Smart City Gnosys

Smart city article details

Title	Verifying Or Clarifying? User Preferences For Mobile Crowdsourcing In Response To Seemingly Inconsistent Sensor Data
ID_Doc	61039
Authors	Chiang Y.-H.; Hsu J.-W.; Chiu H.-L.; Liu C.-E.; Huang T.-Y.; Chang Y.-J.
Year	2025
Published	Proceedings of the ACM on Human-Computer Interaction, 9, 2
DOI	http://dx.doi.org/10.1145/3711100
Abstract	In the realm of smart cities, sensor technologies play a pivotal role in monitoring urban facilities and environments, providing real-time, site-specific information to residents. However, discrepancies often arise in sensor data due to variances in granularity, abstraction, and scope, which can foster uncertainty regarding the actual conditions on-site. This study explores whether, under these circumstances, individuals prefer on-site mobile crowds for verification purposes or for the provision of supplementary contextual information to aid in decision-making. Conducting an online study with 100 participants from Taiwan, who engaged in a think-aloud process while utilizing smart city sensor data for decision-making, our findings indicate that participants more often (54%) preferred seeking verification over supplementary contextual information (46%). Both pre-existing expectations and the sense of task urgency affected participants’ choices between verification and supplementary contextual information. However, we found that the driving factor for seeking supplementary contextual information was not sensor data deviating from pre-existing expectations, but rather the absence of such pre-existing expectations. Our qualitative data also uncovered five primary motivations and four factors influencing the choice of crowdsourced information. Overall, these findings contribute to our understanding of how people leverage on-site mobile crowds to supplement sensor data in the context of smart cities. © 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Author Keywords	information consistency; information seeking; mobile crowdsourcing; sense-making; sensor plausibility; smart city

Similar Articles

Id	Similarity	Authors	Title	Published
33452	0.969	Chiang Y.-H.; Hsu J.-W.; Liu C.-E.; Huang T.-Y.; Chiu H.-L.; Chang Y.-J.	Investigating Users' Inclination Of Leveraging Mobile Crowdsourcing To Obtain Verifying Vs. Supplemental Information When Facing Inconsistent Smat-City Sensor Information	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW (2023)
55	0.891	Asad S.; Powell B.; Long C.; Nicklas D.; Lagesse B.	'Where Am I?': Unraveling Challenges In Smart City Data Cleaning To Establish A Ground Truth Framework	2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024 (2024)
16673	0.868	Waclawek T.; Fiedler A.; Schütz M.; Schütz A.	Crowd-Counting Technology Within The Smart City Context: Understanding, Trust, And Acceptance	Frontiers in Psychology, 15 (2024)
59891	0.866	Fornaroli A.; Gatica-Perez D.	Urban Crowdsourcing Platforms Across The World: A Systematic Review	Digital Government: Research and Practice, 4, 3 (2023)
48345	0.865	Puussaar A.; Montague K.; Peacock S.; Nappey T.; Anderson R.; Jonczyk J.; Wright P.; James P.	Sensemystreet: Sensor Commissioning Toolkit For Communities	Proceedings of the ACM on Human-Computer Interaction, 6, CSCW2 (2022)
1650	0.864	Kandappu, T; Misra, A; Koh, D; Tandriansyah, RD; Jaiman, N	A Feasibility Study On Crowdsourcing To Monitor Municipal Resources In Smart Cities	COMPANION PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2018 (WWW 2018) (2018)
16714	0.864	Bellavista P.; Cardone G.; Corradi A.; Foschini L.; Ianniello R.	Crowdsensing In Smart Cities: Technical Challenges, Open Issues, And Emerging Solution Guidelines	Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities (2015)
17319	0.864	Cheng Z.; Chen J.; Liu J.; Li M.	Data Quality Assessment In Mobile Crowdsensing By Utilizing Psychology Effect	Proceedings - 2023 IEEE International Conference on Parallel and Distributed Processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2023 (2023)
16726	0.861	Alizadeh, T	Crowdsourced Smart Cities Versus Corporate Smart Cities	1ST ITB CENTENNIAL AND 4TH PLANOCOSMO INTERNATIONAL CONFERENCE, 158 (2018)
46577	0.859	Miranda R.; Alves C.; Sousa R.; Chaves A.; Montenegro L.; Peixoto H.; Durães D.; Machado R.; Abelha A.; Novais P.; Machado J.	Revolutionising The Quality Of Life: The Role Of Real-Time Sensing In Smart Cities	Electronics (Switzerland), 13, 3 (2024)