A Computational Model of “Active Vision” for Visual Search in Human–Computer Interaction
Bibliographic Data
| ID | 15216161 |
|---|---|
| Authors | Tim Halverson (0000-0002-4036-0620, United States Air Force Research Laboratory, corresponding author), Anthony J Hornof (University of Oregon) |
| Year | 2011 |
| Volume | 26 |
| Issue | 4 |
| Pages | 285-314 |
| Publication date | 2011-12-30 |
| 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 | 10.1080/07370024.2011.625237 |
| OpenAlex | W2026558133 |
| Language | EN |
| Citations received | 6 |
| References cited | 37 |
Human visual search plays an important role in many human–computer interaction (HCI) tasks. Better models of visual search are needed not just to predict overall performance outcomes, such as whether people will be able to find the information needed to complete an HCI task, but to understand the many human processes that interact in visual search, which will in turn inform the detailed design of better user interfaces. This article describes a detailed instantiation, in the form of a computational cognitive model, of a comprehensive theory of human visual processing known as ‘‘active vision’ ’ (Findlay & Gilchrist, 2003). The computational model is built using the Executive Process-Interactive Control cognitive architecture. Eye-tracking data from three experiments inform the development and validation of the model. The modeling asks—and at least partially answers—the four questions of active vision: (a) What can be perceived in a fixation? (b) When do the eyes move? (c) Where do the eyes move? (d) What information is integrated between eye movements
Active vision · Cognition · Cognitive architecture · Cognitive model · Cognitive science · Computational model · Eye movement · Eye tracking · Fixation (population genetics · Gaze · Human–computer interaction · Vision science · Visual Search · Computer Science · Gaze Tracking and Assistive Technology · Neural and Behavioral Psychology Studies · Psychology · Visual perception and processing mechanisms · Artificial Intelligence
Modeling how menu search strategies develop with experience
Understanding visual search in graphical user interfaces
Covert-attention shifting superseded
Evolution and trends in visual search research
Trigger motion and interface optimization of an eye-controlled human-computer interaction system based on voluntary eye blinks
The task-attention theory of game learning
What attributes guide the deployment of visual attention and how do they do it?
Guided Search 2.0 A revised model of visual search
Identifying fixations and saccades in eye-tracking protocols
Strategies for Guiding Interactive Search
Modeling the Visual Search of Displays
An Overview of the Epic Architecture for Cognition and Performance With Application to Human-Computer Interaction
Act-R
Cognitive Strategies for the Visual Search of Hierarchical Computer Displays
A Cognitive Model for Understanding Graphical Perception
Snif-Act
| Citations per year | 1.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |