Novel Augmented Reality Enhanced Solution towards Vocational Training for People with Mental Disabilities

Chiam, Brian Soon Wei; Leung, Ivy Mun Wah; Devilly, Oran Zane; Ow, Clemen; Guan, Yunqing; Tan, Bhing Leet

doi:10.1109/ismar-adjunct54149.2021.00047

Cited by 4 publications

(3 citation statements)

References 31 publications

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“…et al [39] Tailoring, feedback, reward, 23 Sundari A.M.A et al [40] Tailoring, simulation 24 Chiam B.S.I. et al [41] Reduction 25 Oberdörfer S. et al [42] Tunneling 26 Huang H.-M. et al [43] Tunneling, Self-monitoring 27 Velaora M. et al [44] Simulation, feedback 28 Avila-Pesantez D. et al [45] Simulation, tailoring, feedback 29 Thongchum K. et al [46] None 30 Tang J.K.T. et al [47] None 31 Deng X. et al [48] None 32 Rodriguez-Vizzuett L. et al Feedback 37 Černý F. et al [54] Motivation, Feedback 38 Murrell S. et al [55] None 39 Kouzi M.E.…”

Section: Id Authormentioning

confidence: 99%

Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning

Nasirudin,

Md Fudzee,

Senan

et al. 2024

JOIV : Int. J. Inform. Visualization

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Augmented Reality (AR) is an innovative technology that has gained significant scholarly attention. It uses computer-generated sensory inputs like visuals, sounds, and touch to enhance how we perceive the real world, providing a transformative impact on human sensory experiences. Motivated by the possibilities of augmented reality (AR) in the realm of the educational learning environment, this research aims to document the evolving landscape of augmented reality (AR) applications in education and training, with a specific emphasis on the incorporation of persuasive system design (PSD) elements. The study also explores the diverse technologies and methodologies for developing these applications. A systematic literature review was conducted, analyzing 44 articles following the protocol for PRISMA assessments. Four research questions were formulated to investigate trends in AR applications. Between 2016 and 2023, publications on AR applications doubled, with a significant focus on the educational field. Marker-based AR methods dominated (68.49%), while markerless methods constituted 31.51%. Unity and Vuforia were the most used platforms, accounting for 77.27% of applications. Most research papers assessed application effectiveness subjectively through custom-made questionnaires. University students were identified as the primary target users of AR applications. Only a few applications integrated persuasive elements, even for adult users. This highlights the need for further studies to fully grasp the possibilities of combining persuasive system design with augmented reality applications in education

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Section: Id Authormentioning

confidence: 99%

Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning

Nasirudin,

Md Fudzee,

Senan

et al. 2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

show abstract

“…Early interpretations of augmented reality (Barfield & Rosenberg, 1995) suggest that the location is either experienced directly in its physical form or provided virtually through a head-mounted display that is computer-generated or reconstructed from data captured from a real location (Hollerer, Feiner, & Pavlik, 1999;Du et al, 2019). The physical location may be the focus of the experience (Richardson, 2016, Schneider et al, 2017; for example, where a specific city is the setting of an AR experience played out at defined locations, or workplace training (Chiam et al, 2021). Alternatively, the location can just be a canvas representing context for overlaid content providing information, media, or virtual structures and objects (Guven, 2006;Hollerer, Feiner, & Pavlik, 1999;Spohrer, 1999).…”

Section: Figure 2 Defining Locationmentioning

confidence: 99%

“…Teaching abstract concepts is common, involving developing empathy and social norms (J. J. Lee et al, 2013), learning to use AR in lesson design (Czerkawski & Berti, 2021) or learning properties of the physical environment through virtual scenarios while dealing with abstraction in the form of social interactions (Chiam et al, 2021). Concepts can be explored using problem-solving, discovery, experimentation, or through mini-emergent elements (Richardson, 2016;Xu et al, 2016).…”

Section: Figure 5 Defining Conceptsmentioning

confidence: 99%

A Classification Schema for Designing Augmented Reality Experiences

Bangay

McKenzie

2022

InSITE Conference

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Aim/Purpose: Designing augmented reality (AR) experiences for education, health or entertainment involves multidisciplinary teams making design decisions across several areas. The goal of this paper is to present a classification schema that describes the design choices when constructing an AR interactive experience. Background: Existing extended reality schema often focuses on single dimensions of an AR experience, with limited attention to design choices. These schemata, combined with an analysis of a diverse range of AR applications, form the basis for the schema synthesized in this paper. Methodology: An extensive literature review and scoring of existing classifications were completed to enable a definition of seven design dimensions. To validate the design dimensions, the literature was mapped to the seven-design choice to represent opportunities when designing AR iterative experiences. Contribution: The classification scheme of seven dimensions can be applied to communicating design considerations and alternative design scenarios where teams of domain specialists need to collaborate to build AR experiences for a defined purpose. Findings: The dimensions of nature of reality, location (setting), feedback, objects, concepts explored, participant presence and interactive agency, and style describe features common to most AR experiences. Classification within each dimension facilitates ideation for novel experiences and proximity to neighbours recommends feasible implementation strategies. Recommendations for Practitioners: To support professionals, this paper presents a comprehensive classification schema and design rationale for AR. When designing an AR experience, the schema serves as a design template and is intended to ensure comprehensive discussion and decision making across the spectrum of design choices. Recommendations for Researchers: The classification schema presents a standardized and complete framework for the review of literature and AR applications that other researchers will benefit from to more readily identify relevant related work. Impact on Society: The potential of AR has not been fully realized. The classification scheme presented in this paper provides opportunities to deliberately design and evaluate novel forms of AR experience. Future Research: The classification schema can be extended to include explicit support for the design of virtual and extended reality applications.

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Challenges and Advancements for AR Optical See-Through Near-Eye Displays: A Review

Xia

Guan

Cai

et al. 2022

Front. Virtual Real.

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Optical see-through near-eye display (NED) technologies for augmented reality (AR) have achieved significant advancements recently with investments from both academia and industry. Although various AR NED products have been successfully commercialized and even deployed into applications, there are still challenges with present AR NED technologies (e.g., limited eyebox, fixed focus, bulky form factors). In this review, we present a brief overview of leading AR NED technologies and then focus on the state-of-the-art research works to counter the respective key challenges with each of the leading AR NED technologies. We also introduce a number of emerging technologies that are worthy of close study.

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Novel Augmented Reality Enhanced Solution towards Vocational Training for People with Mental Disabilities

Cited by 4 publications

References 31 publications

Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning

Systematic Literature Review on Augmented Reality with Persuasive System Design: Application and Design in Education and Learning

A Classification Schema for Designing Augmented Reality Experiences

Challenges and Advancements for AR Optical See-Through Near-Eye Displays: A Review

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