Learn with Haptics: Improving Vocabulary Recall with Free-form Digital Annotation on Touchscreen Mobiles

要旨

Mobile vocabulary learning interfaces typically present material only in auditory and visual channels, underutilizing the haptic modality. We explored haptic-integrated learning by adding free-form digital annotation to mobile vocabulary learning interfaces. Through a series of pilot studies, we identified three design factors: annotation mode, presentation sequence, and vibrotactile feedback, that influence recall in haptic-integrated vocabulary interfaces. These factors were then evaluated in a within-subject comparative study using a digital flashcard interface as baseline. Results using a 84-item vocabulary showed that the 'whole word' annotation mode is highly effective, yielding a 24.21% increase in immediate recall scores and a 30.36% increase in the 7-day delayed scores. Effects of presentation sequence and vibrotactile feedback were more transient; they affected the results of immediate tests, but not the delayed tests. We discuss the implications of these factors for designing future mobile learning applications.

キーワード
Motoric engagement
Mobile vocabulary learning
Haptics for learning
Multimodal learning
Intersensory reinforced learning
著者
Smitha Sheshadri
National University of Singapore, Singapore, Singapore
Shengdong Zhao
National University of Singapore, Singapore, Singapore
Yang Chen
National University of Singapore & Zhejiang University, Hangzhou, Zhejiang, China
Morten Fjeld
Chalmers University of Technology & University of Bergen, Gothenburg, Sweden
DOI

10.1145/3313831.3376272

論文URL

https://doi.org/10.1145/3313831.3376272

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: LeARning "en VRac"

Paper session
310 Lili U Theater
5 件の発表
2020-04-29 01:00:00
2020-04-29 02:15:00
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