KissKissBan: A Competitive Human Computation Game for Image Annotation Authors: Chien-Ju Ho, Tao-Hsuan Chang, Jong-Chuan Lee, Jane Yung-jen Hsu, Kuan-Ta Chen Keywords: Amazon Mechanical Turk, ESP Game, Games With A Purpose, Human Computation, Image Annotation
Abstract:
In this paper, we propose a competitive human computation game, KissKissBan (KKB), for image annotation. KKB is different from other human computation games since it integrates both collaborative and competitive elements in the game design. In a KKB game, one player, the blocker, competes with the other two collaborative players, the couples; while the couples try to find consensual descriptions about an image, the blocker’s mission is to prevent the couples from reaching consensus. Because of its design, KKB possesses two nice properties over the traditional human computation game. First, since the blocker is encouraged to stop the couples from reaching consensual descriptions, he will try to detect and prevent coalition between the couples; therefore, these efforts naturally form a player-level cheating-proof mechanism. Second, to evade the restrictions set by the blocker, the couples would endeavor to bring up a more diverse set of image annotations. Experiments hosted on Amazon Mechanical Turk and a gameplay survey involving 17 participants have shown that KKB is a fun and efficient game for collecting diverse image annotations.
This article makes me wonder about the use of “games” for the construction of topic maps?
I don’t know of any theoretical reason why topic map construction has to resemble a visit to the dentist office. 😉
Or for that matter, why does a user needs to know they are authoring/using a topic map at all?
Questions:
- What other game or game like scenario’s do you think lend themselves to the creation of online content? (3-5 pages, citations)
- What type of information do you think users could usefully contribute to a topic map (whether known to be a topic map or not)? (3-5 pages, no citations)
- Sketch out a proposal for an online game that adds information, focusing on incentives and the information contributed. (3-5 pages, no citations)