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- Volume 28, Issue 1, 2023
Information Design Journal - Volume 28, Issue 1, 2023
Volume 28, Issue 1, 2023
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Beyond Intuition
Author(s): Dian Li and Stephen Westlandpp.: 7–32 (26)More LessAbstractThere are situations where designs involve bilingual content. In such cases, to convey clear and consistent messages, we need to select typefaces in two languages. Traditionally, designers relied on their intuition and experience when selecting typefaces. This study, however, uses analytical research to explore the possibility of using data to inform designs and to make appropriate typeface selections in bilingual contexts. It collects and analyses participants’ responses toward sample typefaces and uses them to choose typefaces in two languages simultaneously, English and Chinese. This method is shown to be effective; it breaks language barriers and explores an original and efficient approach to typeface selection.
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Language independent optimization of text readability formulas with deep reinforcement learning
Author(s): Arya Hadizadeh Moghaddam and Masood Ghayoomipp.: 33–52 (20)More LessAbstractReadability formulas are used to assess the level of difficulty of a text. These language dependent formulas are introduced with pre-defined parameters. Deep reinforcement learning models can be used for parameter optimization. In this article we argue that an Actor-Critic based model can be used to optimize the parameters in the readability formulas. Furthermore, a selection model is proposed for selecting the most suitable formula to assess the readability of the input text. English and Persian data sets are used for both training and testing. The experimental results of the parameter optimization model show that, on average, the F-score of the model for English increases from 24.7% in the baseline to 38.8%, and for Persian from 23.5% to 47.7%. The proposed algorithm selection model further improves the parameter optimization model to 65.5% based on F-score for both English and Persian.
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Type does matter!
Author(s): Pascale Schmid, Guido Carim jr., David Sargent and Dominique Fallapp.: 53–92 (40)More LessAbstractElectronic documentation is gaining importance in aviation and medicine. However, the literature on typographic conventions is rather scattered. Therefore, this systematic literature review examined the landscape of literature addressing typography in electronic documentation in aviation and medicine. The research examined the presence of typographic considerations, level of depth, choice of medium and documentation examples. The results demonstrate that out of 65 publications, 35 address typography in varying depth and often rely on inherited misconceptions. Typographic conventions are transferred from physical to electronic mediums without questioning and remain undervalued. These findings highlight the need for improved legibility in electronic documentation.
Volumes & issues
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Volume 29 (2024)
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Volume 28 (2023)
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Volume 27 (2022)
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Volume 26 (2021)
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Volume 25 (2019)
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Volume 24 (2018)
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Volume 23 (2017)
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Volume 22 (2016)
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Volume 21 (2014)
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Volume 20 (2013)
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Volume 19 (2011)
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Volume 18 (2010)
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Volume 17 (2009)
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Volume 16 (2008)
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Volume 15 (2007)
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Volume 14 (2006)
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Volume 13 (2005)
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Volume 12 (2004)
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Volume 11 (2002)
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Volume 10 (2000)
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Volume 9 (1998)
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Volume 8 (1995)
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Volume 7 (1993)
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Volume 6 (1990)
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Volume 5 (1986)
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Volume 4 (1984)
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Volume 3 (1982)
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Volume 2 (1981)
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Volume 1 (1979)
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