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- Elmqvist, Niklas, 1977, et al.
(författare)
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3DVN: A Mixed Reality Platform for Mobile Navigation Assistance
- 2006
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- We present 3DVN, a Mixed Reality platform for navigation assistance in indoor environments. Built on top of a PC-based wearable computer running the Windows operating system, the platform provides a multimodal user interface for navigating in existing physical buildings, including wireless networking, data glove gestural input, voice communication, head-mounted display, and a 3DOF head tracker. Local positioning is performed using a software-only positioning engine making use of WLAN features for accurately pinpointing the mobile device in three dimensions. The 3DVN system has been implemented as a proof-of-concept of a navigation guidance support device for visitors, and has been field-tested with human subjects in the student center of our university. Informal evaluation of subject ratings indicate a strong interest for the new system, both for guests as well as people familiar with the campus and the building.
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| 2. |
- Elmqvist, Niklas, 1977, et al.
(författare)
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3DVN: A Mixed Reality Platform for Mobile Navigation Assistance
- 2007
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Ingår i: ACM CHI2007 Workshop on Mobile Spatial Interaction. ; , s. 1-4
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Konferensbidrag (refereegranskat)abstract
- We present 3DVN, a Mixed Reality platform for navigation assistance in indoor environments. Built on top of a PC-based wearable computer running the Windows operating system, the platform provides a multimodal user interface to navigate existing physical buildings, including wireless networking, data glove gestural input, voice communication, head-mounted display, and a 3DOF head tracker. Local positioning is performed using a software-only WLAN-based engine to accurately pinpoint the mobile device in three dimensions. We use this system as a platform for a simple theoretical framework for classifying interaction for mobile navigation assistance. Informal qualitative evaluation of our system seems to conform to predictions derived from our framework and shows the need for a rich set of interaction components for successful mobile navigation.
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