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Identifying Suitable Icon Button for Museum Application Interface Using Online Card Sorting Method

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Advances in Visual Informatics (IVIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11870))

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Abstract

A good interface is made up of components that allow users to readily comprehend the conceptual model and know what interacting on an interface is like. There are many graphical components in an interface to help user interacts which include icon buttons. The countless number and range of icon buttons comes with a need to define the most appropriate set for the interface of museum implementation. This paper presents a card sorting method that uses feedback from users to obtain an efficient classification of possible navigation structure icon buttons. It interprets the exploratory analysis of a histogram matrix related to the final categories of cards used in the study. It focuses on the details of making a decision about the final categories and associated labels. It also helps in making an informed judgment when multiple interpretations of data are possible. The study findings suggest that “play, pause and stop”, “speaker”, and “video”, the icon representation on the buttons could be a set of potential signifier for a museum interface.

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Acknowledgements

We would like to thank all participants who took part in this study. This research has received financial support from Universiti Teknologi PETRONAS, and Ministry of Higher Education, Malaysia.

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Correspondence to Fasihah Mohammad Shuhaili .

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Mohammad Shuhaili, F., Sulaiman, S., Rambli, D.R.A., Mahamad, S. (2019). Identifying Suitable Icon Button for Museum Application Interface Using Online Card Sorting Method. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_56

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  • DOI: https://doi.org/10.1007/978-3-030-34032-2_56

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34031-5

  • Online ISBN: 978-3-030-34032-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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