No abstract

Considering the art of Persian rug design as a computation creative design problem, with a vast domain space of possible design solutions that have aesthetic, cultural and historical considerations, we describe our dual stage genetic algorithm system for designing basic patterns of a specific type of Persian rugs. Our approach uses hard and soft design rules that we have been gleaned from the passed down traditions of "Shah Abbas" Persian rug design. We break down the rug generation into two phases. In the first phase, the rug (a collection of connected spirals as a core structure) is generated exploiting the available genetic operators. In the second phase, an evaluation mechanism based on the most basic soft design rules ranks each generated genotype and the highly ranked genotypes are presented to the user to select the most aesthetically acceptable rugs for the next evolution. We report on early results in this paper.

Location-Based Games (LBGs) have been gaining both academic and industrial interest in the past few years. Utilizing location information, LBGs enable users to extend their social game-play from cyberspace to the real-world. However, sharing personal information particularly the physical location of users is likely to raise privacy concerns resulting in eroding players' social experience. To further explore this issue, we investigated the impacts of two attributes of privacy, avatar realism and location-awareness, on the players' perceived social presence during a designed LBG. The results indicated that the social presence was not significantly affected by the applied privacy configurations. However, players' negative feelings decreased when photographic images of players were used as their avatars. Further, players desired to share their physical location and sacrifice location privacy in order to track other players. Our findings suggest that a welldesigned LBG can lessen users' location privacy concerns.