TY - JOUR
T1 - Combining intelligent recommendation and mixed reality in itineraries for urban exploration
AU - Jacucci, Giulio
AU - Andolina, Salvatore
AU - Kalkofen, Denis
AU - Schmalstieg, Dieter
AU - Nurminen, Antti
AU - Spagnolli, Anna
AU - Gamberini, Luciano
AU - Ruotsalo, Tuukka
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Intelligent recommendation
KW - Augmented Reality
KW - Urban Exploration
KW - Multimodal Interaction
UR - http://www.scopus.com/inward/record.url?scp=85045221949&partnerID=8YFLogxK
M3 - Article
VL - 2017
SP - 18
EP - 23
JO - International Series on Information Systems and Management in Creative eMedia
JF - International Series on Information Systems and Management in Creative eMedia
IS - 2
ER -