SPECIFICS OF VISUALIZATION OF STUDY MATERIAL WITH AUGMENTED REALITY WHILE STUDYING NATURAL SCIENCES
Augmented reality (AR) gives the ability to visualize an object (atoms and molecules, their interference, circuits of the devices, technological processes, etc.) as much as possible, meaning to convert a 2D image to 3D, as well as “make it alive”.
Lilia Midak, Olha Kuzyshyn, Lilia Baziuk
doaj +1 more source
Exploring the effect of improved learning performance: A mobile augmented reality learning system. [PDF]
Wang WT, Lin YL, Lu HE.
europepmc +1 more source
Muscle Control of an Extra Robotic Digit
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Leveraging augmented reality in education involving new pedagogies with emerging societal relevance
Recent innovations and development in educational technologies have revolutionized the methods and tools used for teaching and learning. Among these innovative technologies augmented reality is emerging as a promising educational technology that can be ...
Tabasum Mirza +3 more
doaj +1 more source
A conceptual model for studying the immersive mobile augmented reality application-enhanced experience. [PDF]
Nhan VK, Tam LT, Dung HT, Vu NT.
europepmc +1 more source
Affordances in Mobile Augmented Reality Applications
This paper explores the affordances of augmented reality content in a mobile augmented reality application. A user study was conducted by performing a multi-camera video recording of seven think aloud sessions. The think aloud sessions consisted of individual users performing tasks, exploring and experiencing a mobile augmented reality (MAR ...
openaire +4 more sources
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Evaluating system usability of mobile augmented reality application for teaching Karnaugh-Maps. [PDF]
Dutta R, Mantri A, Singh G.
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
Mobile augmented reality based indoor map for improving geo-visualization. [PDF]
Ma W, Zhang S, Huang J.
europepmc +1 more source

