This paper proposes a high-definition digital display case for manipulating a virtual exhibit that has linking mechanisms. This technique enhances the understanding of dynamic exhibits. It is difficult to construct interactive contents of dynamic virtual exhibits, because measuring the mechanism invokes the risk of an exhibit's deterioration, and it takes tremendous efforts to create a fine spun computer graphics (CG) model for mechanisms. Therefore, we propose an image-based interaction method that uses image-based rendering to construct interactive contents for dynamic virtual exhibits using the interpolation between exhibit pictures with a number of deformational conditions and viewpoints. Using this method, we construct a high-definition digital showcase and exhibit the interactive content at a museum to evaluate the availability of our system.

The main contribution of this paper is to realize a method for modifying perception of satiety and controlling nutritional intake by changing the apparent size of food with augmented reality. As a possible method for decreasing rates of obesity, we focused on controlling food intake implicitly without any effort.

The main contribution of this paper is to realize computer generated augmented flavors and establish a method to integrate gustatory information into computer human interactions. There are several reasons for the scarcity of research on gustatory information. One reason is that taste sensations are affected by a number of factors, such as vision, olfaction and memories. This produces a complex cognition mechanism for a user's gustatory sensation, and makes it difficult to build up a gustatory display which produces a specific taste on demand.

In this paper, we propose a pseudo-gustatory display based on the cross-modal interactions that underlie the perception of flavor. Although several studies on visual, auditory, haptic, and olfactory displays have been conducted, gustatory displays have seldom been studied. This scarcity has been attributed to the fact that synthesizing arbitrary taste from basic tastants is difficult. On the other hand, it has been noted that the perception of taste is influenced by visual cues, auditory cues, smell, the trigeminal system, and touch. In our research, we aim at utilizing this influence between modalities for realizing a "pseudo-gustatory" system that enables the user to experience various tastes without changing the chemical composition of foods. Based on this concept, we built a "Meta Cookie" system to change the perceived taste of a cookie by overlaying visual and olfactory information onto a real cookie which an AR marker pattern. We performed an experiment that investigates how people experience the flavor of a plain cookie by using our system. The result suggests that our system can change the perceived taste based on the effect of the cross-modal interaction of vision, olfaction and gustation.

In our research demonstration, we show a "MetaCookie+" that enables the user to experience various tastes without changing the chemical composition of foods by using the influence between modalities. It is a pseudo-gustatory display by combining the Edible Marker system which can detect the state [number/shape/6-DOF coordinate] of each piece of bitten or divided food in real time, and the "Pseudo-gustation" method to change the perceived taste of food by changing its appearance and scent.