Perceptual/Cognitive Aspects of Augmented Reality: Experimental Research and a Computational ModelTracking Number: 21-000000200
Abstract
Abstract -- Approved for Public ReleaseThis proposed work seeks to understand tradeoffs between human factors design principles (such as display location, display imagery, task type, proximity-compatibility) and the conflicts that may arise between those principles in Augmented Reality (AR), with the objective to create a general model and guidelines for optimal AR display design. Well-designed information displays need to maximize performance not just within an imperative, current task, but also for ongoing and emerging elements vital to situation awareness. This necessitates appropriately managing a range of information processing demands, effort, and cognitive load.We will use prior literature in the creation of an initial framework of the core factors that have previously commonly been studied in isolation. Building from this framework, we will conduct a meta-analysis to seek to identify the nature of the benefits or costs of various factors, the magnitude of effects, moderators for effects and known interactions across elements, and critical gaps within the literature. This process will allow us to turn a qualitative descriptive model of influences, into a quantitative computational model that can actually predict the figure of merit or overall quality of the displayed imagery, as a joint function of task and display imagery features. Such a model will explicitly quantify the tradeoffs inherent in design, between clutter versus location separation costs, as well as other variables such as legibility versus clutter. Empirical work using static and simulated AR displays, discrete task AR experiments, and continuous task AR experiments will be used in parallel to supply critical missing information, and to extend, refine, and validate the model. The complex combinations of factors such as the location, task type, and imagery features, yield performance within the experimental tasks, which will be assessed directly through speed and accuracy ofresponses. Our corefocus in the empirical work will be on manipulating, as independent variables, aspects such as the location and format of information in a systematic way, and in particular to assess the clutter-scan tradeoff. Such findings will reveal the position of optimal performance along these tradeoffs, which can achieved through the context-appropriate setting of display features, such as location, conformality, legibility and contrast. The resulting quantitative model will provide the basis for creating concrete guidelines and principles, elucidating the relative impact of the factors, characterizing the nature of their influence, and how various combinations tradeoff.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 09, 2021
- Source ID
- N000142112580
Entities
People
- Francisco Ortega
Organizations
- Colorado State University
- Office of Naval Research
- United States Navy