Abstract
In this paper, we propose a user experience environment model for quantifying user experience information in a virtual space. This model consists of a spatial model, a user activity model, and an object model. The spatial and the object models represent a space containing the objects the user is using. The user activity model contains information on the experience information that a user accumulates while using the space. Experiments to quantify the user experience in the high complexity space require a lot of time and money. Thus, this approach can reduce the cost of obtaining user experience information by composing a virtual space similar to the real space and predicting the user activity in this space. In conclusion, we propose a simulator for collecting information on user experience environments and for predicting user activity through knowledge gained using the collected data.
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