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.
|Title of host publication||Proceedings of the 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017)|
|Number of pages||6|
|Publication status||Published - 2018|
|Name||International Series on Information Systems and Management in Creative eMedia|
|Publisher||International Ambient Media Association |