Investigating Smartphones and AR Glasses for Pedestrian Navigation and their Effects in Spatial Knowledge Acquisition
| Autor: | Pavlos Nicolaou, Christophe Kolski, Sophie Lepreux, Christos Efstratiou, Aymen Lakehal |
|---|---|
| Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France) |
| Rok vydání: | 2020 |
| Předmět: |
QA75
050101 languages & linguistics Landmark Cognitive map Rapid expansion Computer science Path following 05 social sciences 02 engineering and technology Spatial knowledge Pedestrian navigation Human–computer interaction Path (graph theory) 0202 electrical engineering electronic engineering information engineering [INFO]Computer Science [cs] 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences QA76.9.H85 Protocol (object-oriented programming) |
| Zdroj: | MobileHCI (Extended Abstracts) MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, Oct 2020, Oldenburg, Germany. pp.1-7, ⟨10.1145/3406324.3410722⟩ |
| DOI: | 10.1145/3406324.3410722 |
| Popis: | International audience; Abstract–Moving in a complex and changing environment (rapid expansion of cities, creation of new transport lines, etc.) requires more and more capacity for path determination and following. This paper presents a protocol of a user study under progress. Its aim is to compare an application on AR Glasses and Smartphone to help pedestrians to memorize path following recommended landmarks. |
| Databáze: | OpenAIRE |
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