To type or to speak? The effect of input modality on text understanding during note-taking

Anam Ahmad Khan, Sadia Nawaz, Joshua Newn, Ryan M. Kelly, Jason M. Lodge, James Bailey, Eduardo Velloso

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

Though recent technological advances have enabled note-taking through different modalities (e.g., keyboard, digital ink, voice), there is still a lack of understanding of the effect of the modality choice on learning. In this paper, we compared two note-taking input modalities - keyboard and voice - to study their effects on participants' understanding of learning content. We conducted a study with 60 participants in which they were asked to take notes using voice or keyboard on two independent digital text passages while also making a judgment about their performance on an upcoming test. We built mixed-effects models to examine the effect of the note-taking modality on learners' text comprehension, the content of notes and their meta-comprehension judgement. Our findings suggest that taking notes using voice leads to a higher conceptual understanding of the text when compared to typing the notes. We also found that using voice triggers generative processes that result in learners taking more elaborate and comprehensive notes. The findings of the study imply that note-taking tools designed for digital learning environments could incorporate voice as an input modality to promote effective note-taking and higher conceptual understanding of the text.

Original languageEnglish
Title of host publicationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems
EditorsSteven Drucker, Julie Williamson, Koji Yatani
Place of PublicationNew York NJ USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages15
ISBN (Electronic)9781450391573
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2022 - New Orleans, United States of America
Duration: 29 Apr 20225 May 2022
Conference number: 40th
https://dl.acm.org/doi/proceedings/10.1145/3491102 (ACM Digital Library - proceedings)
https://chi2022.acm.org/ (Website)
https://dl.acm.org/doi/proceedings/10.1145/3491101 (Extended Abstracts)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2022
Abbreviated titleCHI 2022
Country/TerritoryUnited States of America
CityNew Orleans
Period29/04/225/05/22
Internet address

Keywords

  • Digital learning
  • Input Modality
  • Note-taking tools
  • Voice notes

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