Cognitive Strategies for the Visual Search of Hierarchical Computer Displays
Bibliographic Data
| ID | 15216019 |
|---|---|
| Authors | Anthony J Hornof (University of Oregon, corresponding author) |
| Year | 2004 |
| Volume | 19 |
| Issue | 3 |
| Pages | 183-223 |
| Publication date | 2004-08-18 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human-Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 0737-0024 • E-ISSN: 1532-7051 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1207/s15327051hci1903_1 |
| OpenAlex | W2089623033 |
| Language | EN |
| Citations received | 8 |
| References cited | 33 |
This article investigates the cognitive strategies that people use to search computer displays. Several different visual layouts are examined: unlabeled layouts that contain multiple groups of items but no group headings, labeled layouts in which items are grouped and each group has a useful heading, and a target-only layout that contains just one item. A number of plausible strategies were proposed for each layout. Each strategy was programmed into the EPIC cognitive architecture, producing models that simulate the human visual-perceptual, oculomotor, and cognitive processing required for the task. The models generate search time predictions. For unlabeled layouts, the mean layout search times are predicted by a purely random search strategy, and the more detailed positional search times are predicted by a noisy systematic strategy. The labeled layout search times are predicted by a hierarchical strategy in which first the group labels are systematically searched, and then the contents of the target group. The target-only layout search times are predicted by a strategy in which the eyes move directly to the
Cognition · Cognitive architecture · Hierarchy · Perception · Task (project management · Visual perception · Visual Search · Computer Science · Engineering · Gaze Tracking and Assistive Technology · Psychology · Visual and Cognitive Learning Processes · Visual perception and processing mechanisms · Artificial Intelligence
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| Citations per year | 0.42 |
|---|---|
| Citation span | 2007 - 2025 (19) |
| Highly cited | No |