Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)

Laurent Frering; Matthias Josef Eder; Bettina Kubicek; Dietrich Albert; Denis Kalkofen; Thomas Gschwandtner; Heimo Krajnz; Gerald Steinbauer-Wagner

Abstract

This paper presents a conceptual overview of the EASIER project and its scope. EASIER focuses on supporting emergency forces in disaster response scenarios with a semi-autonomous mobile manipulator. Specifically, we examine the operator's trust in the system and his/her cognitive load generated by its use. We plan to address different research topics, exploring how shared autonomy, interaction design, and transparency relate to trust and cognitive load. Another goal is to develop non-invasive methods to continuously measure trust and cognitive load in the context of disaster response using a multilevel approach. This project is conducted by multiple academic partners specializing in artificial intelligence, interaction design, and psychology, as well as an industrial partner for disaster response equipment and end-users for framing the project and the experiments in real use-cases.

Originalsprache	englisch
Seitenumfang	5
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust: ICRA 2022 - Philadelphia, USA / Vereinigte Staaten Dauer: 23 Mai 2022 → 27 Mai 2022

Konferenz

Konferenz	39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust
Kurztitel	ICRA 2022
Land/Gebiet	USA / Vereinigte Staaten
Ort	Philadelphia
Zeitraum	23/05/22 → 27/05/22

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https://arxiv.org/abs/2207.03763Lizenz: CC BY 4.0

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Frering, L., Eder, M. J., Kubicek, B., Albert, D., Kalkofen, D., Gschwandtner, T., Krajnz, H., & Steinbauer-Wagner, G. (2022). Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER). Abstract von 39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust, Philadelphia, Pennsylvania, USA / Vereinigte Staaten. https://arxiv.org/abs/2207.03763

Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER). / Frering, Laurent ; Eder, Matthias Josef; Kubicek, Bettina et al.
2022. Abstract von 39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust, Philadelphia, Pennsylvania, USA / Vereinigte Staaten.

Publikation: Konferenzbeitrag › Abstract › Begutachtung

Frering, L , Eder, MJ, Kubicek, B, Albert, D, Kalkofen, D, Gschwandtner, T, Krajnz, H & Steinbauer-Wagner, G 2022, 'Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)', 39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust, Philadelphia, USA / Vereinigte Staaten, 23/05/22 - 27/05/22. <https://arxiv.org/abs/2207.03763>

Frering L , Eder MJ, Kubicek B, Albert D, Kalkofen D, Gschwandtner T et al.. Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER). 2022. Abstract von 39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust, Philadelphia, Pennsylvania, USA / Vereinigte Staaten.

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title = "Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)",

abstract = "This paper presents a conceptual overview of the EASIER project and its scope. EASIER focuses on supporting emergency forces in disaster response scenarios with a semi-autonomous mobile manipulator. Specifically, we examine the operator's trust in the system and his/her cognitive load generated by its use. We plan to address different research topics, exploring how shared autonomy, interaction design, and transparency relate to trust and cognitive load. Another goal is to develop non-invasive methods to continuously measure trust and cognitive load in the context of disaster response using a multilevel approach. This project is conducted by multiple academic partners specializing in artificial intelligence, interaction design, and psychology, as well as an industrial partner for disaster response equipment and end-users for framing the project and the experiments in real use-cases.",

author = "Laurent Frering and Eder, {Matthias Josef} and Bettina Kubicek and Dietrich Albert and Denis Kalkofen and Thomas Gschwandtner and Heimo Krajnz and Gerald Steinbauer-Wagner",

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T1 - Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)

AU - Frering, Laurent

AU - Eder, Matthias Josef

AU - Kubicek, Bettina

AU - Albert, Dietrich

AU - Kalkofen, Denis

AU - Gschwandtner, Thomas

AU - Krajnz, Heimo

AU - Steinbauer-Wagner, Gerald

PY - 2022

Y1 - 2022

N2 - This paper presents a conceptual overview of the EASIER project and its scope. EASIER focuses on supporting emergency forces in disaster response scenarios with a semi-autonomous mobile manipulator. Specifically, we examine the operator's trust in the system and his/her cognitive load generated by its use. We plan to address different research topics, exploring how shared autonomy, interaction design, and transparency relate to trust and cognitive load. Another goal is to develop non-invasive methods to continuously measure trust and cognitive load in the context of disaster response using a multilevel approach. This project is conducted by multiple academic partners specializing in artificial intelligence, interaction design, and psychology, as well as an industrial partner for disaster response equipment and end-users for framing the project and the experiments in real use-cases.

AB - This paper presents a conceptual overview of the EASIER project and its scope. EASIER focuses on supporting emergency forces in disaster response scenarios with a semi-autonomous mobile manipulator. Specifically, we examine the operator's trust in the system and his/her cognitive load generated by its use. We plan to address different research topics, exploring how shared autonomy, interaction design, and transparency relate to trust and cognitive load. Another goal is to develop non-invasive methods to continuously measure trust and cognitive load in the context of disaster response using a multilevel approach. This project is conducted by multiple academic partners specializing in artificial intelligence, interaction design, and psychology, as well as an industrial partner for disaster response equipment and end-users for framing the project and the experiments in real use-cases.

M3 - Abstract

T2 - 39th IEEE International Conference on Robotics and Automation - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust

Y2 - 23 May 2022 through 27 May 2022

ER -

Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)

Abstract

Konferenz

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