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MAGIC-Pointing on Large High-Resolution Displays

Published: 07 May 2016 Publication History

Abstract

Display space in offices constantly increased in the last decades. We believe that this trend will continue and ultimately result in the use of wall-sized displays in the future office. One of the most challenging tasks while interacting with large high-resolution displays is target acquisition. The most important challenges reported in previous work are the long distances that need to be traveled with the pointer while still enabling precise selection as well as seeking for the pointer on the large display. In this paper, we investigate if MAGIC-Pointing, controlling the pointer through eye gaze, can help overcome both challenges. We implemented MAGIC-Pointing for a 2.85m x 1.13m large display. Using this system we conducted a target selection study. The results show that using MAGIC-Pointing for selecting targets on wall-sized displays decreases the task completion time significantly and it also decreases the users' task load. We therefore argue that MAGIC-Pointing can help to make interaction with wall-sized displays usable.

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    cover image ACM Conferences
    CHI EA '16: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2016
    3954 pages
    ISBN:9781450340823
    DOI:10.1145/2851581
    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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    Publication History

    Published: 07 May 2016

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    Author Tags

    1. eye-tracking
    2. large high-resolution display
    3. magic-pointing
    4. wall-sized display

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    • European Community H2020

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    CHI'16: CHI Conference on Human Factors in Computing Systems
    May 7 - 12, 2016
    California, San Jose, USA

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    CHI EA '16 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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