Productivity Game Design and Gameplay Analysis: Play and Annotate with PhotoSlap
Date Issued
2007
Date
2007
Author(s)
Chang, Tsung-Hsiang
DOI
en-US
Abstract
Multimedia content presents special challenges for the search engines. Although the search engines could benefit from semantic annotation of images, unfortunately, neither manual labeling nor automatic annotation is effective. Manual labeling is too tedious and time-consuming for humans, whereas automatic image annotation is too difficult for the computers. In this thesis, we explore the power of human computationby 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.
This research extends human computation research toproductivity gamesin two aspects: general gameplay designing principles and quantitative evaluation metrics. In particular, PhotoSlap can be shown to keep players engaged and ensure the productivity by adopting the flow principle and the dramatic principle. A experiment has been conducted to demonstrate the game to be fun and effective in annotating people metadata for photo
collections. Moreover, a second experiment has been conducted to show two gameplay designing principles to be effective in productivity games.
Subjects
人機協力計算
遊戲設計
遊戲性
照片標註
人像辨識
Human computation
game design
gameplay
photo annotation
face recognition
Type
thesis
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