The development of human-computer interfaces in different individuals occur with different efficiencies, this is due to the individual characteristics of the genotype determined by the single-nucleotide polymorphism (SNP) of a person. Here, we checked the connection between the success of the acquisition of the brain-computer, eye-tracking, electromyographic, and respiratory interfaces and SNP of the , , and genes. Here, we show that the T-allele in rs6313 of the gene is associated with an increase in the number of correctly submitted commands of the electromyographic and eye-tracking interfaces. This is probably due to the fact that, the T-allele carriers decrease expression of this serotonin receptor. The decreased expression of may be a reason for an increase in the number of accurately submitted commands. It was shown that the TT genotype of rs4290270 polymorphism was associated with an increase in the accuracy of work with the myographic interface. In addition, the association of subjective interfaces work time with polymorphisms rs429358 and rs2030324 was noted. Thus, the genotypic characteristics of individuals can be a predictive sign for the degree of success of mastering human-computer interfaces, which can allow to expand the understanding of training the neural mechanisms when working with this class of devices.
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Biomed Tech (Berl)
December 2024
Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
National Engineering Lab of Special Display Technology, Special Display and Imaging Technology Innovation Center of Anhui Province, Academy of Optoelectronic Technology, Hefei University of Technology, Hefei 230009, China.
Flexible sensors mimic the sensing ability of human skin, and have unique flexibility and adaptability, allowing users to interact with intelligent systems in a more natural and intimate way. To overcome the issues of low sensitivity and limited operating range of flexible strain sensors, this study presents a highly innovative preparation method to develop a conductive elastomeric sensor with a cracked thin film by combining polydimethylsiloxane (PDMS) with multiwalled carbon nanotubes (MCNT). This novel design significantly increases both the sensitivity and operating range of the sensor (strain range 0-50%; the maximum tensile sensitivity of this sensor reaches 4.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Flexible sensors are increasingly significant in applications such as smart wearables and human-computer interactions. However, typical flexible sensors are spatially limited and can generally detect only one deformation mode. This study presents a novel multimodal flexible sensor that combines three sensing units: optoelectronics, ionic liquids, and conductive fabrics.
View Article and Find Full Text PDFCogn Process
December 2024
Department of Psychology, National Research University Higher School of Economics, Moscow, Russia.
As technological interfaces are relatively new cultural tools, regular interaction can lead to new psychological phenomena, like the baby duck syndrome, where users favor old interfaces over updates. This syndrome is seen as a cognitive bias in human-computer interaction. Two studies were conducted: Study 1 on an Airbnb app (old vs.
View Article and Find Full Text PDFACS Sens
December 2024
School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, P. R. China.
The pursuit of efficient and accurate human-computer interface design urgently requires high-performance sensors with pressure sensitivity, a wide detection range, and excellent cycling stability. Herein, a biomimetic honeycomb-like TiCT MXene/bacterial cellulose (BC) aerogel with a negative Poisson's ratio (ν = -0.14) synthesized from the bidirectional freeze-drying method is used as the active material for a flexible pressure sensor, which exhibits high sensitivity (20.
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