[2207.03763] Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)
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Computer Science > Robotics

arXiv:2207.03763 (cs)
[Submitted on 8 Jul 2022]

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

Authors:Laurent Frering, Matthias Eder, Bettina Kubicek, Dietrich Albert, Denis Kalkofen, Thomas Gschwandtner, Heimo Krajnz, Gerald Steinbauer-Wagner
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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.
Comments: IEEE 2022 ICRA full day workshop - Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust
Subjects: Robotics (cs.RO)
Cite as: arXiv:2207.03763 [cs.RO]
  (or arXiv:2207.03763v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2207.03763

Submission history

From: Matthias Eder [view email]
[v1] Fri, 8 Jul 2022 09:06:54 UTC (553 KB)
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