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Participants learned the layout of large-scale "virtual buildings" through extended navigational experience, using "desk-top" (i.e., nonimmersive) virtual environments (VEs). Experiment 1 recreated a study performed in a real building (P. W. Thorndyke & B. Hayes-Roth, 1982). After overcoming initial disorientation, participants ultimately developed(More)
Navigation is the most common interactive task performed in three-dimensional virtual environments (VEs), but it is also a task that users often find difficult. We investigated how body-based information about the translational and rotational components of movement helped participants to perform a navigational search task (finding targets hidden inside(More)
During navigation, humans combine visual information from their surroundings with body-based information from the translational and rotational components of their movement. Theories of navigation focus on the role of visual and rotational body-based information, even though experimental evidence shows they are not sufficient for complex spatial tasks. To(More)
The following abstracts are from recent issues and the forthcoming issue of ACM's <i>Transactions of Computer Human Interaction</i> (ToCHI). They are included here to alert <i>Interactions'</i> readers to what research is being done in the field of Computer Human Interaction. The complete papers, when published, can be found in ACM's Digital Library at(More)
This study investigated the effect of body-based information (proprioception, etc.) when participants navigated large-scale virtual marketplaces that were either small (Experiment 1) or large in extent (Experiment 2). Extent refers to the size of an environment, whereas scale refers to whether people have to travel through an environment to see the detail(More)
Books listed below that are marked with a † have been selected for review in a future issue, and reviewers have been assigned to each. Authors and publishers who wish their publications to be considered for review in Computational Linguistics should send a copy to the book review editor,evant books received will be listed, but not all can be reviewed.(More)
Image analysis algorithms are often highly parameterized and much human input is needed to optimize parameter settings. This incurs a time cost of up to several days. We analyze and characterize the conventional parameter optimization process for image analysis and formulate user requirements. With this as input, we propose a change in paradigm by(More)