Stories about the Future: Initial Results Exploring How Co-movement with Robots Affects Perceptions about Robot Capability

Catie Cuan, Joseph Hoffswell, Amy Laviers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Anxiety about automation of large classes of jobs creates an area of research around how to evolve the workforce in parallel to advances in robotic technology. Gaining meaningful experience with robots, such as studying them in school, is not an option for every American, leaving media and stories to fill the void. This paper first presents analysis of popular narratives about robots, finding largely negative and violent depictions in popular movies. Then, the paper reports on an initial experiment with human participants on existing attitudes about robots and how those may change with meaningful, non-narrative exposure to these machines. A pilot study with 12 participants was designed and deployed in a targeted community. Initial findings, along with directions for future work, are discussed. The accessible, exhibit-like design of this work, may be a scalable framework that can make it possible for more people to gain real-life experiences with robots.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th International Conference on Movement and Computing, MOCO 2020
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450375054
DOIs
StatePublished - Jul 15 2020
Event7th International Conference on Movement and Computing, MOCO 2020 - Jersey City, Virtual, United States
Duration: Jul 15 2020Jul 17 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Movement and Computing, MOCO 2020
Country/TerritoryUnited States
CityJersey City, Virtual
Period7/15/207/17/20

Keywords

  • Embodied learning
  • FoW
  • Interactive art
  • Kinesthetic perception

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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