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Modus Operandi: The Implications from Redesigning Moded Experiments in Multitouch User Interfaces

Published: 25 June 2019 Publication History

Abstract

Evaluation of moded interaction techniques is essential in determining the optimal strategy to switch between the modes of a user interface. Performance can be evaluated when each technique is used to complete a given set of changing mode sequences. However, there have been limited variations in the patterns adopted by past studies, because all of their mode sequences were consistently presented in chunks of only 5 tasks at a time. Our study addresses the identified gap by expanding the chunk size by at least 10 times and diversifying the independent variables (i.e. patterns). Although we found that Persist outperforms User-Maintained Interaction technique overall, patterns with a clear presence of dominating mode are ideal for the latter (and supported locking feature) to thrive. Our findings show how an experimental modification can augment the existing understanding of moded interaction.

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    Interacción '19: Proceedings of the XX International Conference on Human Computer Interaction
    June 2019
    296 pages
    ISBN:9781450371766
    DOI:10.1145/3335595
    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 the author(s) 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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    New York, NY, United States

    Publication History

    Published: 25 June 2019

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    Author Tags

    1. Experiment design
    2. mode-switching
    3. moded interaction
    4. touch-based

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    Interacción '19 Paper Acceptance Rate 62 of 90 submissions, 69%;
    Overall Acceptance Rate 109 of 163 submissions, 67%

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