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Variation in importance of time-on-task with familiarity with mobile phone models

Published: 07 May 2011 Publication History

Abstract

We studied the extent to which time-on-task is correlated with perception of usability for people who are familiar with a phone model and for those who are not. Our controlled experiment, conducted in Japan, correlated subjective usability assessments with time-on-task for expert and novice users on three different mobile phone models. We found that the correlation between perceived usability and time-on-task is stronger when participants are more familiar with the phone model. While not significant when initially inspecting a new phone model, a negative correlation between time-on-task and perceived usability becomes significant with as little as an hour's time doing tasks on the unfamiliar phone. This suggests that designing the UI to make time-on-task as short as possible may not have much effect on the purchase decision, but as experience increases, it may increase the loyalty of existing users.

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Cited By

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  • (2024)Usability Testing of Mobile Applications: A Methodological FrameworkApplied Sciences10.3390/app1405179214:5(1792)Online publication date: 22-Feb-2024
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  • (2016)Modeling How to Understand a Target SystemProceedings, Part I, of the 18th International Conference on Human-Computer Interaction. Theory, Design, Development and Practice - Volume 973110.1007/978-3-319-39510-4_21(220-232)Online publication date: 17-Jul-2016
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    cover image ACM Conferences
    CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2011
    3530 pages
    ISBN:9781450302289
    DOI:10.1145/1978942
    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: 07 May 2011

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    Author Tags

    1. expertise
    2. mobile phone
    3. time on task
    4. usability metrics

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    CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2024)Usability Testing of Mobile Applications: A Methodological FrameworkApplied Sciences10.3390/app1405179214:5(1792)Online publication date: 22-Feb-2024
    • (2022)Hey, Siri®! Ok, Google®! Does Talking to Voice Assistants Enhance Emotional Aspects of Mobile Phone User Experience?Proceedings of Mensch und Computer 202210.1145/3543758.3547544(382-388)Online publication date: 4-Sep-2022
    • (2016)Modeling How to Understand a Target SystemProceedings, Part I, of the 18th International Conference on Human-Computer Interaction. Theory, Design, Development and Practice - Volume 973110.1007/978-3-319-39510-4_21(220-232)Online publication date: 17-Jul-2016
    • (2014)A user study on tailoring GUIs for smartphonesProceedings of the 29th Annual ACM Symposium on Applied Computing10.1145/2554850.2555085(186-192)Online publication date: 24-Mar-2014
    • (2013)Does size matter?Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services10.1145/2493190.2493204(127-136)Online publication date: 27-Aug-2013
    • (2013)A User Study with GUIs Tailored for Smartphones and Tablet PCsProceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics10.1109/SMC.2013.635(3727-3732)Online publication date: 13-Oct-2013
    • (2013)A User Study with GUIs Tailored for SmartphonesHuman-Computer Interaction – INTERACT 201310.1007/978-3-642-40480-1_34(505-512)Online publication date: 2013
    • (2012)Um estudo experimental de avaliação da experiência dos usuários de aplicativos móveis a partir da captura automática dos dados contextuais e de interaçãoProceedings of the 11th Brazilian Symposium on Human Factors in Computing Systems10.5555/2393536.2393582(305-314)Online publication date: 5-Nov-2012

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