FindItOut: a Crowdsourcing Discriminative Tacit Knowledge Elicitation Multiplayer Game using Pictures

FindItOut: a Crowdsourcing Discriminative Tacit Knowledge Elicitation Multiplayer Game using Pictures

Hu, Andrea (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology)

Balayn, A.M.A. (mentor)
Gadiraju, Ujwal (mentor)
Yang, J. (mentor)
Gerritsen, B.H.M. (graduation committee)

Delft University of Technology

Computer Science and Engineering

CSE3000 Research Project

2021-07-02

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.

Common sense
Tacit knowledge elicitation
Crowdsourcing
GWAP
Gamification
Web-based games
ConceptNet 5
HCI
Game with a purpose

http://resolver.tudelft.nl/uuid:b2645fff-49ca-4392-b5e9-3794fa9fca19

https://finditout.vercel.app Publicly accessible link to FindItOut game

Student theses

bachelor thesis

© 2021 Andrea Hu