Group items tagged

Abstract: "This paper demonstrates the use of a crowdsourced human computation game to accumulate annotations from non-experts as a means to provide labels for an affective facial expression database. To do so, a human computation game is played, in which players are encouraged to ask each other related facial expression questions. These questions are based on the Facial Action Coding System. Emphasis is placed on the participant's overall understanding of the task and on the ease-of-use of the game so that labeling accuracy is reinforced. Additional game mechanics can be used in future work to encourage players to keep playing the game. This crowdsourced labeling of an affective facial expressions database is important because the manual labeling of an affective database can be relatively expensive and time consuming. Our game shows that non-experts are comparable in labeling our affective database based on the ground truth."

Abstract: "ARTigo is a Game with a Purpose platform whose goal is to collect tags for artworks, which can be used for retrieval. The ARTigo gam es form a tagging ecosystem, where the games cooperate in order to gather a wide range of information. Description games create initial tags, in order to enable other games to be played and collect semantically shallow surface tags. Dissemination games sp read existing data to other artworks or languages, and do not create new information. Diversification games feed on data produced by other games and guide the players to entering more specific tags. Finally, integration games create higher - order tags with deep semantic meanings, describing emotions for example. All these different types of tags have different semantic depths, and are present in different quantities. Together, they create a pool of complementary tags accurately describing artworks, which can be processed for data mining."