Abstract | ||
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In recent years, most of mobile phones have a function of pedestrian navigation guidance. It was reported that users sometimes feel anxiety because of low accuracy of the position estimation especially in urban area and delay of information updating. In order to reduce the anxiety, a route planning algorithm is proposed in this study, which weighs user's difficulty (or easiness) of locating own current position as well as total physical distance of courses. The difficulty is estimated by valuation functions based on the "recognizability" and "visibility" of landmarks. An experimental study conducted in real situation using a prototype system to examine and refine the model for the optimal route planning. As the result, a modified model is proposed as a promising method of route planning for user's easy wayfinding. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-39265-8_17 | HCI (3) |
Keywords | Field | DocType |
optimal route planning,easy wayfinding,low accuracy,own current position,route planning algorithm,route planning,pedestrian navigation method,mobile phone,experimental study,position estimation,modified model,cognitive model,salience,anxiety,visibility | Visibility,Route planning,Computer science,Navigation system,Pedestrian navigation,Human–computer interaction,Cognitive model,Salience (language),Landmark,Valuation (finance) | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hiroshi Furukawa | 1 | 211 | 31.32 |
Yutaka Nakamura | 2 | 0 | 0.34 |