Recent years have seen a resurgence of virtual reality (VR), sparked by the repurposing of low-cost COTS components. VR aims to generate stimuli that appear to come from a source other than the interface through which they are delivered. The synthetic stimuli replace real-world stimuli, and transport the user to another, perhaps imaginary, "place." To do this, we must overcome many challenges, often related to matching the synthetic stimuli to the expectations and behavior of the real world. One way in which the stimuli can fail is its latency-- the time between a user's action and the computer's response. We constructed a novel VR renderer, that optimized latency above all else. Our prototype allowed us to explore how latency affects human-computer interaction. We had to completely reconsider the interaction between time, space, and synchronization on displays and in the traditional graphics pipeline. Using a specialized architecture--dataflow computing--we combined consumer, industrial, and prototype components to create an integrated 1:1 room-scale VR system with a latency of under 3 ms. While this was prototype hardware, the considerations in achieving this performance inform the design of future VR pipelines, and our human factors studies have provided new and sometimes surprising contributions to the body of knowledge on latency in HCI.
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http://dx.doi.org/10.1109/MCG.2020.2980183 | DOI Listing |
Adv Healthc Mater
January 2025
Department of Clinical and Experimental Biomedical Sciences, University of Florence, Viale G.B. Morgagni, 50, Florence, 50134, Italy.
Mimicking compositions and structures of extracellular matrix is widely studied to create in vitro tumor models, to deepen the understanding of the pathogenesis of the different types of cancer, and to identify new therapies. On the other hand, the use of synthetic materials to modulate cancer cell biology and, possibly, to reduce the malignancy of cancer cells through their exploitation is far less explored. Here, the study evaluates the effects of Liquid Crystalline Networks (LCNs) based scaffolds on the growth of A375 metastatic melanoma cells.
View Article and Find Full Text PDFAdv Biol (Weinh)
January 2025
Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Synthetic cells offer a versatile platform for addressing biomedical and environmental challenges, due to their modular design and capability to mimic cellular processes such as biosensing, intercellular communication, and metabolism. Constructing synthetic cells capable of stimuli-responsive secretion is vital for applications in targeted drug delivery and biosensor development. Previous attempts at engineering secretion for synthetic cells have been confined to non-specific cargo release via membrane pores, limiting the spatiotemporal precision and specificity necessary for selective secretion.
View Article and Find Full Text PDFPLoS One
January 2025
Departments of Microbiology, College of Medicine, Ewha Womans University, Seoul, Korea.
Mast cells, immune sentinels that respond to various stimuli in barrier organs, provide defense by expressing pattern recognition receptors, such as Toll-like receptors (TLRs). They may affect inflammatory responses and wound healing. Here, we investigated the effect of TLR2/6-stimulated mast cells on wound healing in keratinocytes.
View Article and Find Full Text PDFOpen Res Eur
January 2025
Center for Innovative Research and Liaison, Wakayama University, Wakayama, Wakayama Prefecture, Japan.
The purpose of this paper is to make easily available to the scientific community an efficient voice morphing tool called STRAIGHTMORPH and provide a short tutorial on its use with examples. STRAIGHTMORPH consists of a set of Matlab functions allowing the generation of high-quality, parametrically-controlled morphs of an arbitrary number of voice samples. A first step consists in extracting an 'mObject' for each voice sample, with accurate tracking of the fundamental frequency contour and manual definition of Time and Frequency anchors corresponding across samples to be morphed.
View Article and Find Full Text PDFSoft Matter
January 2025
LENS (European Laboratory for Non-Linear Spectroscopy) Via Nello Carrara 1, 50019 Sesto Fiorentino (FI), Italy.
Liquid Crystalline Networks (LCNs) are widely investigated to develop actuators, from soft robots to artificial muscles. Indeed, they can produce forces and movements in response to a plethora of external stimuli, showing kinetics up to the millisecond time-scale. One of the most explored preparation technique involves the photopolymerization of an aligned layer of reactive mesogens.
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