Work in Progress

THERIF: Themes for Readability from Iterative Feedback

Authors:

Aleena Gertrudes Niklaus,

Michael Kraley,

Zoya BylinskiiAuthors Info & Claims

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 279, Pages 1 - 11

https://doi.org/10.1145/3544549.3585679

Published: 19 April 2023 Publication History

Abstract

Digital reading applications give readers the ability to customize fonts, sizes, and spacings, all of which have been shown to improve the reading experience for readers from different demographics. However, tweaking these text features can be challenging, especially given their interactions on the final look and feel of the text. Our solution is to offer readers preset combinations of font, character, word and line spacing, which we bundle together into reading themes. To arrive at a recommended set of reading themes, we combine crowdsourced text adjustments, ML-driven clustering of the resulting text formats, and design sessions. After four iterations of these steps, we converge on a set of three COR (Compact, Open, and Relaxed) themes that are designed for different readers.

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Cited By

Cai TNiklaus AKerr BKraley MBylinskii Z(2023)Preferred Reading Formats for Mobile Devices: Results from Readability StudiesProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608706(1-9)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1145/3565066.3608706

Index Terms

THERIF: Themes for Readability from Iterative Feedback
1. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Unsupervised learning
        Cluster analysis
2. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)
    1. Interactive systems and tools

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cover image ACM Conferences

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

3914 pages

ISBN:9781450394222

DOI:10.1145/3544549

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Albrecht Schmidt
LMU Munich, Germany
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Kaisa Väänänen
Tampere University, Finland
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Tesh Goyal
Google Research, USA
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Per Ola Kristensson
University of Cambridge, UK
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Anicia Peters
University of Namibia, Namibia

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Cai TNiklaus AKerr BKraley MBylinskii Z(2023)Preferred Reading Formats for Mobile Devices: Results from Readability StudiesProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608706(1-9)Online publication date: 26-Sep-2023
https://dl.acm.org/doi/10.1145/3565066.3608706

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