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KissKissBan: A Competitive Human Computation Game for Image Annotation
 

KissKissBan: A Competitive Human Computation Game for Image Annotation

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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 ...

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.

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    KissKissBan: A Competitive Human Computation Game for Image Annotation KissKissBan: A Competitive Human Computation Game for Image Annotation Presentation Transcript

    • KissKissBan A Competitive Human Computation Game for Image Annotation Chien-Ju Ho*, Tao-Hsuan Chang+, Jong-Chuan Lee+, Jane Yun-jen Hsu+, Kuan-Ta Chen* *Academia Sinica +National Taiwan University
    • Human Computation Game Collaborative Mechanisms
    • Coalition Problem Limited Data Diversity
    • The ESP Game • Coalition problem • partner with themselves • unified strategy • Limited diversity • easy words first
    • Competitive Mechanism?
    • Player 1 Player 2 DOG CUTE FLOWER WOOD FLOOR DOG
    • Player 1 Player 2 DOG CUTE FLOWER WOOD FLOOR DOG DELIVER EMOTION BY TYPING THE SAME WORD
    • Couple Couple DOG CUTE FLOWER WOOD FLOOR DOG DELIVER EMOTION BY TYPING THE SAME WORD
    • Blocker Couple Couple DOG DOG CUTE WHITE FLOWER WOOD FLOOR DOG
    • Blocker Couple Couple DOG DOG CUTE WHITE FLOWER WOOD FLOOR DOG KissKissBan A Competitive Human Computation Game for Image Annotation
    • Blocker Couple Couple DOG CUTE DOG Blocked WHITE WOOD FLOWER FLOWER FLOOR The blocked words -5s game time -5s game time 1. First, the blocker has 7 seconds to type words 2. Then, the couples has 30 seconds to type words
    • Blocker Couple Couple DOG CUTE DOG WHITE WOOD FLOWER FLOWER FLOOR Couples win for matching within time limit 1. First, the blocker has 7 seconds to type words 2. Then, the couples has 30 seconds to type words
    • Screenshots of KissKissBan
    • Intuitions Behind the Game
    • Incentive Structure • Zero sum game • strict competitive • players can not benefit from coalition • Different decision time periods • harder words, longer consideration [Barry et al. 2001] • diverse data contribution
    • Small-scale Experiment • Image Source • 125 images randomly from ESP dataset • Experiment Setup • 17-player gameplay survey • Data collection on Mechanical Turk
    • Gameplay Survey • Fun • 3.76/5 overall rating • 15/17 players claim that would play again • over 60% like to play as a blocker
    • MTurk Experiment • Collecting data from anonymous users • Publish two games for comparison • KissKissBan • ESP Game without taboo words • Each game is played for ~5000 rounds
    • Example of Collected Data ESP ML-KKB BL-KKB beach 3 sea 9 water 3 man 21 man 8 sand 3 beach 10 ocean 3 sea 2 karate 5 black 1 ninja 1 water 1 china 1 kungfu 1 sand 1 ocean 1 ML-KKB: matching between couples BL-KKB: matching between couple and blocker
    • MTurk Experiment • Data property • For each image • ESP: 39.96 labels, 6.56 distinct labels • KKB: 44.17 labels, 11.53 distinct labels • A more diverse player contribution
    • Conclusion • We proposed a competitive human computation game, KissKissBan. • KissKissBan has two nice properties • a player-level anti-coalition mechanism • diverse player input
    • More in the Future • Publish the game on Facebook within the next one to two months. • Study the different tagging behaviors of the blocker and the couples. • Apply the competitive mechanism to more general human computation game design.
    • Q &A