Siginterface: A personalized Interface for intelligent services

Woo Jong Ryu, Hyeontaek Oh, Sang-Geun Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present sigInterface, a personalized interface, which provides intelligent services based on user interests across smart devices (i.e., smartphones, smart TVs, or smart cars). sigInterface understands user interests from the usage data inside a smart device. It enables the device or connected devices to provide intelligent services. Note that sigInterface works in a privacy-protecting manner without sending out usage data to the service provider's server. We implement an intelligent service using sigInterface to confirm its feasibility.

Original languageEnglish
Title of host publicationUbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery, Inc
Pages185-188
Number of pages4
ISBN (Electronic)9781450351904
DOIs
Publication statusPublished - 2017 Sep 11
Event2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 - Maui, United States
Duration: 2017 Sep 112017 Sep 15

Other

Other2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017
CountryUnited States
CityMaui
Period17/9/1117/9/15

Keywords

  • Intelligent service
  • Personalized interface
  • Tiny text intelligence

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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  • Cite this

    Ryu, W. J., Oh, H., & Lee, S-G. (2017). Siginterface: A personalized Interface for intelligent services. In UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 185-188). Association for Computing Machinery, Inc. https://doi.org/10.1145/3123024.3123137