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To Type or to Speak?: The Effect of Input Modality on Text Understanding During Note-taking

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To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-taking. / Khan, Anam Ahmad; Nawaz, Sadia; Newn, Joshua et al.
CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York: ACM, 2022. p. 164:1-164:15 164 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Khan, AA, Nawaz, S, Newn, J, Kelly, RM, Lodge, JM, Bailey, J & Velloso, E 2022, To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-taking. in CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems., 164, Conference on Human Factors in Computing Systems - Proceedings, ACM, New York, pp. 164:1-164:15, CHI '22: 2022 CHI Conference on Human Factors in Computing Systems, New Orleans, Louisiana, United States, 29/04/22. https://doi.org/10.1145/3491102.3501974

APA

Khan, A. A., Nawaz, S., Newn, J., Kelly, R. M., Lodge, J. M., Bailey, J., & Velloso, E. (2022). To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-taking. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 164:1-164:15). Article 164 (Conference on Human Factors in Computing Systems - Proceedings). ACM. https://doi.org/10.1145/3491102.3501974

Vancouver

Khan AA, Nawaz S, Newn J, Kelly RM, Lodge JM, Bailey J et al. To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-taking. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York: ACM. 2022. p. 164:1-164:15. 164. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/3491102.3501974

Author

Khan, Anam Ahmad ; Nawaz, Sadia ; Newn, Joshua et al. / To Type or to Speak? The Effect of Input Modality on Text Understanding During Note-taking. CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York : ACM, 2022. pp. 164:1-164:15 (Conference on Human Factors in Computing Systems - Proceedings).

Bibtex

@inproceedings{6d515314f7114452b3b2987032ab8ead,
title = "To Type or to Speak?: The Effect of Input Modality on Text Understanding During Note-taking",
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.",
author = "Khan, {Anam Ahmad} and Sadia Nawaz and Joshua Newn and Kelly, {Ryan M.} and Lodge, {Jason M.} and James Bailey and Eduardo Velloso",
year = "2022",
month = apr,
day = "29",
doi = "10.1145/3491102.3501974",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "ACM",
pages = "164:1--164:15",
booktitle = "CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
note = "CHI '22: 2022 CHI Conference on Human Factors in Computing Systems ; Conference date: 29-04-2022 Through 05-05-2022",
url = "https://chi2022.acm.org/",

}

RIS

TY - GEN

T1 - To Type or to Speak?

T2 - CHI '22: 2022 CHI Conference on Human Factors in Computing Systems

AU - Khan, Anam Ahmad

AU - Nawaz, Sadia

AU - Newn, Joshua

AU - Kelly, Ryan M.

AU - Lodge, Jason M.

AU - Bailey, James

AU - Velloso, Eduardo

PY - 2022/4/29

Y1 - 2022/4/29

N2 - 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.

AB - 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.

U2 - 10.1145/3491102.3501974

DO - 10.1145/3491102.3501974

M3 - Conference contribution/Paper

T3 - Conference on Human Factors in Computing Systems - Proceedings

SP - 164:1-164:15

BT - CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 29 April 2022 through 5 May 2022

ER -