FindItOut: a Crowdsourcing Discriminative Tacit Knowledge Elicitation Multiplayer Game using Pictures
A. Hu (TU Delft - Electrical Engineering, Mathematics and Computer Science)
A.M.A. Balayn – Mentor (TU Delft - Web Information Systems)
Ujwal Gadiraju – Mentor (TU Delft - Web Information Systems)
Jie Yang – Mentor (TU Delft - Web Information Systems)
BHM Gerritsen – Coach (TU Delft - Computer Science & Engineering-Teaching Team)
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Abstract
Despite the ever-growing advances in artificial intelligence (AI), common sense acquisition and reasoning is still comparingly in their early stages to other fields in AI. To further advance this field, it is necessary to collect large amounts of common sense facts or tacit knowledge to train such AI models. One effective way is to use crowdsourcing and games to make the collection process both widely available and fun at the same time. Currently, there are no tools to collect discriminative tacit knowledge efficiently and accurately. In this work, we propose FindItOut: a crowdsourcing tacit knowledge elicitation solution with multiplayer gamification and images to collect general-purpose and discriminative tacit knowledge. We show that using FindItOut, we can both efficiently and accurately collect discriminative tacit knowledge while also being fun and engaging.