PhotoSlap: A Multi-player Online Game for Semantic Annotation
PhotoSlap: A Multi-player Online Game for Semantic Annotation
复制标题
PhotoSlap：一款用于语义标注的多人在线游戏
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Jane Yung
中科院分区：
文献类型：
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作者：
Chien;Tsung;Jane Yung
多媒体内容的搜索引擎提出了特殊的挑战，可以受益于图像的语义标注。不幸的是，手动标记对于人类来说太繁琐和耗时，而自动图像注释对于计算机来说太困难。在本文中，我们探讨了人类计算的力量，通过设计一个多人在线游戏，PhotoSlap，实现注释元数据的数字照片的集合的任务。PhotoSlap让用户参与到一个互动游戏中，这个游戏利用了人类的能力，可以快速破译计算机呈现的两张连续图像中是否出现了同一个人。游戏机制支持反对和陷阱行动，以鼓励玩家的真实输入。本研究从博弈论设计原理和量化评价指标两个方面扩展了人类计算研究。特别地，当参与者是理性的且没有共谋时，PhotoSlap可以达到目标策略的子博弈完美均衡。已经进行了涉及四个焦点小组的实验，初步结果表明，该游戏在为照片集注释人物元数据方面是有趣和有效的。
Multimedia content presents special challenges for the search engines, and could benefit from semantic annotation of images. Unfortunately, manual labeling is too tedious and time-consuming for humans, whereas automatic image annotation is too difficult for the computers. In this paper, we explore the power of human computation by designing a multi-player online game, PhotoSlap, to achieve the task of annotating metadata for a collection of digital photos. PhotoSlap engages users in an interactive game that capitalizes on human ability in deciphering quickly whether the same person shows up in two consecutive images presented by the computer. The game mechanism supports the objection and trap actions to encourage truthful input from the players. This research extends human computation research in two aspects: game-theoretic design principles and quantitative evaluation metrics. In particular, PhotoSlap can be shown to reach subgame perfect equilibrium with the target strategy when players are rational and without collusion. Experiments involving four focus groups have been conducted, and the preliminary results demonstrated the game to be fun and effective in annotating people metadata for photo collections.