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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th International Workshop on Semantic Ambient Media Experiences (SAME 2017) |
| Subtitle of host publication | Artificial Intelligence Meets Virtual and Augmented Worlds (AIVR) |
| Publisher | International Ambient Media Association (iAMEA) |
| Pages | 18-23 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781510800168 |
| Publication status | Published - 2017 |
| MoE publication type | A4 Conference publication |
| Event | International Workshop on Semantic Ambient Media Experiences: Artificial Intelligence Meets Virtual and Augmented Worlds - Bangkok, Thailand Duration: 27 Nov 2017 → 27 Nov 2017 Conference number: 10 |
Publication series
| Name | International series on information systems and management in creative eMedia |
|---|---|
| Publisher | LugYmedia |
| Number | 2 |
| Volume | 2017 |
| ISSN (Print) | 2341-5584 |
| ISSN (Electronic) | 2341-5576 |
Workshop
| Workshop | International Workshop on Semantic Ambient Media Experiences |
|---|---|
| Abbreviated title | SAME |
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 27/11/2017 → 27/11/2017 |
Funding
This work was partially funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement No 601139 (CultAR).
Keywords
- Augmented Reality
- Intelligent recommendation
- Multimodal Interaction
- Urban Exploration
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