2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) 2018
DOI: 10.1109/ismar-adjunct.2018.00059
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Look Inside: Understanding Thermal Flux Through Augmented Reality

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Cited by 19 publications
(11 citation statements)
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“…Of these, motivation represents a challenge for educators that is being addressed with AR applications. Previously there were abstract concepts (such as magnetic fields) that were difficult to explain to students (Solmaz et al 2021;Shiba & Imai 2020;Knierim, Kiss & Schmidt 2018) generating frustration and other negative emotions that affected the knowledge transfer process (Kaur, Mantri & Horan 2020). For this reason, the visualization of 3D elements in AR have been proven to be an excellent form of motivation, which inspires students to carry out their activities (Di Serio, Ibáñez & Kloos 2013;Ibáñez et al 2020;Liono et al 2021).…”
Section: Researchers' Focus: Student Motivationmentioning
confidence: 99%
“…Of these, motivation represents a challenge for educators that is being addressed with AR applications. Previously there were abstract concepts (such as magnetic fields) that were difficult to explain to students (Solmaz et al 2021;Shiba & Imai 2020;Knierim, Kiss & Schmidt 2018) generating frustration and other negative emotions that affected the knowledge transfer process (Kaur, Mantri & Horan 2020). For this reason, the visualization of 3D elements in AR have been proven to be an excellent form of motivation, which inspires students to carry out their activities (Di Serio, Ibáñez & Kloos 2013;Ibáñez et al 2020;Liono et al 2021).…”
Section: Researchers' Focus: Student Motivationmentioning
confidence: 99%
“…As we explained in our related work section, there is little reference on how to design the AR content for an educational curriculum, as most classroom implementations were done using an empirical approach and typically focused on how to integrate AR into the classroom, rather than how to customize the AR content itself. Thus, we decided to approach the design with an emergent coding approach (Blair, 2015), in which we clustered the types of microskills we could recognize in AR: (1) Perceptual, which refers to the time specific knowledge designed to attract the attention of the user and deliver visual information (Hoffmann et al, 2008;Kishishita et al, 2014;Lee et al, 2019;Rusch et al, 2013;Schwerdtfeger & Klinker, 2008;Steinberger et al, 2011;Volmer et al, 2018;Waldner et al, 2014); (2) Cognitive, which refers to the time specific knowledge to generate and collect information from the users' working memory (Beheshti et al, 2017;Cai et al, 2014;Chan et al, 2013;Kapp et al, 2019;Knierim et al, 2018;Prilla, 2019;Strzys et al, 2017); (3) Motor, which refers to the time specific knowledge to properly perform an operation or process (Bhattacharya & Winer, 2019;Eckhoff et al, 2018;Gavish et al, 2015;Mohr et al, 2017;Wang et al, 2016;Webel et al, 2013;Westerfield et al, 2015). In Table 1, we go into further detail on the educational purposes for each type of microskill and guides on how to translate it into AR in terms of content design.…”
Section: Design Microskills In An Ar Environmentmentioning
confidence: 99%
“…utilizing multiple output modes in VR [113]. Extrasensory experiences, [90,201] (such as making temperature visible through infrared cameras) has also been explored [179].…”
Section: Multimodal Interactionmentioning
confidence: 99%