Towards a Better Understanding of Museum Visitors' Behavior through Indoor Trajectory Analysis
| Autor: | Kontarinis, A., Marinica, C., Vodislav, D., Karine Zeitouni, Krebs, A., Kotzinos, D. |
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| Přispěvatelé: | Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Parallélisme, Réseaux, Systèmes, Modélisation (PRISM), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Musée du Louvre, Multimedia Indexation and Data Integration (MIDI), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Kontarinis, Alexandros |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
[SHS.MUSEO] Humanities and Social Sciences/Cultural heritage and museology
Trajectory Mining [INFO.INFO-GL]Computer Science [cs]/General Literature [cs.GL] Movement Patterns Museum Experience [INFO.INFO-GL] Computer Science [cs]/General Literature [cs.GL] Mobility Patterns Indoor Trajectories [SHS.MUSEO]Humanities and Social Sciences/Cultural heritage and museology |
| Zdroj: | Digital Presentation and Preservation of Cultural and Scientific Heritage Seventh International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP2017) Seventh International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage (DiPP2017), Sep 2017, Burgas, Bulgaria. pp.19-30 Scopus-Elsevier |
| Popis: | International audience; Nowadays, electronic museum guides have evolved to a point that can act as navigational and informational devices in the museum context; thus they also enable the collection of large volumes of spatiotemporal visitor movement data, from which individual visitor trajectories can be extracted and analyzed. These trajectories have individual characteristics expressed through unique semantics in each museum context (based on the museum, its exhibits and its visitors) and they are restricted in an indoor environment that provides additional constraints. This work presents the benefits, the challenges, and a direction for studying museum visitor movements through context-aware indoor trajectory modeling, mining and analysis. |
| Databáze: | OpenAIRE |
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