for Supporting Complex Scientific Data AnalysisProceedings of the ACM on Human-Computer Interaction10.1145/33949764:EICS(1-37)Online publication date: 18-Jun-2020
https://dl.acm.org/doi/10.1145/3394976
El Makrini IElprama SVan den Bergh JVanderborght BKnevels AJewell CStals FDe Coppel GRavyse IPotargent JBerte JDiericx BWaegeman TJacobs A(2018)Working with Walt: How a Cobot Was Developed and Inserted on an Auto Assembly LineIEEE Robotics & Automation Magazine10.1109/MRA.2018.281594725:2(51-58)Online publication date: Jun-2018
https://doi.org/10.1109/MRA.2018.2815947
Van den Bergh Jvan Deurzen BVeuskens TRamakers RLuyten K(2018)Towards Tool-Support for Robot-Assisted Product Creation in Fab LabsHuman-Centered Software Engineering10.1007/978-3-030-05909-5_13(219-230)Online publication date: 31-Dec-2018
https://doi.org/10.1007/978-3-030-05909-5_13

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