May I talk about other shops here? Modeling territory and invasion in front of shops

Satoru Satake, Hajime Iba, Takayuki Kanda, Michita Imai, Yoichi Morales Saiki

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

2 Citations (Scopus)

Abstract

This paper models the concept of the "territory" of shops. First, we interviewed three shopkeepers and found that they perceived the space near their shop as their territory and that they interpreted some types of behaviors as invasive. Second, we confirmed that potential visitors share this notion of territory. We also confirmed that the size of the territory depends on the characteristics of a shop's facade. While there is little territory in front of walls, there is more territory in front of shelves and entrances. Our robot traversed around two real shopping malls that included 50 shops and took 3-D scans of their environment shapes. Each shop's facade was analyzed and the shop territory was computed. The computation results match people's perception. The recognition rate accuracy reached 93.5% for the territory areas. User evaluations in a virtual shop environment confirmed that a robot with a territory model behaves better than one without it.

Original languageEnglish
Title of host publicationHRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages487-494
Number of pages8
ISBN (Print)9781450326582
DOIs
Publication statusPublished - 2014 Jan 1
Externally publishedYes
Event9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany
Duration: 2014 Mar 32014 Mar 6

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Other

Other9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
CountryGermany
CityBielefeld
Period14/3/314/3/6

Keywords

  • Concept of territory
  • Human-robot interaction
  • Social robots

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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