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Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
|September 30, 2021
Summary
Multisensory cues in augmented reality (AR) improve awareness of out-of-view objects. Tactile feedback significantly speeds up reactions to new information, especially in narrow field-of-view AR displays.
Area of Science:
- Human-Computer Interaction
- Augmented Reality Systems
- Multisensory Perception
Background:
- Augmented reality (AR) applications enhance user environments with digital information.
- Limited fields of view (FOV) in AR devices hinder awareness of off-screen or emerging content.
- Visual conflicts like clutter and occlusion are exacerbated in dense information AR spaces.
Purpose of the Study:
- To evaluate multisensory cue combinations for improving awareness of moving out-of-view objects in narrow FOV AR displays.
- To differentiate between proximity cues (spatial awareness) and transition cues (entering FOV).
- To assess user preferences and performance across various cue combinations under different noise conditions.
Main Methods:
- Study 1: Determined user preference for 6 multisensory cue combinations using forced-choice decisions.
- Study 2: Evaluated the 3 most preferred combinations on performance and awareness in a divided attention reaction task.
- Both studies incorporated varying levels of auditory and visual noise.
Main Results:
- Visual-Tactile and Audio-Tactile cue combinations significantly improved reaction times to out-of-view augmentations compared to Visual-Audio.
- Tactile transition cues demonstrated high utility in alerting users to newly appearing information.
- Visual and auditory noise negatively impacted performance when visual proximity cues were used.
Conclusions:
- Multisensory cue combinations, particularly those involving tactile feedback, enhance user awareness and reaction times in AR systems with narrow FOVs.
- Tactile transition cues are highly effective for notifying users of out-of-view object appearances.
- Recommendations are provided for selecting appropriate cue combinations based on specific AR application requirements and environmental noise levels.
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