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abstract

Ubiquitous Mobile Sensing: Behaviour, Mood, and Environment

Published: 08 October 2018 Publication History

Abstract

Our world is increasingly interconnected via a wide variety of computers, IoT, wearable and mobile devices. The information provided collectively through these devices offers insightful information on our everyday lives, daily patterns, mood, behaviour, and surrounding environment. Our workshop brings together researchers interested in collecting and augmenting context to understand device specific behaviour and routines, human behaviour and mood, and changes in the environment. The outcomes of this workshop are new tools, methodologies, and potential collaborations for sensing the outlying world as well as ourselves.

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Cited By

View all
  • (2023)An Exploration of Hidden Data: Identifying and Physicalizing Personal Virtual Data to Extend Co-located CommunicationProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627788(210-224)Online publication date: 3-Dec-2023
  • (2022)Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human LearningFrontiers in Artificial Intelligence10.3389/frai.2021.7131764Online publication date: 12-Jan-2022
  • (2022)Design Implications for One-Way Text Messaging Services that Support Psychological WellbeingACM Transactions on Computer-Human Interaction10.1145/356988830:3(1-29)Online publication date: 1-Nov-2022
  • Show More Cited By

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    Published In

    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    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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    New York, NY, United States

    Publication History

    Published: 08 October 2018

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    Author Tags

    1. Context-aware
    2. Experiments
    3. Instrumentation
    4. Middleware
    5. Mobile Sensing
    6. Mood Sensing
    7. Ubiquitous Computing
    8. User studies

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    • Refereed limited

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2023)An Exploration of Hidden Data: Identifying and Physicalizing Personal Virtual Data to Extend Co-located CommunicationProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627788(210-224)Online publication date: 3-Dec-2023
    • (2022)Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human LearningFrontiers in Artificial Intelligence10.3389/frai.2021.7131764Online publication date: 12-Jan-2022
    • (2022)Design Implications for One-Way Text Messaging Services that Support Psychological WellbeingACM Transactions on Computer-Human Interaction10.1145/356988830:3(1-29)Online publication date: 1-Nov-2022
    • (2020)Attentional Multi-graph Convolutional Network for Regional Economy Prediction with Open Migration DataProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3394486.3403273(2225-2233)Online publication date: 23-Aug-2020
    • (2019)Better Accessibility Research for the Future (Keynote)Proceedings of the 16th International Web for All Conference10.1145/3315002.3332430(1-4)Online publication date: 13-May-2019

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