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Mobile crowdsourcing app for smart cities
2016 8th Euro American Conference on Telematics and Information Systems (EATIS), 2016As current changes in population disposition are increasingly focused on cities and mega-cities, problems associated with rapid urbanization and high population density are becoming very evident and are affecting the lives of millions of people. Thus, the development of solutions that make the organization and use of urban space more efficient is ...
Bruno L. K. Barroso +2 more
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Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
The increasing popularity of mobile crowdsourcing platforms has enabled crowd workers to accept jobs wherever/whenever they are, and also provides opportunity for task requesters to order time/location specific tasks to workers. Since workers on mobile platforms are working on the go, the situation of the workers is expected to influence their ...
Kazushi Ikeda, Keiichiro Hoashi
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The increasing popularity of mobile crowdsourcing platforms has enabled crowd workers to accept jobs wherever/whenever they are, and also provides opportunity for task requesters to order time/location specific tasks to workers. Since workers on mobile platforms are working on the go, the situation of the workers is expected to influence their ...
Kazushi Ikeda, Keiichiro Hoashi
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Crowdsourcing techniques for smart urban mobility
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2018The proliferation of smart technologies has provided significant advances in the way people receive information and interact in smart cities. For instance, smart traffic monitoring systems allow citizens and city operators to receive in real-time alerts about traffic conditions.
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Games for Crowdsourcing Mobile Content
Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016Crowdsourcing of mobile content through games is becoming a major way of populating information-rich online environments. A current research gap is that actual usage patterns of crowdsourcing games has been inadequately investigated. We address this gap by comparing content creation patterns in a game for crowdsourcing mobile content against a non-game
Dion Hoe-Lian Goh +2 more
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An architecture for adhesive mobile crowdsourcing application
2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2015Continual increase in household items prices has prompted the need to have a mechanism that enables comparison of prices to be made between different stores. Through the comparison, consumers are able to find stores that sell items at lower prices, hence helping them to save on their household expenditures. The success of this mechanism strongly relies
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Obstacles of Mobile Crowdsourcing: A Survey
2019 IEEE Pune Section International Conference (PuneCon), 2019Mobile Crowdsourcing is now a highly compelling topic for research. Using crowdsourcing, a user can request for a solution to any problem he or she is facing to the mass people. In today’s world, crowdsourcing can be applied to solve industrial, academical, business, and other problems. The utility of the crowdsourcing system depends on the involvement
Linta Islam +3 more
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Rankr: A Mobile System for Crowdsourcing Opinions
2012Evaluating large sets of items, such as business ideas, is a difficult task. While no one person has time to evaluate all the items, many people can contribute by each evaluating a few. Moreover, given the mobility of people, it is useful to allow them to evaluate items from their mobile devices.
Yarun Luon +2 more
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Mobile and situated crowdsourcing
International Journal of Human-Computer Studies, 2017Jorge Gonçalves 0001 +3 more
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Mobile Crowdsourcing and Inertial Sensing
2018This chapter presents the preliminary background on mobile crowdsourcing and inertial sensing, which together have opened the new possibilities for wireless indoor localization, after more than a decade of development. In particular, we first introduce the basic concept of mobile crowdsourcing.
Chenshu Wu, Zheng Yang, Yunhao Liu
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