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Autores principales: Beierling, Helen, Richter, Phillip, Brandt, Mara, Terfloth, Lutz, Schulte, Carsten, Wersing, Heiko, Vollmer, Anna-Lisa
Formato: Preprint
Publicado: 2023
Materias:
Acceso en línea:https://arxiv.org/abs/2311.14431
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author Beierling, Helen
Richter, Phillip
Brandt, Mara
Terfloth, Lutz
Schulte, Carsten
Wersing, Heiko
Vollmer, Anna-Lisa
author_facet Beierling, Helen
Richter, Phillip
Brandt, Mara
Terfloth, Lutz
Schulte, Carsten
Wersing, Heiko
Vollmer, Anna-Lisa
contents Nowadays, we are dealing more and more with robots and AI in everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. As a result, there can be misconceptions about the behavior of the technologies in use. This, in turn, can lead to misuse and rejection by users. Explanation, for example, through transparency, can address these misconceptions. However, it would be confusing and overwhelming for users if the entire software or hardware was explained. Therefore, this paper looks at the 'enabling' architecture. It describes those aspects of a robotic system that might need to be explained to enable someone to use the technology effectively. Furthermore, this paper is concerned with the 'explanandum', which is the corresponding misunderstanding or missing concepts of the enabling architecture that needs to be clarified. We have thus developed and present an approach for determining this 'enabling' architecture and the resulting 'explanandum' of complex technologies.
format Preprint
id arxiv_https___arxiv_org_abs_2311_14431
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle What you need to know about a learning robot: Identifying the enabling architecture of complex systems
Beierling, Helen
Richter, Phillip
Brandt, Mara
Terfloth, Lutz
Schulte, Carsten
Wersing, Heiko
Vollmer, Anna-Lisa
Robotics
Nowadays, we are dealing more and more with robots and AI in everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. As a result, there can be misconceptions about the behavior of the technologies in use. This, in turn, can lead to misuse and rejection by users. Explanation, for example, through transparency, can address these misconceptions. However, it would be confusing and overwhelming for users if the entire software or hardware was explained. Therefore, this paper looks at the 'enabling' architecture. It describes those aspects of a robotic system that might need to be explained to enable someone to use the technology effectively. Furthermore, this paper is concerned with the 'explanandum', which is the corresponding misunderstanding or missing concepts of the enabling architecture that needs to be clarified. We have thus developed and present an approach for determining this 'enabling' architecture and the resulting 'explanandum' of complex technologies.
title What you need to know about a learning robot: Identifying the enabling architecture of complex systems
topic Robotics
url https://arxiv.org/abs/2311.14431