
CHARTOPOLIS: A Small-Scale Labor-art-ory for Research and Reflection on
Autonomous Vehicles, Human–Robot Interaction, and Sociotechnical Imaginaries
Sangeet Sankaramangalam Ulhasa, Aditya Ravichandera, Kathryn A. Johnsonb, Theodore P. Pavlicc,
Lance Gharavid, and Spring Bermana
Abstract— CHARTOPOLIS is a multi-faceted sociotechnical
testbed meant to aid in building connections among engineers,
psychologists, anthropologists, ethicists, and artists. Superfi-
cially, 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 flexibil-
ity 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.
I. INTRODUCTION
We are developing CHARTOPOLIS, a small-scale traffic
testbed that serves as a research laboratory, an art installation,
and a boundary object [1] that is intended to increase inte-
gration between engineering, psychology, anthropology, and
ethical philosophy. This mind–machine–motor nexus (M3X)1
“labor-art-ory” consists of a model physical driving environ-
ment with small robotic vehicles (Fig. 1), a driving station for
remote control of the vehicles by human participants (Fig. 3),
and a driving simulator that serves as a high-fidelity, virtual
replica of the physical environment (Fig. 4).
This work was supported by NSF EAGER Award #2146691 and the ASU
Center for Human, Artificial Intelligence, and Robot Teaming (CHART).
All authors are with Arizona State University (ASU), Tempe, AZ 85287.
aS. S. Ulhas, A. Ravichander, and S. Berman are with
the ASU School for Engineering of Matter, Transport and
Energy {sulhas,aravic22,spring.berman}@asu.edu
bK. A. Johnson is with the ASU Department of Psychol-
ogy kathryn.a.johnson@asu.edu
cT. P. Pavlic is with the ASU School of Computing and Augmented
Intelligence, the School of Sustainability, and the School of Complex
Adaptive Systems tpavlic@asu.edu
dL. Gharavi is with the ASU School of Music, Dance and The-
atre lance.gharavi@asu.edu
1NSF M3X program: https://beta.nsf.gov/funding/opportunities/mind-
machine-and-motor-nexus-m3x
Fig. 1: CHARTOPOLIS, a reconfigurable, modular testbed
for urban autonomous-vehicle research.
In contrast to existing small-scale self-driving car testbeds,
e.g. [2]–[8], CHARTOPOLIS is specifically designed to
facilitate participatory studies of human sensorimotor, behav-
ioral, cognitive, and aesthetic responses to diverse driving
scenarios with the goal of enriching autonomous vehicles
with human-like behavioral profiles. Its matching virtual and
physical environments will enable safe, controlled experi-
mental manipulation of both typical driving conditions and
unavoidable accidents that would be difficult or hazardous to
replicate with full-scale vehicles. Furthermore, by comparing
and contrasting human driving performance in the physical
testbed to performance in the high-fidelity simulator, we
can identify commonalities among human behaviors across
the two participatory platforms (i.e., the physical testbed
and virtual replica) that are likely to extend to hypothetical
behaviors in full-scale vehicles. Thus, this comparative ap-
proach aims to elucidate the underlying problems resulting in
the Sim2Real gap rather than attempting to find costly and
risk-prone stopgap solutions to them, e.g., [9], [10]. More
generally, juxtaposing the physical and virtual environments
enables us to investigate the minimal set of features (e.g.,
sensory stimuli, dynamical characteristics, psychological as-
sociation with outcomes in physical space) required for a
participatory driving testbed to effectively engage a human
operator in as realistic of a driving experience as possible.
Finally, CHARTOPOLIS doubles as an art installation that
makes a statement about the effect of technology and auton-
arXiv:2210.00377v1 [cs.RO] 1 Oct 2022