Paper Info
Title
Seeing Like a Rover: Team Work and Human-Robot Relations
Abstract
How do you work with a robot millions of miles away to make scientific discoveries on a planet you've never set foot on? Although much work in human-robot interaction describes the meaningful relationships that humans forge with their robots in one-on-one encounters, when robots venture into places where humans cannot go --- in search and rescue operations, ocean voyages, or even into space --- they do so as part of a large human team. Decisions about what the robot should do and where it should go are therefore the result of large group interactions instead of individual human cognition: the realm of organizational sociology. This talk draws on over a decade of ethnography with NASA's robotic spacecraft missions, specifically focusing on the Mars Exploration Rover mission. Going behind the scenes of the mission, I show the meaning-making, emotional connections, and embodied synergy that scientists develop as they work with their robots millions of miles away on a daily basis. This begins by learning to see through the robots' "eyes" on another planet, yet the peculiar social arrangement of mission work produces a deeper connection to the robot explorers too: one that is no doubt responsible for the extraordinary success and unexpected longevity of the mission team. Studying robotic spacecraft teams demonstrates how humans build a particular and peculiar empathy with their robotic colleagues that goes beyond anthropomorphism. Instead, this case points to the many and unusual ways in which organizations participate in our interactions with, understanding of, and ultimately care for the robots we work with in everyday life.
Year
DOI
Venue
2019
10.1109/HRI.2019.8673224
2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Keywords
Field
DocType
Human-Robot Interaction,Teamwork
Empathy,Robotic spacecraft,Teamwork,Everyday life,Realm,Cognitive science,Computer science,Embodied cognition,Human–computer interaction,Robot,Human–robot interaction
Conference
ISSN
ISBN
Citations 
2167-2121
978-1-5386-8555-6
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Janet Vertesi143428.69