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2021
1.
 Arntz, Alexander;  Eimler, Sabrina C.;  Straßmann, Carolin;  Hoppe, Heinz Ulrich
On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration Proceedings Article 
In: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, S. 377–381, Association for Computing Machinery, Boulder, CO, USA, 2021, ISBN: 9781450382908.
Abstract | Links | BibTeX | Schlagwörter: attribution of blame, human-robot collaboration, online study, perception of intelligence
@inproceedings{10.1145/3434074.3447196,

title = {On the Influence of Autonomy and Transparency on Blame and Credit in Flawed Human-Robot Collaboration},

author = {Alexander Arntz and Sabrina C. Eimler and Carolin Straßmann and Heinz Ulrich Hoppe},

url = {https://doi.org/10.1145/3434074.3447196},

doi = {10.1145/3434074.3447196},

isbn = {9781450382908},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction},

pages = {377–381},

publisher = {Association for Computing Machinery},

address = {Boulder, CO, USA},

series = {HRI '21 Companion},

abstract = {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.},

keywords = {attribution of blame, human-robot collaboration, online study, perception of intelligence},

pubstate = {published},

tppubtype = {inproceedings}

}

Schließen
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.
Schließen
https://doi.org/10.1145/3434074.3447196
doi:10.1145/3434074.3447196
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