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ENGAGE: Early Insights in Measuring Multi-Device Engagements

Published: 10 June 2015 Publication History

Abstract

Users are increasingly accessing content through a complex device eco-system involving both public and private screens. Traditional research into display eco-systems has focused on developing new multi-screen applications and on techniques for understanding how interactions and activities such as shopping flow across screens and devices. There has been relatively little research into the more fundamental question of how users actually engage with multiple screens and in particular how levels of engagement can be systematically monitored. In this paper we describe our early experiences with ENGAGE -- a toolkit designed to help researchers explore user engagement across multiple devices.

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Cited By

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  • (2019)Cross-Device TaxonomyProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300792(1-28)Online publication date: 2-May-2019
  • (2015)Repurposing Web Analytics to Support the IoTComputer10.1109/MC.2015.26048:9(42-49)Online publication date: 22-Sep-2015

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    cover image ACM Conferences
    PerDis '15: Proceedings of the 4th International Symposium on Pervasive Displays
    June 2015
    268 pages
    ISBN:9781450336086
    DOI:10.1145/2757710
    • General Chairs:
    • Sven Gehring,
    • Antonio Krüger,
    • Program Chairs:
    • Florian Alt,
    • Nick Taylor
    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: 10 June 2015

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    Author Tags

    1. audience tracking
    2. multi-device applications
    3. multi-device engagement

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    PerDis '15 Paper Acceptance Rate 30 of 55 submissions, 55%;
    Overall Acceptance Rate 213 of 384 submissions, 55%

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    Cited By

    View all
    • (2019)Cross-Device TaxonomyProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300792(1-28)Online publication date: 2-May-2019
    • (2015)Repurposing Web Analytics to Support the IoTComputer10.1109/MC.2015.26048:9(42-49)Online publication date: 22-Sep-2015

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