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

Mark Adamik; Asger Printz; 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, Matthias Rehm

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

1 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication : Social, Asocial, and Antisocial Robots
Antal sider	6
Forlag	IEEE
Publikationsdato	2022
Sider	1252-1257
ISBN (Trykt)	978-1-6654-0680-2
ISBN (Elektronisk)	978-1-7281-8859-1
DOI	https://doi.org/10.1109/RO-MAN53752.2022.9900613
Status	Udgivet - 2022
Begivenhed	31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Napoli, Italien Varighed: 29 aug. 2022 → 2 sep. 2022

Konference

Konference	31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
Land/Område	Italien
By	Napoli
Periode	29/08/2022 → 02/09/2022

Navn	IEEE RO-MAN proceedings
ISSN	1944-9445

FN’s Verdensmål

Denne publikation bidrager til følgende verdensmål

Adgang til dokumentet

10.1109/RO-MAN53752.2022.9900613

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Andre filer og links

Link to publication in Scopus

RETRO: Regulating Trust in Human Robot Interaction
Rehm, M. & Fischer, K.
Danmarks Frie Forskningsfond
01/09/2021 → 31/03/2025
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{d6602ddc91054506892daf4a626dbe2d,

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.",

keywords = "Human Robot Collaboration, trust, Explainability",

author = "Mark Adamik and Asger Printz and Matthias Rehm",

year = "2022",

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

language = "English",

isbn = "978-1-6654-0680-2",

series = "IEEE RO-MAN proceedings",

publisher = "IEEE",

pages = "1252--1257",

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

address = "United States",

note = "31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) ; Conference date: 29-08-2022 Through 02-09-2022",

}

Adamik, M, Printz, A & Rehm, M 2022, Explainability in Collaborative Robotics: The Effect of Informing the User on Task Performance and Trust. i RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots. IEEE, IEEE RO-MAN proceedings, s. 1252-1257, 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Napoli, Italien, 29/08/2022. 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; Printz, Asger; Rehm, Matthias.
RO-MAN 2022 - 31st IEEE International Conference on Robot and Human Interactive Communication: Social, Asocial, and Antisocial Robots. IEEE, 2022. s. 1252-1257 (IEEE RO-MAN proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Explainability in Collaborative Robotics

T2 - 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

AU - Adamik, Mark

AU - Printz, Asger

AU - Rehm, Matthias

PY - 2022

Y1 - 2022

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.

KW - Human Robot Collaboration

KW - trust

KW - Explainability

UR - http://www.scopus.com/inward/record.url?scp=85140770700&partnerID=8YFLogxK

U2 - 10.1109/RO-MAN53752.2022.9900613

DO - 10.1109/RO-MAN53752.2022.9900613

M3 - Article in proceeding

SN - 978-1-6654-0680-2

T3 - IEEE RO-MAN proceedings

SP - 1252

EP - 1257

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

PB - IEEE

Y2 - 29 August 2022 through 2 September 2022

ER -

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

Abstract

Konference

FN’s Verdensmål

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Projekter

RETRO: Regulating Trust in Human Robot Interaction

Citationsformater