Detecting Emerging Challenges in Social Sidewalk Navigation

Title

Detecting Emerging Challenges in Social Sidewalk Navigation

 Author

Vroon, Jered (TU Delft Internet of Things) ORCID 0000-0002-1094-9549
Zhou, Y. (TU Delft Internet of Things)
Rusak, Z. (TU Delft Internet of Things) ORCID 0000-0002-6999-5881

 Date

2020

 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.

 Subject

Urban Robotics
Social Navigation
Social Signal Processing
Emergent Behavior

 To reference this document use:

http://resolver.tudelft.nl/uuid:7f507d3e-89bd-46cf-81d8-73f5d430719d

 Event

Urban AI: Formulating an agenda for the interdisciplinary research of artificial intelligence in cities, 2020-06-08, Moved online, Eindhoven, Netherlands

 Bibliographical note

Curated by the organizers

 Part of collection

Institutional Repository

 Document type

conference paper

 Rights

© 2020 Jered Vroon, Y. Zhou, Z. Rusak
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