This paper presents an Augmented Reality (AR) game for learning words. Thirty-two children played the AR game and the equivalent real game. We have compared the results of the two games. The results indicate that children did not found significant differences between the two games except for one question, but 81% of the children liked most the AR game.

This paper presents the MnemoCity task, which is a 3D application that introduces the user into a totally 3D virtual environment to evaluate spatial short-term memory. A study has been carried out to validate the MnemoCity task for the assessment of spatial short-term memory in children, by comparing the children’s performance in the developed task with current approaches. A total of 160 children participated in the study. The task incorporates two types of interaction: one based on standard interaction and another one based on natural interaction involving physical movement by the user. There were no statistically significant differences in the results of the task using the two types of interaction. Furthermore, statistically significant differences were not found in relation to gender. The correlations between scores were obtained using the MnemoCity task and a traditional procedure for assessing spatial short-term memory. Those results revealed that the type of interaction used did not affect the performance of children in the MnemoCity task.

We present a client/server system that is able to display 3D scenes on handheld devices. This kind of devices have important restrictions of memory and computing power. Therefore, we need to limit the amount of geometry sent by the server to each client. We extract the geometry that is visible for each client and send it. The clients render the geometry using the OpenGL ES [10] API. Our geometry extraction algorithm employs multiresolution and view-dependent simplification. We present results of our system running on a software implementation of OpenGL ES that runs on a Pock-etPC 2003.