User evaluation of see-through vision for mobile outdoor augmented reality
We have developed a system built on our mobile AR platform that provides users with see-through vision, allowing visualization of occluded objects textured with real-time video information. We present a user study that evaluates the user’s ability to view this information and understand the appearan...
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| Hauptverfasser: | , , |
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| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: |
Computing methodologies
> Artificial intelligence
> Computer vision
> Computer vision tasks
> Scene understanding
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Model verification and validation
Computing methodologies
> Modeling and simulation
> Model development and analysis
> Modeling methodologies
Human-centered computing
> Human computer interaction (HCI)
> Interaction paradigms
> Mixed
> augmented reality
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| Zusammenfassung: | We have developed a system built on our mobile AR platform that provides users with see-through vision, allowing visualization of occluded objects textured with real-time video information. We present a user study that evaluates the user’s ability to view this information and understand the appearance of an outdoor area occluded by a building while using a mobile AR computer. This understanding was compared against a second group of users who watched video footage of the same outdoor area on a regular computer monitor. The comparison found an increased accuracy in locating specific points from the scene for the outdoor AR participants. The outdoor participants also displayed more accurate results, and showed better speed improvement than the indoor group when viewing more than one video simultaneously. |
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| DOI: | 10.1109/ISMAR.2008.4637327 |