Assessing trust in collaborative robotics with different human-robot interfaces
Loading...
Files
Accepted Version
Date
2024
Authors
Menolotto, Matteo
Komaris, Dimitrios-Sokratis
O’Sullivan, Patricia
O’Flynn, Brendan
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
Abstract
Human-robot interfaces (HRIs) serve as the main communication tools for controlling and programming robots in industry 4.0 applications. To be effective, the design of these interfaces should consider not only functional and morphological characteristics, but also factors influencing human interactions, such as trust. A lack of trust is linked to the underutilization or misuse of collaborative robots, leading to ineffective automation implementation and compromised safety. The assessment of human factors is therefore gaining traction in robotics, with the emergence of both objective and subjective methodologies. Nevertheless, the absence of a holistic approach hinders the development of a unified assessment framework. This study introduces a novel assessment methodology that integrates self-reporting questionnaires with human-centric data collected through wearable sensing technologies. The approach aims to offer a comprehensive evaluation of HRIs, considering both perceptual and behavioral dimensions. Empirical testing on three different HRIs substantiates the effectiveness of this methodology. Preliminary results reveal variations in trust levels based on the combination of tasks performed and the specific HRI used for communication with a collaborative robot. These findings not only contribute to advancing our understanding of trust dynamics in human-robot interactions but also lay the groundwork for a more inclusive evaluation framework, enhancing our comprehension of the intricate interplay between humans and robots in the context of smart manufacturing.
Description
Keywords
Human-robot interface , Collaborative robotics , Trust , IMU , GSR
Citation
Menolotto, M., Komaris, D.-S., O’Sullivan, P. and O’Flynn, B. (2024) ‘Assessing trust in collaborative robotics with different human-robot interfaces’, 2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Glasgow, United Kingdom, 20-23 May 2024, pp. 1–6. https://doi.org/10.1109/I2MTC60896.2024.10561211
Link to publisher’s version
Copyright
© 2024, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.