Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)

Matthias Rehm; Kasper Hald; Ioannis Pontikis

doi:10.1145/3610977.3637472

Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)

Matthias Rehm, Kasper Hald, Ioannis Pontikis

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

24 Downloads (Pure)

Abstract

Trust is a factor that is becoming more prominent in human robot interaction research. Only few approaches so far tackle the challenge of data-driven trust assessment. In this paper, we present a data set consisting of motion tracking data from an industrial human robot collaboration task. The data is collected during a trust manipulation experiment that has been designed to elicit different trust levels in the participants. Additionally, participants filled out a standard trust questionnaire. The data set allows for developing and testing data-driven trust assessment algorithms.

Original language	English
Title of host publication	Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24)
Number of pages	5
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	11 Mar 2024
Pages	934-938
ISBN (Electronic)	9798400703225
DOIs	https://doi.org/10.1145/3610977.3637472
Publication status	Published - 11 Mar 2024
Event	19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI) - Duration: 11 Mar 2024 → 15 Mar 2024 https://humanrobotinteraction.org/2024/

Conference

Conference	19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI)
Period	11/03/2024 → 15/03/2024
Internet address	https://humanrobotinteraction.org/2024/

Keywords

Human Robot Collaboration
human robot trust
Motion Tracking
Machine learning
data set

UN SDGs

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

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10.1145/3610977.3637472

Open Access ArticleFinal published version, 3.71 MB

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Cite this

@inproceedings{f720b1d2f6ac4b0691ed09ec3b75aabe,

title = "Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)",

abstract = "Trust is a factor that is becoming more prominent in human robot interaction research. Only few approaches so far tackle the challenge of data-driven trust assessment. In this paper, we present a data set consisting of motion tracking data from an industrial human robot collaboration task. The data is collected during a trust manipulation experiment that has been designed to elicit different trust levels in the participants. Additionally, participants filled out a standard trust questionnaire. The data set allows for developing and testing data-driven trust assessment algorithms.",

keywords = "Human Robot Collaboration, human robot trust, Motion Tracking, Machine learning, data set",

author = "Matthias Rehm and Kasper Hald and Ioannis Pontikis",

year = "2024",

month = mar,

day = "11",

doi = "10.1145/3610977.3637472",

language = "English",

pages = "934--938",

booktitle = "Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24)",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

address = "United States",

note = "19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI), HRI 2024 ; Conference date: 11-03-2024 Through 15-03-2024",

url = "https://humanrobotinteraction.org/2024/",

}

Rehm, M , Hald, K & Pontikis, I 2024, Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention). in Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24). IEEE (Institute of Electrical and Electronics Engineers), pp. 934-938, 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI), 11/03/2024. https://doi.org/10.1145/3610977.3637472

Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention). / Rehm, Matthias ; Hald, Kasper; Pontikis, Ioannis.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24). IEEE (Institute of Electrical and Electronics Engineers), 2024. p. 934-938.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)

AU - Rehm, Matthias

AU - Hald, Kasper

AU - Pontikis, Ioannis

PY - 2024/3/11

Y1 - 2024/3/11

N2 - Trust is a factor that is becoming more prominent in human robot interaction research. Only few approaches so far tackle the challenge of data-driven trust assessment. In this paper, we present a data set consisting of motion tracking data from an industrial human robot collaboration task. The data is collected during a trust manipulation experiment that has been designed to elicit different trust levels in the participants. Additionally, participants filled out a standard trust questionnaire. The data set allows for developing and testing data-driven trust assessment algorithms.

AB - Trust is a factor that is becoming more prominent in human robot interaction research. Only few approaches so far tackle the challenge of data-driven trust assessment. In this paper, we present a data set consisting of motion tracking data from an industrial human robot collaboration task. The data is collected during a trust manipulation experiment that has been designed to elicit different trust levels in the participants. Additionally, participants filled out a standard trust questionnaire. The data set allows for developing and testing data-driven trust assessment algorithms.

KW - Human Robot Collaboration

KW - human robot trust

KW - Motion Tracking

KW - Machine learning

KW - data set

UR - http://www.scopus.com/inward/record.url?scp=85188460436&partnerID=8YFLogxK

UR - https://zenodo.org/records/8224067

U2 - 10.1145/3610977.3637472

DO - 10.1145/3610977.3637472

M3 - Article in proceeding

SP - 934

EP - 938

BT - Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24)

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 19th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI)

Y2 - 11 March 2024 through 15 March 2024

ER -

Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)

Abstract

Conference

Keywords

UN SDGs

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AUB Link

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