Книга Advances in Human-Machine Systems, Human-Machine Interfaces and Human Wearable Device Performance Kaiway Li

Advances in Human-Machine Systems, Human-Machine Interfaces and Human Wearable Device Performance

Автор: Kaiway Li, Lu Peng
Език: Английски език
Корици: С твърди корици
Издател: MDPI AG
Наличност: Външен склад
Изпращаме след 9-15 дни
74.61 145.93 лв
The rapid advancement of technology has led to the emergence of innovative devices such as AR and VR...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2025
страници
232
EAN
9783725851539
ISBN
3725851530
Enbook ID
49780871
Издател
Теглоt
780
Размери
175 x 250 x 20

Пълно описание

The rapid advancement of technology has led to the emergence of innovative devices such as AR and VR devices. Based on cutting-edge technologies, these devices are equipped with powerful processing capabilities, real-time data transmission, and immersive interactive features. From medical simulations to industrial design and entertainment, VR and AR have unlocked a wide range of applications, revolutionizing the ways in which humans interact with digital environments. Given the increasing integration of these devices into various fields, scientists are actively investigating their usability, efficiency, and compatibility with human operators. Understanding human performance and potential ergonomic challenges when using such devices is crucial for optimizing their design and functionality. To address these concerns, a Special Issue on Advances in Human-Machine Systems, Human-Machine Interfaces, and Human Wearable Device Performance was curated, compiling ten rigorously reviewed research articles published over a three-and-a-quarter-year period. These studies focus on human-machine interfaces, wearable device performance, and user interaction dynamics, providing critical insights into how humans adapt to and utilize these advanced systems. The primary objective of this collection is to identify key challenges, evaluate user experiences, and propose improvements that can guide future developments in human-machine interfaces. We sincerely hope that readers will benefit from the articles we collected in these aspects.

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