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 language | English |
|---|---|
| Title of host publication | Human Interface and the Management of Information |
| Subtitle of host publication | Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings |
| Editors | Sakae Yamamoto |
| Publisher | Springer Verlag |
| Pages | 516-527 |
| Number of pages | 12 |
| ISBN (Print) | 9783319585239 |
| DOIs | |
| Publication status | Published - 2017 Jan 1 |
| Event | Thematic 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 9 → 2017 Jul 14 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10274 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | Thematic track on Human Interface and the Management of Information, held as part of the 19th International Conference on Human–Computer Interaction, HCI International 2017 |
|---|---|
| Country | Canada |
| City | Vancouver |
| Period | 17-07-09 → 17-07-14 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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The participatory sensing platform driven by UGC for the evaluation of living quality in the city. / Shen, Yang Ting; Shiu, Yi Shiang; Liu, Wei Kuang; Lu, Peiwen.
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration - 19th International Conference, HCI International 2017, Proceedings. ed. / Sakae Yamamoto. Springer Verlag, 2017. p. 516-527 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10274 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The participatory sensing platform driven by UGC for the evaluation of living quality in the city
AU - Shen, Yang Ting
AU - Shiu, Yi Shiang
AU - Liu, Wei Kuang
AU - Lu, Peiwen
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85025143890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025143890&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-58524-6_41
DO - 10.1007/978-3-319-58524-6_41
M3 - Conference contribution
AN - SCOPUS:85025143890
SN - 9783319585239
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 516
EP - 527
BT - Human Interface and the Management of Information
A2 - Yamamoto, Sakae
PB - Springer Verlag
ER -