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Context-sensitive app prediction on the suggestion bar of a mobile keyboard

Authors:

Ahmed Sabbir ArifAuthors Info & Claims

MUM '19: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia

Article No.: 45, Pages 1 - 5

https://doi.org/10.1145/3365610.3368414

Published: 26 November 2019 Publication History

Abstract

This work augments context-sensitive app prediction feature to the suggestion bar of a mobile virtual keyboard to accommodate fast and easy information acquisition and sharing in textual conversations. The purpose is to eliminate the need for switching between apps while typing. A user study revealed that the proposed method improves performance both in terms of speed and effort for common tasks, such as playing a song or finding and sharing the address of a restaurant. Post-study questionnaire revealed that all participants found the method fast, easy, and likely to facilitate more engaging and meaningful textual conversations. All wanted to keep using it on their mobile devices.

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Cited By

Lee LBraud THosio SHui P(2021)Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future ChallengesACM Computing Surveys10.1145/346796354:8(1-38)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1145/3467963
Pandey LArif A(2020)Enabling Text Translation Using the Suggestion Bar of a Virtual Keyboard2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9282879(4352-4357)Online publication date: 11-Oct-2020
https://doi.org/10.1109/SMC42975.2020.9282879

Index Terms

Context-sensitive app prediction on the suggestion bar of a mobile keyboard
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
    2. Interaction techniques
      1. Text input
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design

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Published In

cover image ACM Other conferences

MUM '19: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia

November 2019

462 pages

ISBN:9781450376242

DOI:10.1145/3365610

General Chair:
Fabio Paternò
CNR-ISTI, Italy
,
Program Chairs:
Giulio Jacucci
University of Helsinki, Finland
,
Michael Rohs
University of Hannover, Germany
,
Carmen Santoro
CNR-ISTI, Italy

Copyright © 2019 Owner/Author.

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: 26 November 2019

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MUM 2019

MUM 2019: 18th International Conference on Mobile and Ubiquitous Multimedia

November 26 - 29, 2019

Pisa, Italy

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Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

Lee LBraud THosio SHui P(2021)Towards Augmented Reality Driven Human-City Interaction: Current Research on Mobile Headsets and Future ChallengesACM Computing Surveys10.1145/346796354:8(1-38)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1145/3467963
Pandey LArif A(2020)Enabling Text Translation Using the Suggestion Bar of a Virtual Keyboard2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9282879(4352-4357)Online publication date: 11-Oct-2020
https://doi.org/10.1109/SMC42975.2020.9282879

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