Reducing Overtrust in Failing Robotic Systems

Anders B H Christensen, Christian R Dam, Corentin Rasle, Jacob E Bauer, Ramlo A Mohamed, Lars Christian Jensen

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

In general, people tend to place too much trust in robotic systems, also in emergency situations. Our study attempts to discover ways of reducing this overtrust, by adding vocal warnings of error from a robot that guides participants blindfolded through a maze. The results indicate that the tested vocal warnings have no effect in reducing overtrust, but we encourage further testing of similar warnings to fully explore its potential effects.
OriginalsprogEngelsk
Titel14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
ForlagIEEE
Publikationsdato2019
Sider542-543
ISBN (Trykt)978-1-5386-8556-3
ISBN (Elektronisk)978-1-5386-8554-9, 978-1-5386-8555-6
DOI
StatusUdgivet - 2019
Begivenhed14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Sydkorea
Varighed: 11. mar. 201914. mar. 2019

Konference

Konference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
LandSydkorea
ByDaegu
Periode11/03/201914/03/2019
SponsorACM, ACM SIGAI, ACM SIGCHI, IEEE, IEEE Robotics and Automation Society

Fingeraftryk

robotics
effect

Citer dette

Christensen, A. B. H., Dam, C. R., Rasle, C., Bauer, J. E., Mohamed, R. A., & Jensen, L. C. (2019). Reducing Overtrust in Failing Robotic Systems. I 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (s. 542-543). IEEE. https://doi.org/10.1109/HRI.2019.8673235
Christensen, Anders B H ; Dam, Christian R ; Rasle, Corentin ; Bauer, Jacob E ; Mohamed, Ramlo A ; Jensen, Lars Christian. / Reducing Overtrust in Failing Robotic Systems. 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. s. 542-543
@inproceedings{44eedb33d3ab46e2b3ece38761886ea0,
title = "Reducing Overtrust in Failing Robotic Systems",
abstract = "In general, people tend to place too much trust in robotic systems, also in emergency situations. Our study attempts to discover ways of reducing this overtrust, by adding vocal warnings of error from a robot that guides participants blindfolded through a maze. The results indicate that the tested vocal warnings have no effect in reducing overtrust, but we encourage further testing of similar warnings to fully explore its potential effects.",
keywords = "Human Robotic interaction (HRI), Overtrust, Robotics, Wizard of Oz (WOZ)",
author = "Christensen, {Anders B H} and Dam, {Christian R} and Corentin Rasle and Bauer, {Jacob E} and Mohamed, {Ramlo A} and Jensen, {Lars Christian}",
year = "2019",
doi = "10.1109/HRI.2019.8673235",
language = "English",
isbn = "978-1-5386-8556-3",
pages = "542--543",
booktitle = "14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)",
publisher = "IEEE",
address = "United States",

}

Christensen, ABH, Dam, CR, Rasle, C, Bauer, JE, Mohamed, RA & Jensen, LC 2019, Reducing Overtrust in Failing Robotic Systems. i 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, s. 542-543, 14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019, Daegu, Sydkorea, 11/03/2019. https://doi.org/10.1109/HRI.2019.8673235

Reducing Overtrust in Failing Robotic Systems. / Christensen, Anders B H; Dam, Christian R; Rasle, Corentin; Bauer, Jacob E; Mohamed, Ramlo A; Jensen, Lars Christian.

14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 2019. s. 542-543.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Reducing Overtrust in Failing Robotic Systems

AU - Christensen, Anders B H

AU - Dam, Christian R

AU - Rasle, Corentin

AU - Bauer, Jacob E

AU - Mohamed, Ramlo A

AU - Jensen, Lars Christian

PY - 2019

Y1 - 2019

N2 - In general, people tend to place too much trust in robotic systems, also in emergency situations. Our study attempts to discover ways of reducing this overtrust, by adding vocal warnings of error from a robot that guides participants blindfolded through a maze. The results indicate that the tested vocal warnings have no effect in reducing overtrust, but we encourage further testing of similar warnings to fully explore its potential effects.

AB - In general, people tend to place too much trust in robotic systems, also in emergency situations. Our study attempts to discover ways of reducing this overtrust, by adding vocal warnings of error from a robot that guides participants blindfolded through a maze. The results indicate that the tested vocal warnings have no effect in reducing overtrust, but we encourage further testing of similar warnings to fully explore its potential effects.

KW - Human Robotic interaction (HRI)

KW - Overtrust

KW - Robotics

KW - Wizard of Oz (WOZ)

U2 - 10.1109/HRI.2019.8673235

DO - 10.1109/HRI.2019.8673235

M3 - Article in proceedings

SN - 978-1-5386-8556-3

SP - 542

EP - 543

BT - 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

PB - IEEE

ER -

Christensen ABH, Dam CR, Rasle C, Bauer JE, Mohamed RA, Jensen LC. Reducing Overtrust in Failing Robotic Systems. I 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE. 2019. s. 542-543 https://doi.org/10.1109/HRI.2019.8673235