Karen S. Seidler
University of Illinois at Urbana–Champaign
7 Papers
82 Citations
Karen S. Seidler is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Protocol analysis & Protocol data unit. The author has an hindex of 4, co-authored 7 publications.
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Papers
Three-Dimensional Displays: Perception, Implementation, and Applications
Christopher D. Wickens,Steven Todd,Karen S. Seidler +2 more
- 01 Oct 1989
TL;DR: In this paper, the basic perceptual cues used to perceive the third dimension are described, and empirical data bearing on the interaction between these cues are discussed, and it is concluded that stereopsis motion, and occlusion are particularly salient cues.
95
SHAPA: an interactive software environment for protocol analysis
TL;DR: This paper briefly reviews work on verbal report and describes SHAPA, an interactive program for performing both verbal and non-verbal protocol analysis that allows protocol analysis to be performed at any level of analysis and supplies many tools for data aggregation, manipulation and analysis.
61
Distance and organization in multifunction displays
TL;DR: This study identified three metrics that could be used to operationalize the concept of distance in an MFD and suggested that the three distance metrics are meaningful within the context of a multifunction display.
29
Information access in a dual-task context: testing a model of optimal strategy selection.
TL;DR: Dual-task strategy, inferred from the decision of which task to allocate to the 2nd viewport, revealed that allocation was generally biased in favor of the monitoring task and was only partly sensitive to the difficulty of the 2 tasks and their relative priorities.
21
The effects of task and multifunction display characteristics on pilot viewport allocation strategy
Karen S. Seidler,Christopher D. Wickens +1 more
- 01 Oct 1995
TL;DR: The results indicated that longer single task traversals resulted from integration problems, from more distant nodes, and from nodes that shared the same top level of the hierarchy.
3