Attributing Blame in Human-Robot Teams with Robots of Differing Appearance

Autor:	Cecelia Henderson, Douglas J. Gillan
Rok vydání:	2021
Předmět:	Medical Terminology Blame business.industry Human–computer interaction media_common.quotation_subject Robot Attribution business Psychology Automation Human–robot interaction Medical Assisting and Transcription media_common
Zdroj:	Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65:139-142
ISSN:	1071-1813 2169-5067
Popis:	As automation becomes increasingly common in daily life the importance of understanding how we interact with automated systems increases, especially attribution of blame for accidents involving a human-automation team. The current research project looks at how humans attribute blame in an accident involving a human operator and a robot worker and is based on a previous study (Furlough et al., 2019). Participants will read two scenarios detailing an accident while being shown both the operator and robot. The robot’s appearance is manipulated to imply varying levels of automation, ranging from a simple robot to one with a human appearance. Results showed no significant effects, however, this research still has the potential to contribute to the understanding of interactions between humans and automated systems and could inform design in the future to facilitate a positive working environment with robots and humans.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::001d2a60f10722fa95b7a5f904d6979e https://doi.org/10.1177/1071181321651020 Zobrazit plný text záznamu