Although some guidelines (e.g., based on architectural principles) have been proposed for designing Virtual Environments (VEs), several usability problems can be identified only by studying the behavior of real users in VEs. This paper proposes a tool, called VU-Flow, that is able to automatically record usage data of VEs and then visualize it in formats that make it easy for the VE designer to visually detect peculiar users' behaviors and thus better understand the effects of her design choices. In particular, the visualizations concern: i) the detailed paths followed by single users or groups of users in the VE, ii) areas of maximum (or minimum) users' flow, iii) the parts of the environment more seen (or less seen) by users, iv) detailed replay of users visits. We show examples of how these visualizations allow one to visually detect useful information such as the interests of users, navigation problems, users' visiting style. Although this paper describes how VU-Flow can be used in the context of VEs, it is interesting to note that the tool can be also applied to the study of users of location-aware mobile devices in physical environments.

This paper presents a tool for the visual analysis of navigation patterns of moving entities, such as users, virtual characters, or vehicles in 3D Virtual Environments (VEs). The tool, called VU-Flow, provides a set of interactive visualizations that highlight interesting navigation behaviors of single or groups of moving entities that were the VE together or separately. The visualizations help to improve the design of VEs and to study the navigation behavior of users, e.g., during controlled experiments. Besides VEs, the proposed techniques could also be applied to visualize real-world data recorded by positioning systems, allowing one to employ VU-Flow in domains such as urban planning, transportation, and emergency response.

No abstract

No abstract

No abstract