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abstract

Improving Interactions with Spatial Context-aware Services

Published: 07 March 2016 Publication History

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.

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Cited By

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  • (2022)Introduction to Intelligent User Interfaces (IUIs)Software Usability10.5772/intechopen.97789Online publication date: 2-Feb-2022
  • (2018)Recording Maybe?Proceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243102(53-60)Online publication date: 16-Oct-2018

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  1. Improving Interactions with Spatial Context-aware Services

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    cover image ACM Conferences
    IUI '16 Companion: Companion Publication of the 21st International Conference on Intelligent User Interfaces
    March 2016
    446 pages
    ISBN:9781450341400
    DOI:10.1145/2876456
    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.

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    Publication History

    Published: 07 March 2016

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    Author Tags

    1. context-aware applications
    2. geohci
    3. geospatial information
    4. location-based services
    5. scenic routes
    6. space usage rules

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    • Google Research Faculty Award
    • Hasselt University - tUL - iMinds

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    IUI '16 Companion Paper Acceptance Rate 49 of 194 submissions, 25%;
    Overall Acceptance Rate 746 of 2,811 submissions, 27%

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    View all
    • (2022)Introduction to Intelligent User Interfaces (IUIs)Software Usability10.5772/intechopen.97789Online publication date: 2-Feb-2022
    • (2018)Recording Maybe?Proceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243102(53-60)Online publication date: 16-Oct-2018

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