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Home / Proceedings / Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms

February 1, 2023

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Authors

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben

Delft University of Technology,Delft University of Technology,Delft University of Technology,Delft University of Technology


DOI:

10.1609/hcomp.v8i1.7472


Abstract:

In online crowd mapping, crowd workers recruited through crowdsourcing marketplaces collect geographic data. Compared to traditional mapping methods, where workers physically explore the area, the benefit of using online crowd mapping is the potential to be cost-effective and time-efficient. Previous studies have focused on mapping urban objects using street-level imagery. However, they are specifically aimed at a single type of object, and only through web platforms. To the best of our knowledge, there is still a lack of understanding on how workers perform the mapping tasks through different platforms. Aiming to fill this knowledge gap, we investigate the worker performance across web, mobile, and virtual reality platforms by designing a multi-platform system for mapping urban objects using street-level imagery with novel methods for geo-location estimation. We design a preliminary study to show the feasibility of executing online mapping tasks on three platforms. The result demonstrates that the type of task and execution platform can affect the worker performance in terms of worker accuracy, execution time, user engagement, and cognitive load.

Topics: HCOMP

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HOW TO CITE:

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (2020) 141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms HCOMP 2020, 141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben (2020). Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2020 p.141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. 2020. Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms. "Proceedings of the AAAI Conference on Human Computation and Crowdsourcing". 141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. (2020) "Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms", Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, p.141-149

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben, "Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms", HCOMP, p.141-149, 2020.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. "Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2020, p.141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. "Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, (2020): 141-149.

Gerard van Alphen,Sihang Qiu,Alessandro Bozzon,Geert-Jan Houben. Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms. HCOMP[Internet]. 2020[cited 2023]; 141-149.


ISSN: 2769-1349


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