Abstract
Self-localization is the behavior of pedestrians when they are disoriented in wayfinding. The widely used AR (augmented reality) navigation technology makes people understanding their location more intuitively. The signals that can be used for self-localization include landmarks, road names, direction guidance, etc., but these elements cannot all be added on a limited size screen. This paper using eye tracking technology to conduct an experiment, aims at exploring the relationship between different augmented information combinations and pedestrian self-localization efficiency and success rate in augmented scenes. Results show that direction guidance is the easiest information to understand, landmark is an important factor in increasing pedestrian safety, and road name has very low help for self-localization and can even increase people’s cognitive burden.
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Acknowledgement
The research was supported in part by the National Natural Science Foundation of China (Grants 41771473, 41231171) and National key R&D plan (Grant 2017YFC1405302).
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Yang, F., Fang, Z., Guan, F. (2020). What Do We Actually Need During Self-localization in an Augmented Environment?. In: Di Martino, S., Fang, Z., Li, KJ. (eds) Web and Wireless Geographical Information Systems. W2GIS 2020. Lecture Notes in Computer Science(), vol 12473. Springer, Cham. https://doi.org/10.1007/978-3-030-60952-8_3
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DOI: https://doi.org/10.1007/978-3-030-60952-8_3
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