What you need to know about a learning robot: Identifying the enabling architecture of complex systems

被引:0
|
作者
Beierling, Helen [1 ]
Richter, Phillip [1 ]
Brandt, Mara [1 ]
Terfloth, Lutz [2 ]
Schulte, Carsten [2 ]
Wersing, Heiko [3 ]
Vollmer, Anna-Lisa [1 ]
机构
[1] Bielefeld Univ, Med Sch EWL, Interact Robot, Univ Str 25, D-33615 Bielefeld, Germany
[2] Paderborn Univ, Fac Comp Sci Elect Engn & Math, Didact Informat, Warburger Str 100, D-33098 Paderborn, Germany
[3] Honda Res Inst Europe GmbH, Carl Legien Str 30, D-63073 Offenbach, Germany
来源
COGNITIVE SYSTEMS RESEARCH | 2024年 / 88卷
关键词
Robotics; HRI; Explainability; Didactics; Didactic reconstruction;
D O I
10.1016/j.cogsys.2024.101286
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nowadays we deal with robots and AI more and more in our everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. This can lead to misconceptions about the behavior of the technologies being used. This in turn can lead to misuse and rejection by users. Explanation, for example through transparency, can address these misconceptions. However, explaining the entire software or hardware would be confusing and overwhelming for users. Therefore, this paper focuses on the 'enabling' architecture. It describes those aspects of a robotic system that may need to be explained to enable someone to use the technology effectively. Furthermore, this paper deals with the 'explanandum', i.e. the corresponding misunderstandings or missing concepts of the enabling architecture that need to be clarified. Thus, we have developed and are presenting an approach to determine the 'enabling' architecture and the resulting 'explanandum' of complex technologies.
引用
收藏
页数:13
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