EVALUATING AUGMENTED REALITY MAPS: A USER-CENTERED THEORETICAL FRAMEWORK

Extended-Reality Technologies: An Overview of Emerging Applications in Medical Education and Clinical Care.

ABSTRACTCreativity in designing an artwork develops in the usage of augmented reality as a media of interactive design. The usage of augmented reality is now also supported by social media platforms such as Instagram which brings augmented reality to it filter feature. Unlimited augmented reality designs created by internal developers, but can also be user generated content through the Spark AR application. This design is utilized by New Media College as an institution to increase brand awareness by using face mask augmented reality feature owned by Spark AR. This study aims to show the work process, as well as the results obtained from the design and publication of an augmented reality-based Instagram filter with a Spark AR face mask. The method used in this study is qualitative research methods with an intrinsic case study approach with the results of a published filter design that shows the results of user activity over time.Keywords: Augmented Reality, Face Mask, Design, Filter.ABSTRAKKreativitas dalam merancang sebuah karya berkembang pada pemanfaatan augmented reality sebagai sarana desain interaktif. Penggunaan augmented reality kini juga didukung oleh platform media sosial seperti Instagram yang menghadirkan augmented reality pada fitur filter-nya. Rancangan augmented reality yang tidak terbatas diciptakan oleh pengembang internal, namun juga bisa bersifat user generated content melalui aplikasi Spark AR. Rancangan tersebut dimanfaatkan oleh New Media College sebagai lembaga yang berupaya meningkatkan brand awareness dengan memanfaatkan augmented reality dengan memanfaatkan fitur face mask yang dimiliki oleh Spark AR. Penelitian ini bertujuan untuk menunjukkan proses kerja, sekaligus hasil yang didapatkan dari perancangan dan publikasi filter Instagram berbasis augmented reality dengan face mask Spark AR. Metode yang dipergunakan pada penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus intrinsik dengan hasil berupa rancangan filter terpublikasi yang menunjukkan hasil aktivitas pengguna sepanjang waktu.Kata Kunci: Augmented Reality, Face Mask, Desain, Filter.

Augmented Reality is a technique that allows users to overlap digital information with their physical world. The Augmented Reality (AR) displays have an exceptional characteristic from the Human–Computer Interaction (HCI) perspective. Due to its increasing popularity and application in diverse domains, increasing user-friendliness and AR usage are critical. Context-aware is one approach since an AR application can adapt to the user, environment, needs and enhance ergonomic principles and functionality. This paper proposes the Intelligent Contextaware Augmented Reality Model (ICAARM) for Human–Computer Interaction systems. This study explores and reduces interaction uncertainty by semantically modeling user-specific interaction with context, allowing personalised interaction. Sensory information is captured from an AR device to understand user interactions and context. These depictions carry semantics to Augmented Reality applications about the user's intention to interact with a specific device affordance. Thus, this study describes personalised gesture interaction in VR/AR applications for immersive/intelligent environments.

The aim of this programme of research was to build upon prior work regarding the heuristic evaluation of mobile applications in two important areas. A mixed methods approach was taken to address the research questions using questionnaires, semi-structured interviews, document analysis and statistical analyses. The first contribution of this programme of research was to adapt traditional usability heuristics, so they could be used to more effectively evaluate the usability of mobile applications. The resulting set of mobile application usability heuristics uncovered the highest number of usability issues in absolute terms, as well as the most critical issues within a well-known travel mobile application when compared to two other sets of usability heuristics. In addition, the set of mobile application usability heuristics defined within this programme of research was ranked as the most useful set by participants knowledgeable in the field of human-computer interaction when compared to two other sets of usability heuristics. The second contribution of this programme of research was to extend the set of mobile application heuristics allowing human-computer interaction researchers and practitioners to more effectively consider the potential impact of context of use on the usability of mobile applications. This addressed a gap in the literature as few effective methods existed for this purpose. The protocol was deemed easy to use, easy to understand and easy to learn by participants knowledgeable in the field of human-computer interaction. The beneficiaries of this programme of research are human-computer interaction researchers and practitioners, as well as mobile application users.

The immersiveness and usability of augmented reality (AR) systems rely on accurate, temporally stable, and computationally efficient object tracking. Recent advances in deep learning have reshaped visual tracking and enabled increasingly complex AR applications on mobile and edge platforms. As AR progresses toward large-scale consumer and industrial deployment, tracking has become a system-critical perception module that directly affects visual stability, interaction latency, and user trust. This survey reviews deep learning based object tracking for AR from 2018 to 2025, focusing on algorithmic paradigms and system-level constraints. We analyze AR-specific requirements such as tight latency budgets, limited energy, long-term operation, and perceptual stability, and examine four representative paradigms (Siamese networks, deep discriminative correlation filters, Transformer based models, and long-term frameworks) with their design rationales and deployment challenges. We further discuss lightweight architectures, state-space temporal models, and diffusion-based approaches, along with integration strategies involving efficiency optimization, hardware-aware design, 6-DoF pose tracking, SLAM coupling, neural scene representations, and multimodal fusion. Representative datasets and evaluation protocols are analyzed from an AR deployment viewpoint, and open challenges and future research directions are identified. We argue that AR-oriented tracking constitutes a distinct research domain where algorithmic accuracy, perceptual stability, and system efficiency must be jointly optimized to support trustworthy and immersive next-generation AR experiences.

With the rapid growth of Augmented Reality (AR), more research is being conducted to determine how well this technology works in the educational setting. However, a review of the effectiveness of AR in students’ vocabulary learning is scarce despite its importance in sustaining education. Thus, this paper employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to highlight AR technology's potential as an educational tool. Advanced searching has been used through Scopus and Web of Science (WoS) databases, the main platforms for article sources. Based on the search results, we discovered (n = 20) published articles that associated AR in vocabulary teaching and learning were extracted out of (n = 83) from 2018 to 2023. The results suggested the research objectives, methods and tools, participants, and AR applications. Expert scholars decided to develop three themes, which are (1) the usage of AR in vocabulary teaching and learning, (2) the effect of AR-assisted on student’s learning performance, and (3) issues and obstacles. This study also demonstrated that AR technology might be perceived as a platform for personalized learning, which is one of the affordances of this technology. It might improve learning outcomes, particularly in vocabulary acquisition and learning satisfaction. It might also help with the development of linguistic performance. In conclusion, this systematic study aims to add crucial information to the current knowledge, providing valuable insights for educators, researchers, and policymakers, ultimately paving the way for more targeted and impactful AR-assisted vocabulary learning experiences in diverse educational settings.

This paper introduces case studies with different learning scenarios of Arabic language based on human computer interaction principles so that meaningful virtual information is presented for dyslexic children in an interactive and compelling way. The blending of technology and education is something that is growing rapidly and becoming the most popular. Augmented reality is a recent example of a technology that has been combined into the educational field. This work aims to integrate mobile technology and AR method to improve the dyslexic children's academic performance, concentration and short-term memory. The design process includes the following steps: identify the research problem and determines the requirements to overcome dyslexia problems, carefully collect the data from different sources and the collected data will be used to construct the target product based on the prototype methodology. As for the output, it will contribute to improving the learning and basic skills of children with dyslexia.

We propose a novel wearable haptic device that can provide kinesthetic haptic feedback for stiffness rendering of virtual objects in augmented reality (AR). Rendering stiffness of objects using haptic feedback is crucial for realistic finger-based object manipulation, yet challenging particularly in AR due to the co-presence of a real hand, haptic device, and rendered AR objects in the scenes. By adopting passive actuation with a tendon-based transmission mechanism, the proposed haptic device can generate kinesthetic feedback strong enough for immersive manipulation and prevention of inter-penetration in a small-form-factor, while maximizing the wearability and minimizing the occlusion in AR usage. A selective locking module is adopted in the device to allow for the rendering of the elasticity of objects. We perform an experimental study of two-finger grasping to verify the efficacy of the proposed haptic device for finger-based manipulation in AR. We also quantitatively compare/articulate the effects of different types of feedbacks across haptic and visual sense (i.e., kinesthetic haptic feedback, vibrotactile haptic feedback, and visuo-haptic feedback) for stiffness rendering of virtual objects in AR for the first time.

Purpose: This study investigates the transformative role of augmented reality (AR) and virtual reality (VR) technologies in e-commerce and digital marketing. It aims to understand how these immersive technologies enhance consumer experiences by addressing challenges such as product visualization, consumer trust, and engagement while fostering higher purchase intent and customer satisfaction. Design/Method/Approach: A systematic literature review synthesizes findings from empirical and theoretical studies published between 2011 and 2024. The methodologies analyzed include experimental designs, market analyses, and conceptual frameworks assessing the integration of AR and VR technologies in online retail. Findings: The findings indicate that AR enhances online shopping through features such as virtual try-ons and spatial placement visualization, reducing return rates and increasing purchase confidence. VR, on the other hand, provides immersive environments that simulate physical shopping experiences, strengthening consumer-brand connections. While AR demonstrates broader applicability in fostering interactive and personalized experiences, VR remains limited by accessibility and cost constraints. Both technologies exhibit immediate costs but offer long-term benefits, positively influencing conversion rates and customer loyalty. Theoretical Implications: This study contributes to consumer behavior research by applying value perception models, immersive technology frameworks, and engagement metrics to the e-commerce landscape. It refines existing theoretical perspectives on technological adoption by highlighting the interplay between sensory engagement, emotional connection, and consumer decision-making. Practical Implications: The research underscores the strategic importance of integrating AR and VR into digital marketing and e-commerce platforms. It suggests leveraging AR for product categories requiring spatial interaction and using VR for high-detail product exploration. The study provides actionable insights for businesses looking to enhance online shopping experiences through immersive technologies. Originality/Value: This study offers a comprehensive synthesis of AR and VR applications in e-commerce, highlighting their potential to reshape online shopping. By bridging the gap between physical and digital retail experiences, it provides a fresh perspective on how immersive technologies can drive engagement, accessibility, and personalized consumer interactions. Research Limitations/Future Research: While this study synthesizes existing literature, empirical validation through longitudinal studies and cross-industry applications is necessary. Future research should explore the long-term effects of AR and VR adoption on consumer trust, loyalty, and behavioral changes. Additionally, further exploration is encouraged into gamification, artificial intelligence (AI) integration, and demographic-specific implementations to drive sustainable engagement.

The present study aims to explore the perceptions and usage of Augmented Reality (AR) technology among media students in Palestinian universities. A quantitative approach was adopted, and data was gathered from a web-based survey of 237 media students. The Technology Acceptance Model (TAM) was utilized to gauge participants' perceptions of AR, and descriptive statistics were used for analysis. The findings reveal a generally positive perception of AR as a beneficial tool for skill enhancement, with mean scores ranging from 3.70 to 4.04 indicating strong agreement. The study also found moderate to high AR usage among participants, particularly for translating texts using Google Translate, but noted that usage patterns were more individual-oriented. Additionally, 91.1% of respondents attributed the COVID-19 pandemic to increased technology usage in higher education. The novelty of this study lies in providing insights into the perception and application of AR in higher education within the Palestinian context, an under-researched area. The study sheds light on the potential for integrating AR more formally into curricula, which could foster a more engaging and immersive educational experience. However, it also highlights the need to address barriers such as lack of technical support and possible discomfort with technology. Doi: 10.28991/ESJ-2023-SIED2-016 Full Text: PDF

Augmented Reality (AR) technology has been used for a wide range of areas, uncovering diverse benefits regarding to its usage. Focusing on medicine, AR is being used for the last few decades in several different tasks – from surgery support to treatment of phobias and other cognitive or physiological disorders. This study intends to focus on the usage of AR in one specific pathology: the rehabilitation of people that suffer from autism. This systematic review will present an overview of the usage of AR technology, from a patients’ perspective, where strengths and weaknesses of current approaches will be pointed out, to better understand good practices to follow when using AR for autism rehabilitation. The results from this systematic review will provide valuable information for further ideas and solutions regarding to enhance Autism Spectrum Disorder patients’ wellbeing.

This conference paper addresses gaps in scholarship and pedagogy surrounding the phenomenon of “dark patterns” in digital marketing and interface design by showcasing three curriculum-building projects. Dark patterns refer to a set of design strategies that co-opt the human-centred values advocated for in the fields of user experience (UX) design and human-computer interaction (HCI) to manipulate users into taking actions contrary to their personal interests. Recent dark patterns research has clustered within the fields of HCI, media studies, and game studies, with a focus on e-commerce and online gambling platforms. The presented projects put this established research into conversation with scholarship from business and marketing, science and technology studies, cognitive neuroscience, and disability studies to both create a more holistic definition of dark patterns and implement this expanded definition into university course curricula. These include $2 , focused on contextualizing dark patterns within historical market segmentation and merchandising strategies; $2 , on broadening the definition of dark patterns to include non-screen interfaces; and $2 , on analyzing how dark patterns have a disproportionate effect on individuals with certain cognitive disabilities. Collectively, these projects aimed to grant a greater historicity and social context to the phenomenon of dark patterns and introduce them as a utilizable pedagogical concept within the disciplines of communications, technology, and design. The findings of these projects are presented through the sharing of pedagogical materials, informal and formal feedback, and planned curriculum revisions.

Augmented reality(AR) provides a unique viewing experience at museums where people understand abstract history through physical artifacts. Although AR usage in museum settings has been increasing, it is not well understood how AR viewing experience differs in different groups of visitors, which can be problematic considering that museums are places visited by diverse groups of people. In this study, we evaluate the differences in AR experiences according to the characteristics of the visitors. The results show the effect of AR usage in museum settings with visitors’ different age groups and motivations for visiting.

Augmented reality (AR) is a new and emerging technology that could benefit from evaluating its usability to better the user’s experience with the device or application. This is often done through usability testing and heuristic evaluations. However, AR technology presents some challenges when completing these usability evaluations. Practitioners need to keep in mind the hardware limitations of AR devices that may not be present with other computerized technology, consistency of the users’ environment plays a larger role in the AR experience, recognize that a novelty effect may occur and affect subjective scores, and choose heuristic sets that will best evaluate AR applications. Practitioners need to be aware of these challenges and overcome them to accurately assess the usability of these products to gain insights about what should be changed to make the overall experience with the product better.

Reality check