Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust

Mark Adamik; Asger Printz Madsen; Matthias Rehm

doi:10.1109/RO-MAN53752.2022.9900613

Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust

Mark Adamik
, Asger Printz Madsen
, Matthias Rehm

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In order to test how explanations affect a user working together with a collaborative robot, we created a test scenario where a user sorts trash together with a collaborative robot. Sometimes the robot is not able to fulfill its part of the task. Different modalities (textual, graphical, both) for explaining this error to the user are tested in a between subjects design and the effects on task performance, cognitive load and trust are analyzed.

Original language	English
Title of host publication	2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Subtitle of host publication	[Proceedings]
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1252-1257
Number of pages	6
ISBN (Electronic)	9781728188591
ISBN (Print)	9781665406802
DOIs	https://doi.org/10.1109/RO-MAN53752.2022.9900613
Publication status	Published - 30 Sept 2022
Event	31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022 - Napoli, Italy Duration: 29 Aug 2022 → 2 Sept 2022

Conference

Conference	31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022
Country/Territory	Italy
City	Napoli
Period	29/08/22 → 2/09/22

Bibliographical note

Funding Information:
The work described in this paper was funded by the Independent Research Fund Denmark, grant number 1032-00311B. 1Mark Adamik is with the Faculty of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands [email protected] 2Asger Printz is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] 3Matthias Rehm is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected]

Publisher Copyright:
© 2022 IEEE.

Funding

The work described in this paper was funded by the Independent Research Fund Denmark, grant number 1032-00311B. 1Mark Adamik is with the Faculty of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands [email protected] 2Asger Printz is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] 3Matthias Rehm is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected]

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/RO-MAN53752.2022.9900613

Persistent URL (handle)

Persistent link

Cite this

Adamik, M., Madsen, A. P., & Rehm, M. (2022). Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): [Proceedings] (pp. 1252-1257). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RO-MAN53752.2022.9900613

@inproceedings{77922e25cc7746e28a968a573355ed5d,

title = "Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust",

abstract = "In order to test how explanations affect a user working together with a collaborative robot, we created a test scenario where a user sorts trash together with a collaborative robot. Sometimes the robot is not able to fulfill its part of the task. Different modalities (textual, graphical, both) for explaining this error to the user are tested in a between subjects design and the effects on task performance, cognitive load and trust are analyzed.",

author = "Mark Adamik and Madsen, \{Asger Printz\} and Matthias Rehm",

note = "Funding Information: The work described in this paper was funded by the Independent Research Fund Denmark, grant number 1032-00311B. 1Mark Adamik is with the Faculty of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands [email protected] 2Asger Printz is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] 3Matthias Rehm is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] Publisher Copyright: {\textcopyright} 2022 IEEE.; 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022 ; Conference date: 29-08-2022 Through 02-09-2022",

year = "2022",

month = sep,

day = "30",

doi = "10.1109/RO-MAN53752.2022.9900613",

language = "English",

isbn = "9781665406802",

pages = "1252--1257",

booktitle = "2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Adamik, M, Madsen, AP & Rehm, M 2022, Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust. in 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., pp. 1252-1257, 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022, Napoli, Italy, 29/08/22. https://doi.org/10.1109/RO-MAN53752.2022.9900613

Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust. / Adamik, Mark; Madsen, Asger Printz; Rehm, Matthias.
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1252-1257.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Explainability in Collaborative Robotics

T2 - 31st IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2022

AU - Adamik, Mark

AU - Madsen, Asger Printz

AU - Rehm, Matthias

N1 - Funding Information: The work described in this paper was funded by the Independent Research Fund Denmark, grant number 1032-00311B. 1Mark Adamik is with the Faculty of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands [email protected] 2Asger Printz is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] 3Matthias Rehm is with the Technical Faculty of IT and Design, Aalborg University, 9000 Aalborg, Denmark [email protected] Publisher Copyright: © 2022 IEEE.

PY - 2022/9/30

Y1 - 2022/9/30

N2 - In order to test how explanations affect a user working together with a collaborative robot, we created a test scenario where a user sorts trash together with a collaborative robot. Sometimes the robot is not able to fulfill its part of the task. Different modalities (textual, graphical, both) for explaining this error to the user are tested in a between subjects design and the effects on task performance, cognitive load and trust are analyzed.

AB - In order to test how explanations affect a user working together with a collaborative robot, we created a test scenario where a user sorts trash together with a collaborative robot. Sometimes the robot is not able to fulfill its part of the task. Different modalities (textual, graphical, both) for explaining this error to the user are tested in a between subjects design and the effects on task performance, cognitive load and trust are analyzed.

UR - https://www.scopus.com/pages/publications/85140770700

UR - https://www.scopus.com/pages/publications/85140770700#tab=citedBy

U2 - 10.1109/RO-MAN53752.2022.9900613

DO - 10.1109/RO-MAN53752.2022.9900613

M3 - Conference contribution

AN - SCOPUS:85140770700

SN - 9781665406802

SP - 1252

EP - 1257

BT - 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 29 August 2022 through 2 September 2022

ER -

Adamik M, Madsen AP, Rehm M. Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust. In 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): [Proceedings]. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1252-1257 Epub 2022 Aug 29. doi: 10.1109/RO-MAN53752.2022.9900613

Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust

Abstract

Conference

Bibliographical note

Funding

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this