Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/22606| Title: | Improving Interactions with Spatial Context-aware Services | Authors: | SAMSONOV, Pavel | Issue Date: | 2016 | Publisher: | ACM | Source: | Companion Publication of the 21st International Conference on Intelligent User Interfaces, ACM,p. 114-117 | Abstract: | We have seen a recent rise of context- as well as location-based-mobile services. Finally, those services entering applications and adding features to mobile operating system to make everyday user interactions handier. Nevertheless, those services still have certain limitations, such as lack of certain data types that limit them to exploit their full potentials. My research is situated in the area of human-computer interaction with strong links to the field of intelligent user interfaces and aims to improve interactions with spatial context-aware services by combining methods from computer vision and artificial intelligence. | Keywords: | context-aware applications; location-based services; geospatial Information; GeoHCI; space usage rules; scenic routes | Document URI: | http://hdl.handle.net/1942/22606 | ISBN: | 9781450341400 | DOI: | 10.1145/2876456.2876459 | Rights: | Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. Copyright is held by the owner/author(s). | Category: | C1 | Type: | Proceedings Paper |
| Appears in Collections: | Research publications |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| p114-samsonov.pdf Restricted Access | Published version | 596.36 kB | Adobe PDF | View/Open Request a copy |
Page view(s)
48
checked on Sep 7, 2022
Download(s)
40
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.