On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration

被引：6

作者：

Arntz, Alexander ^{[1
]}

Eimler, Sabrina C. ^{[1
]}

Strassmann, Carolin ^{[1
]}

Hoppe, H. Ulrich ^{[2
]}

机构：

[1] Univ Appl Sci Ruhr West, Bottrop, North Rhine Wes, Germany

[2] Univ Duisburg Essen, Duisburg, Germany

来源：

HRI '21: COMPANION OF THE 2021 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION | 2021年

关键词：

human-robot collaboration; attribution of blame; perception of intelligence; online study; ANTHROPOMORPHISM; ATTRIBUTION;

D O I：

10.1145/3434074.3447196

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The collaboration between humans and autonomous AI-driven robots in industrial contexts is a promising vision that will have an impact on the sociotechnical system. Taking research from the field of human teamwork as guiding principles as well as results from human robot collaboration studies this study addresses open questions regarding the design and impact of communicative transparency and behavioral autonomy in a human robot collaboration. In an experimental approach, we tested whether an AI-narrative and communication panels of a robot-arm trigger the attribution of more human like traits and expectations going along with a changed attribution of blame and failure in a flawed collaboration.

引用

页码：377 / 381

页数：5

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