GECKA3D: A 3D Game Engine for Commonsense Knowledge Acquisition
Erik Cambria, Tam V. Nguyen, Brian Cheng, Kenneth Kwok, Jose Sepulveda

TL;DR
This paper presents GECKA3D, a 3D game engine designed to facilitate the collection of commonsense knowledge by engaging game designers and players through serious games that are both entertaining and educational.
Contribution
The paper introduces a novel 3D game engine that combines serious gaming with knowledge acquisition, enabling efficient collection of commonsense information.
Findings
Platform supports reusable, multi-purpose knowledge collection
Games can entertain and educate simultaneously
Facilitates gathering of commonsense knowledge from designers
Abstract
Commonsense knowledge representation and reasoning is key for tasks such as artificial intelligence and natural language understanding. Since commonsense consists of information that humans take for granted, gathering it is an extremely difficult task. In this paper, we introduce a novel 3D game engine for commonsense knowledge acquisition (GECKA3D) which aims to collect commonsense from game designers through the development of serious games. GECKA3D integrates the potential of serious games and games with a purpose. This provides a platform for the acquisition of re-usable and multi-purpose knowledge, and also enables the development of games that can provide entertainment value and teach players something meaningful about the actual world they live in.
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Semantic Web and Ontologies · Image Retrieval and Classification Techniques
