Breaking Down the Barriers: Investigating Non-Expert User Experiences in Robotic Teleoperation in UK and Japan
Florent P Audonnet, Andrew Hamilton, Yakiyasu Domae, Ixchel G, Ramirez-Alpizar, Gerardo Aragon-Camarasa

TL;DR
This study compares user experiences and trust levels in robotic teleoperation across UK and Japan, evaluating different robotic arms and control methods to identify factors influencing workload, strain, and trust.
Contribution
It introduces TELESIM, a modular teleoperation framework, and provides cross-cultural insights into user trust and strain with various robotic systems.
Findings
UR5e led to more towers built
UR5e caused least cognitive stress
Senseglove with UR3 increased physical strain and frustration
Abstract
Robots are being created each year with the goal of integrating them into our daily lives. As such, there is an interest in research in evaluating the trust of humans toward robots. In addition, teleoperating robotic arms can be challenging for non-experts. To reduce the strain put on the user, we created TELESIM, a modular and plug-and-play framework that enables direct teleoperation of any robotic arm using a digital twin as the interface between users and the robotic system. We evaluated our framework using a user survey with three robots and control methods and recorded the user's workload and performance at completing a tower stacking task. However, an analysis of the strain on the user and their ability to trust robots was omitted. This paper addresses these omissions by presenting the additional results of our user survey of 37 participants carried out in United Kingdom. In…
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Taxonomy
TopicsAI in Service Interactions
