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UI-CAT: calculating user interface complexity metrics for mobile applications

Authors:

Andreas Riegler,

Clemens HolzmannAuthors Info & Claims

MUM '15: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia

Pages 390 - 394

https://doi.org/10.1145/2836041.2841214

Published: 30 November 2015 Publication History

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Abstract

Currently, there is a lack of possibilities to quantify the complexity of mobile user interfaces with metrics. User studies for evaluating the user experience are costly and time consuming, but there are no tools available to automate this process. A tool for automatically calculating complexity metrics would make user interfaces quantifiable and thus allow for easily comparing different versions of an application or different apps among each other. We started developing a service for the Android OS to calculate user interface complexity metrics. In this paper, we present our approach and describe how the Android service is implemented.

References

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Khalid Alemerien and Kenneth Magel. 2014. GUIEvaluator: A Metric-tool for Evaluating the Complexity of Graphical User Interfaces. In The 26th International Conference on Software Engineering and Knowledge Engineering, Hyatt Regency, Vancouver, BC, Canada, July 1-3, 2013. 13--18.

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Izzat Alsmadi and Mohammed Al-Kabi. 2011. GUI structural metrics. Int. Arab J. Inf. Technol. 8, 2 (2011), 124--129.

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Xiaoxiao Ma, Bo Yan, Guanling Chen, Chunhui Zhang, Ke Huang, Jill L. Drury, and Linzhang Wang. 2013. Design and Implementation of a Toolkit for Usability Testing of Mobile Apps. MONET 18, 1 (2013), 81--97.

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George Stepanek. 2012. Software Projects Secrets: Why Projects Fail (1st ed.). Apress, Berkely, CA, USA.

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Cited By

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Brie PBurny NVanderdonckt J(2023)VisionAPI: An API for Offline and Online Segmentation and Identification of Hand-Sketched Graphical User InterfacesCompanion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3596454.3597184(59-67)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3596454.3597184
Corral LFronza IMikkonen T(2021)User Interface Matters: Analysing the Complexity of Mobile Applications from a Visual PerspectiveProcedia Computer Science10.1016/j.procs.2021.07.039191(9-16)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.07.039
Akça ETanriöver Ö(2021)A comprehensive appraisal of perceptual visual complexity analysis methods in GUI designDisplays10.1016/j.displa.2021.10203169(102031)Online publication date: Sep-2021
https://doi.org/10.1016/j.displa.2021.102031
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UI-CAT: calculating user interface complexity metrics for mobile applications

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Published In

MUM '15: Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia

November 2015

442 pages

ISBN:9781450336055

DOI:10.1145/2836041

General Chairs:
Clemens Holzmann
University of Applied Sciences Upper Austria, Hagenberg, Austria
,
René Mayrhofer
Johannes Kepler University Linz, Linz, Austria
,
Program Chairs:
Jonna Häkkilä
University of Lapland
,
Enrico Rukzio
University of Ulm
,
Publications Chair:
Michael Roland
University of Applied Sciences Upper Austria

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 November 2015

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Austrian Research Promotion Agency (FFG)

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MUM '15

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FH OOE
Johannes Kepler Univ Linz

MUM '15: 14th International Conference on Mobile and Ubiquitous Multimedia

November 30 - December 2, 2015

Linz, Austria

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MUM '15 Paper Acceptance Rate 33 of 89 submissions, 37%;

Overall Acceptance Rate 190 of 465 submissions, 41%

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Brie PBurny NVanderdonckt J(2023)VisionAPI: An API for Offline and Online Segmentation and Identification of Hand-Sketched Graphical User InterfacesCompanion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/3596454.3597184(59-67)Online publication date: 27-Jun-2023
https://dl.acm.org/doi/10.1145/3596454.3597184
Corral LFronza IMikkonen T(2021)User Interface Matters: Analysing the Complexity of Mobile Applications from a Visual PerspectiveProcedia Computer Science10.1016/j.procs.2021.07.039191(9-16)Online publication date: 2021
https://doi.org/10.1016/j.procs.2021.07.039
Akça ETanriöver Ö(2021)A comprehensive appraisal of perceptual visual complexity analysis methods in GUI designDisplays10.1016/j.displa.2021.10203169(102031)Online publication date: Sep-2021
https://doi.org/10.1016/j.displa.2021.102031
Lee CKim SHan DYang HPark YKwon BKo SBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted FeedbackProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376327(1-13)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376327
Riegler AWintersberger PRiener AHolzmann C(2019)Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Drivingi-com10.1515/icom-2018-003318:2(127-149)Online publication date: 3-Aug-2019
https://doi.org/10.1515/icom-2018-0033
Riegler AWintersberger PRiener AHolzmann C(2018)Investigating User Preferences for Windshield Displays in Automated VehiclesProceedings of the 7th ACM International Symposium on Pervasive Displays10.1145/3205873.3205885(1-7)Online publication date: 6-Jun-2018
https://dl.acm.org/doi/10.1145/3205873.3205885
Holzmann CSteiner DRiegler AGrossauer CHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)An android toolkit for supporting field studies on mobile devicesProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3157814(473-479)Online publication date: 26-Nov-2017
https://dl.acm.org/doi/10.1145/3152832.3157814

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