An Augmented Reality ecosystem for learning environment

Saritha, Raghavaraju Chola; Mankad, Utkarsh; Venkataswamy, G; Bapu, S Bindhumadhava

doi:10.1109/ants.2018.8710093

“…E-learning can involve synchronous (real-time) or asynchronous (self-paced) interactions between learners and instructors or content. It is not limited to a specific device and can be accessed through different technologies [41] [42]. The use of mobile phones has increased rapidly in everyday life.…”

Section: ) Electronic Learning (E-learning)mentioning

confidence: 99%

“…It goes beyond just using smartphones and includes a wider range of technologies such as sensors, RFID (Radio-Frequency Identification) tags, and smart environments. U-learning aims to integrate learning into everyday activities and surroundings, blurring the boundaries between formal and informal learning [41]. Lin et al [45] proposed an interactive ARbased picture E-book to study the life cycle of insects for kindergarten students.…”

Section: ) Electronic Learning (E-learning)mentioning

confidence: 99%

See 1 more Smart Citation

Augmented Reality and its Applications in Education: A Systematic Survey

Zulfiqar,

Raza,

Khan

et al. 2023

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The use of technology, especially mobile phones, has significantly increased over the past few decades and has become an essential element in our daily lives. Mobile and desktop applications based on Augmented Reality (AR) proved to be a revolutionary step in different areas, especially in the educational sector. AR provides an improved and extended version of reality with the superimposition of a virtual object in the real-world environment. These objects can be interacted with and visualized in many ways to provide full AR experiences. By interacting with augmented virtual objects, students can visualize and completely understand various difficult concepts during their studies rather than traditional learning, allowing collaborative learning and hence improving learnability, motivation, and focus. This survey paper discusses the concept of AR and its types, the need for AR applications in education, analysis of various state-of-the-art AR applications in terms of platform, augmented virtual content, interactions, usability, usefulness, performance, effectiveness, and ease-of-use under a single taxonomy. Although applications of AR in education for learning, teaching, and simulating have proven quite effective in delivering the concepts via interactive study, there are also several limitations in terms of complexity and availability of hardware, platforms, internet connections, portability, computational, and rendering speed. This study offers insights into potential trends and directions that AR technology might take in education, furnishing readers with a glimpse of forthcoming developments. This comprehensive perspective equips educators, researchers, and practitioners with valuable insights into the pedagogical implications, technological aspects, and practical considerations related to AR.

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“…Augmented Reality (AR) consists of the visualization of digital information superimposed on the real environment, providing additional information to users and helping them to solve tasks at the same time [13]. At this moment, AR is not a diffuse technology in the agricultural domain but is more commonly used in manufacturing [14][15][16], industrial sectors [17,18], medicine [19,20], psychology [21,22] and education [23][24][25]. Several studies have already shown that AR can be a useful technology in agricultural contexts [26,27].…”

Section: Introductionmentioning

confidence: 99%

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Pinna

¹

,

Sara

²

,

Todde

³

et al. 2023

Preprint

0

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Modern livestock farm technologies allow operators to have access to a multitude of data thanks to the high number of mobile and fixed sensors available on both the livestock farming machinery and the animals. These data can be consulted via PC, tablet, and smartphone, which must be handheld by the operators, leading to an increase in the time needed for on-field activities. In this scenario, the use of augmented reality smart glasses could allow the visualization of data directly in the field, providing for a hands-free environment for the operator to work. Nevertheless, to visualize specific animal information, a connection between the augmented reality smart glasses and electronic animal identification is needed. Therefore, the main objective of this study was to develop and test a wearable framework, called SmartGlove that is able to link RFID animal tags and augmented reality smart glasses via a Bluetooth connection, allowing the visualization of specific animal data directly in the field. Moreover, another objective of the study was to compare different levels of augmented reality technologies (assisted reality vs. mixed reality) to assess the most suitable solution for livestock management scenarios. For this reason, the developed framework and the related augmented reality smart glasses applications were tested in the laboratory and in the field. Furthermore, the stakeholders’ point of view was analyzed using two standard questionnaires, the NASA-Task Load Index and the IBM-Post Study System Usability Questionnaire. The outcomes of the laboratory tests underlined promising results regarding the operating performances of the developed framework, showing no significant differences if compared to a commercial RFID reader. During the on-field trial, all the tested systems were capable of performing the task in a short time frame. Furthermore, the operators underlined the advantages of using the SmartGlove system coupled with the augmented reality smart glasses for the direct on-field visualization of animal data.

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Advancements in combining electronic animal identification and augmented reality technologies in digital livestock farming

Pinna,

Sara,

Todde

et al. 2023

Sci Rep

5

0

View full text Add to dashboard Cite

Modern livestock farm technologies allow operators to have access to a multitude of data thanks to the high number of mobile and fixed sensors available on both the livestock farming machinery and the animals. These data can be consulted via PC, tablet, and smartphone, which must be handheld by the operators, leading to an increase in the time needed for on-field activities. In this scenario, the use of augmented reality smart glasses could allow the visualization of data directly in the field, providing for a hands-free environment for the operator to work. Nevertheless, to visualize specific animal information, a connection between the augmented reality smart glasses and electronic animal identification is needed. Therefore, the main objective of this study was to develop and test a wearable framework, called SmartGlove that is able to link RFID animal tags and augmented reality smart glasses via a Bluetooth connection, allowing the visualization of specific animal data directly in the field. Moreover, another objective of the study was to compare different levels of augmented reality technologies (assisted reality vs. mixed reality) to assess the most suitable solution for livestock management scenarios. For this reason, the developed framework and the related augmented reality smart glasses applications were tested in the laboratory and in the field. Furthermore, the stakeholders’ point of view was analyzed using two standard questionnaires, the NASA-Task Load Index and the IBM-Post Study System Usability Questionnaire. The outcomes of the laboratory tests underlined promising results regarding the operating performances of the developed framework, showing no significant differences if compared to a commercial RFID reader. During the on-field trial, all the tested systems were capable of performing the task in a short time frame. Furthermore, the operators underlined the advantages of using the SmartGlove system coupled with the augmented reality smart glasses for the direct on-field visualization of animal data.

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An Augmented Reality ecosystem for learning environment

Cited by 4 publications

References 10 publications

Augmented Reality and its Applications in Education: A Systematic Survey

Augmented Reality and its Applications in Education: A Systematic Survey

Advancements in Electronic Identification of Animals and Augmented Reality Technologies in Digital Livestock Farming

Advancements in combining electronic animal identification and augmented reality technologies in digital livestock farming

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