Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55092
Title: Capturing Movement: A Tablet App, Geometry Touch, for Recording Onscreen Finger-based Gesture Data
Contributor(s): Sepp, Stoo  (author)orcid ; Tindall-Ford, Sharon (creator); Agostinho, Shirley (author); Paas, Fred (author)
Publication Date: 2023-02-20
Early Online Version: 2023
DOI: 10.1109/TLT.2023.3246507
Handle Link: https://hdl.handle.net/1959.11/55092
Abstract: This paper presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purposes of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning and problem-solving in educational settings, data related to the performance of these gestures is increasingly of interest to researchers. Most educational research methods exploring the use of hand gestures rely on in-person data collection, whether through direct observation, or video recording of participants' behaviour for later analysis. These methods, while effective for observing gross movements, may not provide researchers with detailed insights into how learners interact with learning materials. Using custom tools to record touchscreen engagement on tablet computing devices can address this limitation, while also providing the means to visually represent touch-based interactions with these devices. Geometry Touch is an iPad app developed and tested by the primary author as part of a pilot study. The research study, theoretically grounded in Cognitive Load Theory, demonstrated that Geometry Touch could efficiently collect data on touchscreen interactions, while also providing potential avenues to quantify touchscreen interactions through computational means. The purpose of this paper is to report on the development and testing of this app, while providing an explanation of how it was used as a method of data collection by leveraging touchscreen technology. The paper concludes by discussing how this digital method of capturing movement can provide further insight into how finger-based gestures can influence learning and as such, could increase the reach of gesture-based research.
Publication Type: Journal Article
Source of Publication: IEEE Transactions on Learning Technologies, v.17, p. 73-83
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
ISSN: 1939-1382
2372-0050
Fields of Research (FoR) 2020: 520102 Educational psychology
520403 Learning, motivation and emotion
Socio-Economic Objective (SEO) 2020: 280109 Expanding knowledge in education
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Education

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