The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city

Yang Ting Shen, Pei Wen Lu, Feng Cheng Lin

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

Abstract

In this paper, we propose the integration of mobile-based and web-based Interfaces called City Probe system for the spatial identification and assessment driven by citizens’ participation. The City Probe system provides the potential method to engage the power of citizens’ participation in the city governance. It allows citizens’ on-site and off-site identification and assessment of contextual features. The City Probe system sets up the measuring rule from −10 (most negative) to +10 (most positive) to standardize citizens’ participation. Individual citizens can quantify their contextual feature identification into assessable standard. Three kinds of maps including DOT, BLOCK, and HEAT modes can be made and visualize the quantitative results. The experiment based on the City Probe Mobile APP is conducted according to the features pre-made by subjects. It demonstrates how the City Probe system could be adopted to almost any contextual feature. The results also use visualized maps to present the potential positive (blue) and negative (negative) areas of target features derived from subjects’ participation.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information. Interacting with Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer
Pages519-528
Number of pages10
ISBN (Print)9783030500160
DOIs
Publication statusPublished - 2020
EventThematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 2020 Jul 192020 Jul 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12185 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
CountryDenmark
CityCopenhagen
Period20-07-1920-07-24

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city'. Together they form a unique fingerprint.

Cite this