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Client: Utrecht University Date: February 2020 - July 2020 Course: Final Bachelor Project
During my final bachelor project, I designed a tool that allows for crowdsourcing the annotation of geospatial datasets. I set out to innovate on classic crowdsourcing platforms, and created and tested a chatbot for the task.
This project was graded with a 9 out of 10.
In a near future, computers will be able to answer geo-analytical questions like: how densely are trees located in Amsterdam. In order to enable this future, geospatial datasets must be organized in such a way that the computer can choose the right one for the task. In Utrecht, they developed a classification to allow this organization. However, annotating the geospatial datasets using this classification is a task that requires abstract thinking and can not yet be executed by a computer.
This project explores the creation of a tool that allows annotating these datasets on a large scale by volunteers. After exploring tangible tools and a way to create tangible interfaces using Augmented Reality, a prototype was created that employs a chatbot. The chatbot asks users multiple-choice questions about a geodata set, in order to annotate them in the right categories. This prototype was evaluated to be quicker to use than the control study, in which an instruction manual was used to teach the annotating task.
Publisher: ChCHI 2021
Author(s): Yunxing Liu, Tjeu van Bussel, Vassilis-Javed Khan, Jean-Bernard Martens