Integral Perception in Augmented Reality
MetadataShow full item record
The first experiment was a psychophysical study that had participants subjectively assess the integrality of 32 scenes comprising four different augmented reality object environments (computer, brain, text, and liquid dynamic model), projected at two transparency levels (opaque, and semi-transparent), and presented with four different graphic textures (color, grayscale, white, and wireframe).
The second experiment expanded the psychophysical integrality assessment of augmented scenes to 32 different images composed of four new environments (housing development, computer lab, planetary photo, and trees in countryside), with multiple computer-generated graphics (two, four, six, and eight), at two levels of integrality as defined by experiment one (high, low).
The third experiment was an applied study that had two phases: 1) learning tasks using three augmented environments; and, 2) assembly tasks using eight augmented video instructions. The computer-generated graphics for each phase of experiment three were presented at two levels of integrality (high, low) as defined by experiment one.
The primary results of the three experiments show that augmented reality scenes with computer-generated imagery presented transparently and in color were perceived most integrally; increasing the number of graphics from two to eight decreased integral perception; and, high integral graphics aided performance in learning and real assembly tasks.
From the statistical results and experimenter observation of the three experiments, guidelines for designing integrally perceived graphics in augmented environments were compiled based on principles of human factors, perception, and graphic design. The key themes of the design guidelines were: 1) maintaining true shape information in the computer-generated graphics 2) using highly realistic graphics for naturalistic augmented settings; 3) considering the hardware limitations of the augmented system, particularly the display; and, 4) designing appropriately for the task (simple, complex, hands-on, cognitive, dynamic, static, etc.).
- Doctoral Dissertations