The participatory sensing platform driven by UGC for the evaluation of living quality in the city

Yang Ting Shen, Yi Shiang Shiu, Wei Kuang Liu, Pei Wen Lu

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

4 Citations (Scopus)

Abstract

In this paper, we present a mobile-based participatory sensing method to engage citizens’ participation in the living quality evaluation. The system called City Probe consists of the APP and the platform to provide the location-based services. City Probe allows citizens to identify and assess the spatial issues. By using the rating function of City Probe APP, citizens can turn the qualitative spatial issues into measurable UGC data. In addition, the UGC data are visualized as (1) rating value map, (2) rating amount map, and (3) rating heat map to present the different quantitative patterns of city. The experiment of arcade survey verifies the value of City Probe by locating and assessing the OCCUPANCY issue.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationSupporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings
EditorsSakae Yamamoto
PublisherSpringer Verlag
Pages516-527
Number of pages12
ISBN (Print)9783319585239
DOIs
Publication statusPublished - 2017 Jan 1
EventThematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017 - Vancouver, Canada
Duration: 2017 Jul 92017 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10274 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherThematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017
CountryCanada
CityVancouver
Period17-07-0917-07-14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Shen, Y. T., Shiu, Y. S., Liu, W. K., & Lu, P. W. (2017). The participatory sensing platform driven by UGC for the evaluation of living quality in the city. In S. Yamamoto (Ed.), Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings (pp. 516-527). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-58524-6_41