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Does Dynamically Drawn Text Improve Learning? Investigating the Effect of Text Presentation Styles in Video Learning

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Dynamically drawn content (e.g., handwritten text) in learning videos is believed to improve users' engagement and learning over static powerpoint-based ones. However, evidence from existing literature is inconclusive. With the emergence of Optical Head-Mounted Displays (OHMDs), recent work has shown that video learning can be adapted for on-the-go scenarios. To better understand the role of dynamic drawing, we decoupled dynamically drawn text into two factors (font style and motion of appearance) and studied their impact on learning performance under two usage scenarios (while seated with desktop and walking with OHMD). We found that although letter-traced text was more engaging for some users, most preferred learning with typeface text that displayed the entire word at once and achieved better recall (46.7% higher), regardless of the usage scenarios. Insights learned from the studies can better inform designers on how to present text in videos for ubiquitous access. © 2022 Copyright held by the owner/author(s).
Original languageEnglish
Title of host publicationCHI’22
Subtitle of host publicationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Print)9781450391573
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 CHI Conference on Human Factors in Computing Systems (CHI 2022) - Hybrid, New Orleans, United States
Duration: 30 Apr 2022 → 5 May 2022
https://chi2022.acm.org/
https://dl.acm.org/doi/proceedings/10.1145/3491102

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2022 CHI Conference on Human Factors in Computing Systems (CHI 2022)
Abbreviated titleCHI’22
PlaceUnited States
CityNew Orleans
Period30/04/22 → 5/05/22
Internet address

Research Keywords

  • Dynamic drawing
  • Heads-up computing
  • Mobile HCI
  • OHMD
  • Smart-glasses
  • Text presentation styles
  • Video learning

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