Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
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EnglishExploration of points of interest (POI) in urban environments is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration.
Jacucci, G., Andolina, S., Kalkhofen, D., Schmalstieg, D., Nurminen, A., Spagnolli, A., et al. (2017). Combining intelligent recommendation and mixed reality in itineraries for urban exploration. In K. Zhu, A. Lugmayr, & X. Ma (a cura di), Proceedings of the 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017) (pp. 18-23). P.O. Box 541, Korkeakoulunkatu 8 : International Ambient Media Association (iAMEA).
| Data di pubblicazione: | 2017 | |
| Titolo: | Combining intelligent recommendation and mixed reality in itineraries for urban exploration | |
| Autori: | ||
| Citazione: | Jacucci, G., Andolina, S., Kalkhofen, D., Schmalstieg, D., Nurminen, A., Spagnolli, A., et al. (2017). Combining intelligent recommendation and mixed reality in itineraries for urban exploration. In K. Zhu, A. Lugmayr, & X. Ma (a cura di), Proceedings of the 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017) (pp. 18-23). P.O. Box 541, Korkeakoulunkatu 8 : International Ambient Media Association (iAMEA). | |
| Abstract: | Exploration of points of interest (POI) in urban environments is challenging for the large amount of items near or reachable by the user and for the modality hindrances due to reduced manual flexibility and competing visual attention. We propose to combine different modalities, VR, AR, haptics-audio interfaces, with intelligent recommendation based on a computational method combining different data graph overlays: social, personal and search-time user input. We integrate such features in flexible itineraries that aid different phases and aspects of exploration. | |
| ISBN: | 978-952-7023-17-4 | |
| Settore Scientifico Disciplinare: | Settore INF/01 - Informatica Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni | |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| [2017][SAME Workshop] Combining Intelligent Recommendation and Mixed Reality in Itineraries for Urban Exploration.pdf | Versione Editoriale | Open Access Visualizza/Apri |
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