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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kiefer, Peter Giannopoulos, Ioannis Raubal, Martin |
| Abstract | Pedestrian navigation systems help us make a series of decisions that lead us to a destination. Most current pedestrian navigation systems communicate using map-based turn-by-turn instructions. This interaction mode suffers from ambiguity, its user's ability to match the instruction with the environment, and it requires a redirection of visual attention from the environment to the screen. In this paper we present GazeNav, a novel gaze-based approach for pedestrian navigation. GazeNav communicates the route to take based on the user's gaze at a decision point. We evaluate GazeNav against the map-based turn-by-turn instructions. Based on an experiment conducted in a virtual environment with 32 participants we found a significantly improved user experience of GazeNav, compared to map-based instructions, and showed the effectiveness of GazeNav as well as evidence for better local spatial learning. We provide a complete comparison of navigation efficiency and effectiveness between the two approaches. |
| Starting Page | 337 |
| Ending Page | 346 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450336529 |
| DOI | 10.1145/2785830.2785873 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-08-24 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Pedestrian navigation Gaze-based interaction Eye tracking Wayfinding |
| Content Type | Text |
| Resource Type | Article |
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