Abstract Information technologies exist to enable us either do things we have not done before or familiar more efficiently. Metaverse (i.e. extended reality: XR) enables novel forms of engrossing telepresence, but it also may make mundate tasks effortless. Such increasingly facilitate our work, education, healthcare, consumption and entertainment; however, at the same time, metaverse bring a host challenges. Therefore, pose question whether XR technologies, specifically Augmented Reality...

Purpose In recent years, there has been significant interest in adopting XR (extended reality) technologies such as VR (virtual and AR (augmented reality), particularly retail. However, extending activities through reality-mediation is still mostly believed to offer an inferior experience due their shortcomings usability, wearability, graphical fidelity, etc. This study aims address the research gap by experimentally examining acceptance of metaverse shopping. Design/methodology/approach...

Abstract There are high expectations towards extended reality (XR), namely the “metaverse”. However, human performance in metaverse has been called into question when undertaking everyday activities (e.g., working, shopping, and learning etc.), as complex human-technology interaction required may hinder cognitive abilities such processing of information. Therefore, this study attempts to address whether how XR impacts recall recognize information daily-life settings. We investigated effects...

Automatic markerless estimation of infant posture and motion from ordinary videos carries great potential for movement studies "in the wild", facilitating understanding motor development massively increasing chances early diagnosis disorders. There is rapid human pose methods in computer vision thanks to advances deep learning machine learning. However, these are trained on datasets featuring adults different contexts. This work tests compares seven popular (AlphaPose, DeepLabCut/DeeperCut,...

Extended reality (XR) such as VR and AR have been increasingly adopted across domains in cognitively challenging activities learning, shopping, gaming among others. There are a few concerns about the inferior cognitive affordance of XR-mediated functioning, e.g., with respect to memory retention. For better understanding how different XR technologies influence performance (e.g., recognition), we examine effects -mediation on ability remember (i.e., recognize afterward) text image-based...

This article describes a dataset of synthetic images representing biological scenery as captured by Fourier Lightfield Microscope (FLMic). It includes 22,416 related to eight scenes composed 3D models objects typical for samples, such red blood cells and bacteria, categorized into Cells Filaments groups. For each scene, two types image data structures are provided: 51 × Elemental Images (EIs) Densely Sampled Light Fields (DSLF) 201 composing Z-Scans the scenes. Auxiliary also information...

In this paper, we propose an unsupervised calibration framework aimed at calibrating RGB plus Near-InfraRed (NIR) capture setups. We favour dense feature matching for the case of multimodal data and utilize Scale-Invariant Feature Transform (SIFT) flow, previously developed same-category image objects. develop optimization procedure that minimizes global disparity field between two images in order to adapt SIFT flow our needs. The proposed substantially increases number inliers yields more...

Production of high-quality virtual reality content from real sensed data is a challenging task due to several factors such as calibration multiple cameras and rendering views. In this paper, we present pipeline that maximizes the performance view an imagery captured by camera equipped with fisheye lens optics. While optics offer wide field-of-view, it also introduces specific distortions. These have be taken into account while views for target application (e.g., head-mounted displays). We...