Publication Type
Journal Article
Version
acceptedVersion
Publication Date
6-2023
Abstract
With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how trust manifests within social relations. Priority is given to the human user of technology—the initiator of human—robot trust relations—at all stages of decision-making. The envisioned formation of optimal conditions in which trust emerges requires the collective participation of practitioners, policymakers, and members of the community. With trust facilitating the smooth transition of robots into more socially embedded roles, positive receptivity of the best engineering project arises from the presence of harmonious robot-human trust relations in community spaces.
Keywords
Social robots, Acceptability and trust, Design and human factors, Ethics and governance
Discipline
Artificial Intelligence and Robotics | Science and Technology Law | Science and Technology Policy
Publication
AI and Society
First Page
1
Last Page
16
ISSN
0951-5666
Identifier
10.1007/s00146-023-01705-1
Publisher
Springer
Citation
ZHANG, Wenxi; WONG, Willow; and FINDLAY, Mark.
Trust and robotics: A multi-staged decision-making approach to robots in community. (2023). AI and Society. 1-16.
Available at: https://ink.library.smu.edu.sg/sol_research/4438
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/s00146-023-01705-1
Included in
Artificial Intelligence and Robotics Commons, Science and Technology Law Commons, Science and Technology Policy Commons
Comments
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