Detecting Emerging Challenges in Social Sidewalk Navigation

Research output: Contribution to conferencePaperScientific

4 Downloads (Pure)

Abstract

When mobile urban robots will share the sidewalk with people, the resulting interactions can cause unexpected undesirable outcomes to emerge – from people running away scared to people deliberately teasing and harassing such systems. How can we design such AI systems to aptly handle the unexpected? Directly anticipating and/or detecting these kinds of situations will inherently be unreliable; they are unexpected, after all. And yet, there exists a very clear signal for social slip-ups: the emotional response of people. We thus argue that such systems need to be imbued with a capacity to interpret the socio-emotional reactions to their own behavior.
Original languageEnglish
Number of pages4
Publication statusPublished - 8 Jun 2020
EventUrban AI: Formulating an agenda for the interdisciplinary research of artificial intelligence in cities: A DIS 2020 Workshop - Moved online, Eindhoven, Netherlands
Duration: 8 Jun 20208 Jun 2020
https://sites.google.com/view/urbanai/front-page

Workshop

WorkshopUrban AI: Formulating an agenda for the interdisciplinary research of artificial intelligence in cities
Abbreviated titleUrban AI
CountryNetherlands
CityEindhoven
Period8/06/208/06/20
Internet address

Keywords

  • Urban Robotics
  • Social Navigation
  • Social Signal Processing
  • Emergent Behavior

Fingerprint Dive into the research topics of 'Detecting Emerging Challenges in Social Sidewalk Navigation'. Together they form a unique fingerprint.

Cite this