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Location-based crowdsourcing: extending crowdsourcing to the real world

Published: 16 October 2010 Publication History

Abstract

The WWW and the mobile phone have become an essential means for sharing implicitly and explicitly generated information and a communication platform for many people. With the increasing ubiquity of location sensing included in mobile devices we investigate the arising opportunities for mobile crowdsourcing making use of the real world context. In this paper we assess how the idea of user-generated content, web-based crowdsourcing, and mobile electronic coordination can be combined to extend crowdsourcing beyond the digital domain and link it to tasks in the real world. To explore our concept we implemented a crowd-sourcing platform that integrates location as a parameter for distributing tasks to workers. In the paper we describe the concept and design of the platform and discuss the results of two user studies. Overall the findings show that integrating tasks in the physical world is useful and feasible. We observed that (1) mobile workers prefer to pull tasks rather than getting them pushed, (2) requests for pictures were the most favored tasks, and (3) users tended to solve tasks mainly in close proximity to their homes. Based on this, we discuss issues that should be considered during designing mobile crowdsourcing applications.

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cover image ACM Other conferences
NordiCHI '10: Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
October 2010
889 pages
ISBN:9781605589343
DOI:10.1145/1868914
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 ACM 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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  • Reykjavik University
  • University of Iceland

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Published: 16 October 2010

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Author Tags

  1. context
  2. crowdsourcing
  3. location
  4. mobile phone

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  • (2024)Integrating Crowdsourcing Model with Public Transportation Infrastructure: A Sustainable Solution for E-Commerce Logistics in Tier-I CitiesSouth Asian Journal of Management10.62206/sajm.30.5.2024.205-23030:5(205-230)Online publication date: 11-Jun-2024
  • (2024)Augmented future: tracing the trajectory of location-based augmented reality gaming for the next ten yearsi-com10.1515/icom-2024-001823:2(189-203)Online publication date: 14-May-2024
  • (2024)Gamification to Motivate the Crowdsourcing of Dynamic Nature Data: A Field Experiment in Northern EuropeProceedings of the 27th International Academic Mindtrek Conference10.1145/3681716.3689440(230-234)Online publication date: 8-Oct-2024
  • (2024)VISHnuInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103243185:COnline publication date: 1-May-2024
  • (2023)Evaluating Collaborative and Autonomous Agents in Data-Stream-Supported Coordination of Mobile CrowdsourcingSensors10.3390/s2302061423:2(614)Online publication date: 5-Jan-2023
  • (2023)Personalized Privacy Protection Based on Space Grid in Mobile CrowdsensingApplied Sciences10.3390/app13231269613:23(12696)Online publication date: 27-Nov-2023
  • (2023)Investigating Users' Inclination of Leveraging Mobile Crowdsourcing to Obtain Verifying vs. Supplemental Information when Facing Inconsistent Smat-city Sensor InformationCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3607001(338-342)Online publication date: 14-Oct-2023
  • (2023)Online Context-Aware Task Assignment in Mobile Crowdsourcing via Adaptive DiscretizationIEEE Transactions on Network Science and Engineering10.1109/TNSE.2022.320741810:1(305-320)Online publication date: 1-Jan-2023
  • (2023)Research Approaches for Building Analytics in Social Network towards Crowdsourcing2023 IEEE 8th International Conference for Convergence in Technology (I2CT)10.1109/I2CT57861.2023.10126479(1-7)Online publication date: 7-Apr-2023
  • (2023)Ridesharing and Crowdsourcing for Smart Cities: Technologies, Paradigms and Use CasesIEEE Access10.1109/ACCESS.2023.324326411(18038-18081)Online publication date: 2023
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