Estimating distances and traveled distances in virtual and real environments

Virtual environments (VEs) have gained widespread use in recent years as a tool for training new skills, particularly in cases where training in the real environment can be risky or dangerous. But while there are many potential applications that could benefit from using VEs, our understanding of several basic perceptual and cognitive tasks in VEs distance and traveled distance estimation, speed estimation, spatial orientation, and wayfinding is not yet well developed. This dissertation increases understanding of two of these problems through three experiments on distance estimation and three on traveled distance estimation. The first experiment directly compared participants’ distance estimates across several visual presentation methods and measurement protocols. Results, for instance, showed no significant differences between estimates made when VEs are displayed in a head-mounted or a large-screen immersive display. In the second distance estimation experiment, participants made a series of distance judgments with feedback during an adaptation phase, and then made a series of “test phase” judgments without feedback in an environment that was similar but differently scaled. Under certain scaling conditions, there were significant differences between adaptation accuracy and test accuracy, suggesting that people’s perceptual judgment is less well grounded in VEs than in the real world. Finally, our third distance estimation experiment was a pilot that further confirmed underestimation of distances in VEs while providing initial experience with a travel distance task valuable for the second half of our research.