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Poster: Improving Communication and Communicability with Smarter Use of Text-based Messages on Mobile and Wearable devices

Published: 25 June 2016 Publication History

Abstract

While smartphones have undoubtedly afforded many modern conveniences such as emails, instant messaging or web search, the notifications from smartphones conversely impact our lives through a deluge of information, or stress arising from expectations that we should turn our immediate attention to them (e.g., work emails). In my latest research, we find that the glanceability of smartwatches may provide an opportunity to reduce the perceived disruption from mobile notifications. Text is a common medium for communication in smart devices, the application of natural language processing on text, together with the physical affordances of smartwatches, present exciting opportunities for research to improve communication between people.

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  1. Poster: Improving Communication and Communicability with Smarter Use of Text-based Messages on Mobile and Wearable devices

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      Published In

      cover image ACM Conferences
      MobiSys '16 Companion: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Companion
      June 2016
      172 pages
      ISBN:9781450344166
      DOI:10.1145/2938559
      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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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 25 June 2016

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      Author Tags

      1. communication
      2. mobile computing
      3. natural language processing
      4. wearable computing

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      • Poster

      Funding Sources

      • National Research Foundation Prime Minister's Office
      • Singapore Ministry of Education Academic Research Fund Tier 2

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      MobiSys'16
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      Overall Acceptance Rate 274 of 1,679 submissions, 16%

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