Print Email Facebook Twitter Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms Title Analyzing Workers Performance in Online Mapping Tasks Across Web, Mobile, and Virtual Reality Platforms Author van Alphen, G.A. (TU Delft Electrical Engineering, Mathematics and Computer Science) Qiu, S. (TU Delft Web Information Systems) Bozzon, A. (TU Delft Human-Centred Artificial Intelligence) Houben, G.J.P.M. (TU Delft Web Information Systems) Faculty Electrical Engineering, Mathematics and Computer Science Date 2020 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. To reference this document use: http://resolver.tudelft.nl/uuid:f0caea51-0638-44fa-a578-cde1db22cf9a Publisher Association for the Advancement of Artificial Intelligence (AAAI) Embargo date 2021-12-01 Source Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2020 G.A. van Alphen, S. Qiu, A. Bozzon, G.J.P.M. Houben Files PDF 7472_Article_Text_10866_1 ... 200930.pdf 3.02 MB Close viewer /islandora/object/uuid:f0caea51-0638-44fa-a578-cde1db22cf9a/datastream/OBJ/view