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Dynamik: Syntactically-Driven Dynamic Font Sizing for Emphasis of Key Information

arXiv 2504.09734 ↗First posted 13 Apr 2025cs.HC cs.AIcited by 0

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Abstract (arXiv)

In today's globalized world, there are increasing opportunities for individuals to communicate using a common non-native language (lingua franca). Non-native speakers often have opportunities to listen to foreign languages, but may not comprehend them as fully as native speakers do. To aid real-time comprehension, live transcription of subtitles is frequently used in everyday life (e.g., during Zoom conversations, watching YouTube videos, or on social networking sites). However, simultaneously reading subtitles while listening can increase cognitive load. In this study, we propose Dynamik, a system that reduces cognitive load during reading by decreasing the size of less important words and enlarging important ones, thereby enhancing sentence contrast. Our results indicate that Dynamik can reduce certain aspects of cognitive load, specifically, participants' perceived performance and effort among individuals with low proficiency in English, as well as enhance the users' sense of comprehension, especially among people with low English ability. We further discuss our methods' applicability to other languages and potential improvements and further research directions.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 103 references that are in the map. First posted on arXiv 13 Apr 2025.

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References · 3

  1. 2018Unsupervised Keyphrase Extraction with Multipartite Graphscited by 50
  2. 2022PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extractioncited by 19
  3. 2021What Do We Mean by "Accessibility Research"? A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019cited by 14

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