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Watching inside the Screen: Digital Activity Monitoring for Task Recognition and Proactive Information Retrieval

Published: 11 September 2017 Publication History

Abstract

We investigate to what extent it is possible to infer a user’s work tasks by digital activity monitoring and use the task models for proactive information retrieval. Ten participants volunteered for the study, in which their computer screen was monitored and related logs were recorded for 14 days. Corresponding diary entries were collected to provide ground truth to the task detection method. We report two experiments using this data. The unsupervised task detection experiment was conducted to detect tasks using unsupervised topic modeling. The results show an average task detection accuracy of more than 70% by using rich screen monitoring data. The single-trial task detection and retrieval experiment utilized unseen user inputs in order to detect related work tasks and retrieve task-relevant information on-line. We report an average task detection accuracy of 95%, and the corresponding model-based document retrieval with Normalized Discounted Cumulative Gain of 98%. We discuss and provide insights regarding the types of digital tasks occurring in the data, the accuracy of task detection on different task types, and the role of using different data input such as application names, extracted keywords, and bag-of-words representations in the task detection process. We also discuss the implications of our results for ubiquitous user modeling and privacy.

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Cited By

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  • (2024)Recall for Good: Flexible Retrospective Mobile In-App Topic Tracking in a Privacy-Friendly Local-First ApproachProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3703382(451-453)Online publication date: 1-Dec-2024
  • (2024)ScreenSense: Screen Activity Detection in Real-World Environments with Indoor Light SensorsProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3698167(22-32)Online publication date: 29-Oct-2024
  • (2024)Naturalistic Digital Behavior Predicts Cognitive AbilitiesACM Transactions on Computer-Human Interaction10.1145/366034131:3(1-32)Online publication date: 7-May-2024
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  1. Watching inside the Screen: Digital Activity Monitoring for Task Recognition and Proactive Information Retrieval

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    cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 3
    September 2017
    2023 pages
    EISSN:2474-9567
    DOI:10.1145/3139486
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 11 September 2017
    Accepted: 01 July 2017
    Revised: 01 May 2017
    Received: 01 February 2017
    Published in IMWUT Volume 1, Issue 3

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    Author Tags

    1. Activity recognition
    2. digital activity monitoring
    3. screen scraping
    4. task detection
    5. user modeling

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    Cited By

    View all
    • (2024)Recall for Good: Flexible Retrospective Mobile In-App Topic Tracking in a Privacy-Friendly Local-First ApproachProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3703382(451-453)Online publication date: 1-Dec-2024
    • (2024)ScreenSense: Screen Activity Detection in Real-World Environments with Indoor Light SensorsProceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3671127.3698167(22-32)Online publication date: 29-Oct-2024
    • (2024)Naturalistic Digital Behavior Predicts Cognitive AbilitiesACM Transactions on Computer-Human Interaction10.1145/366034131:3(1-32)Online publication date: 7-May-2024
    • (2024)Entity Footprinting: Modeling Contextual User States via Digital Activity MonitoringACM Transactions on Interactive Intelligent Systems10.1145/364389314:2(1-27)Online publication date: 5-Feb-2024
    • (2024)Following Topics Across All Apps and Media Formats: Mobile Keyword Tracking as a Privacy-Friendly Data Source in Mobile Media ResearchAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3664879(126-131)Online publication date: 27-Jun-2024
    • (2024)ContextMate: a context-aware smart agent for efficient data analysisCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-023-00144-76:3(199-227)Online publication date: 16-Apr-2024
    • (2024)Data Collection of Real-Life Knowledge Work in Context: The RLKWiC DatasetInformation Management10.1007/978-3-031-64359-0_22(277-290)Online publication date: 18-Jul-2024
    • (2022)E-government information search by English-as-a Second Language speakers: The effects of language proficiency and document reading levelInformation Processing & Management10.1016/j.ipm.2022.10298559:4(102985)Online publication date: Jul-2022
    • (2021)Task estimation for software company employees based on computer interaction logsEmpirical Software Engineering10.1007/s10664-021-10006-426:5Online publication date: 13-Jul-2021
    • (2019)Can I record your screen?Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3365618(1-10)Online publication date: 26-Nov-2019
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