TY - GEN
T1 - The integration of web-based and mobile-based participatory sensing interfaces apply to the identification and assessment of contextual features in the city
AU - Shen, Yang Ting
AU - Lu, Pei Wen
AU - Lin, Feng Cheng
N1 - Funding Information:
Acknowledgements. The financial support from Ministry of Science and Technology (MOST) project “ProBIM” (MOST 105-2627-M-035-008 -), the technical support from Cheng Yang Shih, the partition class and participants support from Yi Shiang Shiu, are greatly acknowledged.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-030-50017-7_39
DO - 10.1007/978-3-030-50017-7_39
M3 - Conference contribution
AN - SCOPUS:85088740871
SN - 9783030500160
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 519
EP - 528
BT - Human Interface and the Management of Information. Interacting with Information - Thematic Area, HIMI 2020, Held as Part of the 22nd International Conference, HCII 2020, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer
T2 - Thematic 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
Y2 - 19 July 2020 through 24 July 2020
ER -