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How Context and Design Shape Human-robot Trust and Attributions by Hannah Biermann; Philipp Brauner; Martina Ziefle is a Psychology article available to read on EtoBox.

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In increasingly digitized working and living environments, human-robot collaboration is growing fast with human trust toward robotic collaboration as a key factor for the innovative teamwork to succeed. This article explores the impact of design factors of the robotic interface (anthropomorphic vs functional) and usage context (production vs care) on human-robot trust and attributions. The results of a scenario-based survey with = N 228 participants showed a higher willingness to collaborate with production robots compared to care. Context and design influenced the trust attributed to the robots: robots with a technical appearance in production were trusted more than anthropomorphic robots or robots in the care context. The evaluation of attributions by means of a semantic differential showed that differences in robot design were less pronounced for the production context in comparison to the care context. In the latter, anthropomorphic robots were associated with positive attributes. The results contribute to a better understanding of the complex nature of trust in automation and can be used to identify and shape use case-specific risk perceptions as well as perceived opportunitie

Who reads How Context and Design Shape Human-robot Trust and Attributions?

Author

Hannah Biermann; Philipp Brauner; Martina Ziefle

Publisher

Walter de Gruyter GmbH

Published

2020

Language

EN

Field

Psychology (Physical Sciences)