research-article

CrowdMonitor: Mobile Crowd Sensing for Assessing Physical and Digital Activities of Citizens during Emergencies

Authors:

Christian Reuter,

Tim Siebigteroth,

Volkmar PipekAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 4083 - 4092

https://doi.org/10.1145/2702123.2702265

Published: 18 April 2015 Publication History

Abstract

Emergencies such as the 2013 Central European flood or the 2013 typhoon Haiyan in Philippines have shown how citizens can organize themselves and coordinate private relief activities. These activities can be found in (physical) groups of affected people, but also within (digital) social media communities. There is an evident need, however, for a clearer picture of what exactly is going on to be available for use by the official emergency services: to enlist them, to keep them safe, to support their efforts and to avoid needless duplications or conflicts. Aligning emergency services and volunteer activities is, then, crucial. In this paper we present a mobile crowd sensing based concept, which was designed as well as implemented as the application CrowdMonitor and facilitates the detection of physical and digital activities and the assignment of specific tasks to citizens. Finally we outline the findings of its evaluation.

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Cited By

Kaufhold M(2024)Exploring the evolving landscape of human-centred crisis informatics: current challenges and future trendsi-com10.1515/icom-2024-000223:2(155-163)Online publication date: 6-May-2024
https://doi.org/10.1515/icom-2024-0002
Jit SSpinney JChandra PChilton LSoden R(2024)Writing out the Storm: Designing and Evaluating Tools for Weather Risk MessagingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641926(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641926
Jiang LAlazab MQin Z(2024)Secure Task Distribution With Verifiable Re-Encryption in Mobile-Crowdsensing-Assisted Emergency IoT SystemIEEE Internet of Things Journal10.1109/JIOT.2023.327207011:3(3896-3908)Online publication date: 1-Feb-2024
https://doi.org/10.1109/JIOT.2023.3272070
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Index Terms

CrowdMonitor: Mobile Crowd Sensing for Assessing Physical and Digital Activities of Citizens during Emergencies
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 18 April 2015

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European Union's Seventh Framework Programme

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CHI '15

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SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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April 26 - May 1, 2025

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Cited By

Kaufhold M(2024)Exploring the evolving landscape of human-centred crisis informatics: current challenges and future trendsi-com10.1515/icom-2024-000223:2(155-163)Online publication date: 6-May-2024
https://doi.org/10.1515/icom-2024-0002
Jit SSpinney JChandra PChilton LSoden R(2024)Writing out the Storm: Designing and Evaluating Tools for Weather Risk MessagingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641926(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641926
Jiang LAlazab MQin Z(2024)Secure Task Distribution With Verifiable Re-Encryption in Mobile-Crowdsensing-Assisted Emergency IoT SystemIEEE Internet of Things Journal10.1109/JIOT.2023.327207011:3(3896-3908)Online publication date: 1-Feb-2024
https://doi.org/10.1109/JIOT.2023.3272070
Abbasi SVahdat-Nejad HMoradi H(2024)Harnessing trustable crowdsourcing power for flood disaster evaluationNatural Hazards10.1007/s11069-024-06547-8120:9(8723-8741)Online publication date: 5-Apr-2024
https://doi.org/10.1007/s11069-024-06547-8
Cicek DKantarci B(2023)Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open IssuesSensors10.3390/s2303169923:3(1699)Online publication date: 3-Feb-2023
https://doi.org/10.3390/s23031699
Veisi ODu DMoradi MGuasselli FAthanasoulias SSyed HMüller CStevens G(2023)Designing SafeMap Based on City Infrastructure and Empirical Approach: Modified A-Star Algorithm for Earthquake Navigation ApplicationProceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI10.1145/3615900.3628788(61-70)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3615900.3628788
Aboualola MAbualsaud KKhattab TZorba NHassanein H(2023)Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence IntegrationIEEE Access10.1109/ACCESS.2023.329303511(73782-73802)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3293035
Almutairi MApostolopoulou DHalikias GAbi Sen AYamin M(2022)Enhancing Privacy and Security in Crowds using Fog Computing2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom54597.2022.9763199(57-62)Online publication date: 23-Mar-2022
https://doi.org/10.23919/INDIACom54597.2022.9763199
Almutairi MApostolopoulou DHalikias GAbi Sen AYamin M(2022)A Framework for Comprehensive Crowd and Hajj Management2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)10.23919/INDIACom54597.2022.9763174(63-68)Online publication date: 23-Mar-2022
https://doi.org/10.23919/INDIACom54597.2022.9763174
Hu YWang JWu BHelal S(2022)RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile CrowdsensingIEEE Transactions on Mobile Computing10.1109/TMC.2021.307763621:12(4555-4568)Online publication date: 1-Dec-2022
https://doi.org/10.1109/TMC.2021.3077636
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