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Erschienen in:
Efficiency and Effectiveness Metrics in Evolutionary Algorithms and Their Application Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Network Guide Robot System Proactively Initiating Interaction with Humans Based on Their Local and Global Behaviors

verfasst von : Md. Golam Rashed, Royta Suzuki, Toshiki Kikugawa, Antony Lam, Yoshinori Kobayashi, Yoshinori Kuno

Erschienen in: Intelligent Computing Theories and Methodologies

Verlag: Springer International Publishing

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Abstract

In this paper, we present a Human Robot Interaction (HRI) system which can determine people’s interests and intentions concerning exhibits in a museum, then proactively approach people that may want guidance or commentary about the exhibits. To do that, we first conducted observational experiments in a museum with participants. From these experiments, we have found, mainly three kinds of walking trajectory patterns that characterize global behavior, and visual attentional information that indicates the local behavior of the people. These behaviors ultimately indicate whether certain people are interested in the exhibits and could benefit from the robot system providing additional details about the exhibits. Based on our findings, we then designed and implemented a network enabled guide robot system for the museum. Finally, we demonstrated the viability of our proposed system by experimenting with a set of Desktop Robots as guide robots. Our experiments revealed that the proposed HRI system is effective for the network enabled Desktop Robots to proactively provide guidance.

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Vorheriges Kapitel Mining Long Patterns of Least-Support Items in Stream
Nächstes Kapitel Hierarchical Features Fusion for Salient Object Detection in Low Contrast Images
Fußnoten
1
The regions from where a person typically views exhibits in a museum.
 
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Metadaten
Titel
Network Guide Robot System Proactively Initiating Interaction with Humans Based on Their Local and Global Behaviors
verfasst von
Md. Golam Rashed
Royta Suzuki
Toshiki Kikugawa
Antony Lam
Yoshinori Kobayashi
Yoshinori Kuno
Copyright-Jahr
2015
Buch
Intelligent Computing Theories and Methodologies

Print ISBN: 978-3-319-22185-4

Electronic ISBN: 978-3-319-22186-1

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-22186-1_28