A Comparative Study on the Performance of GSCA and CSA in Parameter Recovery for Structural Equation Models With Ordinal Observed Variables

Jung, Kwanghee; Panko, Pavel; Lee, Jae‐Hoon; Hwang, Heungsun

doi:10.3389/fpsyg.2018.02461

Cited by 15 publications

(13 citation statements)

References 32 publications

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“…A web-based software for generalized structure component analysis [41] was used for hypothesis testing as well as complementary analyses (e.g., internal consistencies, correlations). The generalized structured component analysis (GSCA) [42] is an approach to component-based structure equation modeling (SEM) and works well with a small sample size, without rigid distributional assumptions (e.g., normality assumption) [43].…”

Section: Intention To Usementioning

confidence: 99%

PalmitoAR: The Last Battle of the U.S. Civil War Reenacted Using Augmented Reality

Jung

Nguyen

Yoo

et al. 2020

IJGI

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Various efforts are used to preserve American history including relying on formal education, distributing information (text, video or visual aids) on social channels, displaying artifacts in historical centers or more recently, virtual reality applications posted on a shared medium. However, many of the newly developed applications are designed specifically for dedicated hardware rather than for a broad audience, thus creating a barrier for disseminating cultural values. In this paper, we propose a web-based Augmented Reality (AR) application, namely PalmitoAR, which provides an intuitive way of observing one of the most significant historical Civil War battlefields, Palmito Ranch Battlefield located in Cameron County, Texas. The proposed AR application is designed to resurrect a series of events through (i) a printed map of Palmito Ranch with embedded markers that enables viewers to experience the battle without being present at the site, (ii) a mobile device with a WebGL supported browser that allows 3D contents to be rendered, and (iii) an AR library (A-Frame.io) that enables enthusiasts to recreate similar work. Our methodology strongly relies on the benefits of a simple, robust algorithm for AR marker recognition to position 3D models in a specific context and time. As a result, the proposed AR application is complementary to existing work and provides a seamless experience for a wide range of viewers. We evaluated and improved the application with the help of twenty-six users to gather perspectives on the specific benefits of employing AR in learning about battlefields and reenactment. The technology acceptance model was adapted to access an individual’s acceptance of information technology.

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Section: Intention To Usementioning

confidence: 99%

PalmitoAR: The Last Battle of the U.S. Civil War Reenacted Using Augmented Reality

Jung

Nguyen

Yoo

et al. 2020

IJGI

Self Cite

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“…A majority of the participants was Asian (59.09%), 27.27% were Caucasian, 12.82% were American Indian/Alaska Native, 4.55% were Hispanic, and 1.52% were African American/Black. Generalized structured component analysis (GSCA) [39,40] was used for evaluating our proposed research model due to its flexibility to work with a small sample size without requiring rigid normal distribution [41,42]. GSCA is a component-based approach to structural equation modeling, which enables to evaluate the measurement model for the associations between the TAM constructs and their indicators/items (i.e., loadings, reliability), as well as the structural model for the directional relationship among the TAM constructs (i.e., research hypotheses).…”

Section: Data Collection and Analysismentioning

confidence: 99%

BlocklyAR: A Visual Programming Interface for Creating Augmented Reality Experiences

2020

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State-of-the-art tools for creating augmented reality (AR) applications often depend on a specific programming language and the deployed target devices. The typing syntax of a program is error-prone, and device dependency makes it difficult to share newly created AR applications. This paper presents BlocklyAR, a novel web-based visual programming interface for creating and generating an AR application. This tool is intended for non-programmers (young learners and enthusiasts) who are interested in making an AR application. The goals of this tool are: (1) to help young learners and enthusiasts express their programming ideas without memorizing syntax, (2) to enable users to perceive their expressions, (3) to enable learners to generate an AR application with minimal effort, and (4) to support users by allowing them to share newly created AR applications with others. BlocklyAR uses Blockly for creating a palette of commands and AR.js for transcribing commands into AR experience. The applicability of BlocklyAR was demonstrated through a use case where an existing AR application was recreated by using our tool. The result showed that our tool could yield an equivalent product. We evaluated the visual tool with the help of 66 users to gather perspectives on the specific benefits of employing BlocklyAR in producing an AR application. The technology acceptance model was adapted to assess an individual’s acceptance of information technology.

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“…Generalized structured component analysis (GSCA) [56][57][58] was conducted to evaluate the proposed research model. GSCA is an approach to component-based structural equation modeling and works well with a small sample size without requiring rigid distributional assumptions such as multivariate normality [59][60][61]. Web-based software for GSCA was used for the analysis, available online at [62].…”

Section: Perceived Visual Designmentioning

confidence: 99%

BlocklyXR: An Interactive Extended Reality Toolkit for Digital Storytelling

Jung

Nguyen²,

Lee

2021

Applied Sciences

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Traditional in-app virtual reality (VR)/augmented reality (AR) applications pose a challenge of reaching users due to their dependency on operating systems (Android, iOS). Besides, it is difficult for general users to create their own VR/AR applications and foster their creative ideas without advanced programming skills. This paper addresses these issues by proposing an interactive extended reality toolkit, named BlocklyXR. The objective of this research is to provide general users with a visual programming environment to build an extended reality application for digital storytelling. The contextual design was generated from real-world map data retrieved from Mapbox GL. ThreeJS was used for setting up, rendering 3D environments, and controlling animations. A block-based programming approach was adapted to let users design their own story. The capability of BlocklyXR was illustrated with a use case where users were able to replicate the existing PalmitoAR utilizing the block-based authoring toolkit with fewer efforts in programming. The technology acceptance model was used to evaluate the adoption and use of the interactive extended reality toolkit. The findings showed that visual design and task technology fit had significantly positive effects on user motivation factors (perceived ease of use and perceived usefulness). In turn, perceived usefulness had statistically significant and positive effects on intention to use, while there was no significant impact of perceived ease of use on intention to use. Study implications and future research directions are discussed.

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A Comparative Study on the Performance of GSCA and CSA in Parameter Recovery for Structural Equation Models With Ordinal Observed Variables

Cited by 15 publications

References 32 publications

PalmitoAR: The Last Battle of the U.S. Civil War Reenacted Using Augmented Reality

PalmitoAR: The Last Battle of the U.S. Civil War Reenacted Using Augmented Reality

BlocklyAR: A Visual Programming Interface for Creating Augmented Reality Experiences

BlocklyXR: An Interactive Extended Reality Toolkit for Digital Storytelling

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