Regulating Highly Automated Robot Ecologies: Insights from Three User Studies
Name
1708.02167.pdf
Description
Submitted version
Size
692.09 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Shen, Wen
Al Khemeiri, Alanoud
Almehrzi, Abdulla
Al Enezi, Wael
Rahwan, Iyad
Crandall, Jacob W.
Date Issued
October 2017
Publisher
Association for Computing Machinery (ACM)
Citation
Shen, Wen, Al Khemeiri, Alanoud, Almehrzi, Abdulla, Al Enezi, Wael, Rahwan, Iyad et al. 2017. "Regulating Highly Automated Robot Ecologies: Insights from Three User Studies."
Version
Original manuscript
Abstract
© 2017 ACM. Highly automated robot ecologies (HARE), or societies of independent autonomous robots or agents, are rapidly becoming an important part of much of the world's critical infrastructure. As with human societies, regulation, wherein a governing body designs rules and processes for the society, plays an important role in ensuring that HARE meet societal objectives. However, to date, a careful study of interactions between a regulator and HARE is lacking. In this paper, we report on three user studies which give insights into how to design systems that allow people, acting as the regulatory authority, to effectively interact with HARE. As in the study of political systems in which governments regulate human societies, our studies analyze how interactions between HARE and regulators are impacted by regulatory power and individual (robot or agent) autonomy. Our results show that regulator power, decision support, and adaptive autonomy can each diminish the social welfare of HARE, and hint at how these seemingly desirable mechanisms can be designed so that they become part of successful HARE.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1145/3125739.3125758
