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CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on Autonomous Vehicles, Human-Robot Interaction, and Sociotechnical Imaginaries

Authors :
Ulhas, Sangeet Sankaramangalam
Ravichander, Aditya
Johnson, Kathryn A.
Pavlic, Theodore P.
Gharavi, Lance
Berman, Spring
Publication Year :
2022

Abstract

CHARTOPOLIS is a multi-faceted sociotechnical testbed meant to aid in building connections among engineers, psychologists, anthropologists, ethicists, and artists. Superficially, it is an urban autonomous-vehicle testbed that includes both a physical environment for small-scale robotic vehicles as well as a high-fidelity virtual replica that provides extra flexibility by way of computer simulation. However, both environments have been developed to allow for participatory simulation with human drivers as well. Each physical vehicle can be remotely operated by human drivers that have a driver-seat point of view that immerses them within the small-scale testbed, and those same drivers can also pilot high-fidelity models of those vehicles in a virtual replica of the environment. Juxtaposing human driving performance across these two contexts will help identify to what extent human driving behaviors are sensorimotor responses or involve psychological engagement with a system that has physical, not virtual, side effects and consequences. Furthermore, through collaboration with artists, we have designed the physical testbed to make tangible the reality that technological advancement causes the history of a city to fork into multiple, parallel timelines that take place within populations whose increasing isolation effectively creates multiple independent cities in one. Ultimately, CHARTOPOLIS is meant to challenge engineers to take a more holistic view when designing autonomous systems, while also enabling them to gather novel data that will assist them in making these systems more trustworthy.<br />Comment: Submission to 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) Workshop on Miniature Robot Platforms for Full Scale Autonomous Vehicle Research

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2210.00377
Document Type :
Working Paper