A cognitive model of sightseeing for mobile support system

Atsushi Ito, Rina Hayashi, Hiroyuki Hatano, Kenji Shoji, Mie Sato, Yuko Hiramatsu, Fumihiro Sato, Kazutaka Ueda, Yasunari Harada, Miwa Morishita, Akira Sasaki

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

2 Citations (Scopus)

Abstract

In this paper, we discuss the effectiveness of our cognitive model for sightseeing support system using BLE beacon in Nikko, a world cultural heritage in Japan. We introduced Zeigarnik Effect to design the cognitive model. In this cognitive model, an unknown part remains in our memory during a trip and that part is transformed to be an unknown expectation after the trip, and this unknown expectation will be a driver to visit there again. Last year, we performed a trial to check the effectiveness of our cognitive model and application. As the result, we found that our cognitive model could increase expectation of the trip. In addition, we extend the cognitive model to increase visitors to Nikko.

Original languageEnglish
Title of host publication8th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538612644
DOIs
Publication statusPublished - 2017 Jul 2
Event8th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2017 - Debrecen, Hungary
Duration: 2017 Sept 112017 Sept 14

Publication series

Name8th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2017 - Proceedings
Volume2018-January

Other

Other8th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2017
Country/TerritoryHungary
CityDebrecen
Period17/9/1117/9/14

Keywords

  • BLE Beacon
  • CogInfoCom
  • Cognitive Model
  • Location Based Service
  • Sightseeing Support System
  • World Cultural Heritage
  • Zeigarnik Effect

ASJC Scopus subject areas

  • Communication
  • Cognitive Neuroscience
  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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