Publication | Closed Access
Using Multi-Level Precueing to Improve Performance in Path-Following Tasks in Virtual Reality
24
Citations
30
References
2021
Year
EngineeringVisualization (Graphics)Ar Task InteractionHuman Performance ModelingPath-following TasksCurrent StepVirtual RealityImmersive TechnologySystems EngineeringMulti-level Precueing3D User InteractionRobot LearningPath PlanningCognitive ScienceTask PerformanceDesignIntelligent Virtual EnvironmentVisualization ParadigmsComputer ScienceMulti-user VrVisual ReasoningVirtual WorldsEye TrackingBusinessHuman-computer InteractionRobotics
Work on VR and AR task interaction and visualization paradigms has typically focused on providing information about the current step (a cue) immediately before or during its performance. Some research has also shown benefits to simultaneously providing information about the next step (a precue). We explore whether it would be possible to improve efficiency by precueing information about multiple upcoming steps before completing the current step. To accomplish this, we developed a remote VR user study comparing task completion time and subjective metrics for different levels and styles of precueing in a path-following task. Our visualizations vary the precueing level (number of steps precued in advance) and style (whether the path to a target is communicated through a line to the target, and whether the place of a target is communicated through graphics at the target). Participants in our study performed best when given two to three precues for visualizations using lines to show the path to targets. However, performance degraded when four precues were used. On the other hand, participants performed best with only one precue for visualizations without lines, showing only the places of targets, and performance degraded when a second precue was given. In addition, participants performed better using visualizations with lines than ones without lines.
| Year | Citations | |
|---|---|---|
Page 1
Page 1