Name
Abstract | ||
|---|---|---|
This paper describes the development and preliminary design of a game with a purpose that attempts to build a corpus of useful and original videos of human motion. This content is intended for use in applications of machine learning and computer vision. The game, Motion Chain, encourages users to respond to text and video prompts by recording videos with a web camera. The game seeks to entertain not through an explicit achievement or point system but through the fun of performance and the discovery inherent in observing other players. This paper describes two specific forms of the game, Chains and Charades, and proposes future possibilities. The paper describes the phases of game design as well as implementation details then discusses an approach for evaluating the game's effectiveness. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2212776.2212452 | CHI Extended Abstracts |
Keywords | Field | DocType |
human motion,preliminary design,computer vision,motion chain,explicit achievement,original video,webcam game,crowdsourcing gesture collection,future possibility,game design,implementation detail,point system,crowdsourcing,machine learning,gesture | Game programming,Video game design,Computer science,Game art design,Video game development,Game design,Game design document,Human–computer interaction,Game Developer,Multimedia,Game development tool | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
1 | ||