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."

from the abstract: "In this dissertation, a study of the serious games' validity for assessing the in-vehicle information systems ergonomics is presented. Results show that by using low-cost serious game it is possible to successfully predict the interactions' impact on driving performance. Moreover, the developed serious game obtained very promising driving performance approximations to a high fidelity driving simulator. This simulator was used, along with the serious game, to study the impact of two elementary tasks in the current in-vehicle information systems: read text and navigate menus manually. Both tasks affected significantly the vehicle's lateral control, and less significantly the longitudinal control. A final experiment was conducted to confirm the existence of the serious game influence over the behaviour of subjects. It was possible to observe that the game applied a positive impact to drivers' behaviour by improving their lateral and longitudinal control over the vehicle."