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portada Advances in Human-Machine Systems, Human-Machine Interfaces and Human Wearable Device Performance
Type
Physical Book
Publisher
Author
Language
English
Pages
232
Format
Hardcover
Dimensions
24.4 x 17.0 x 1.9 cm
ISBN13
9783725851539

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

Li, Kaiway; Peng, Lu (Author) · Mdpi AG · Hardcover

Advances in Human-Machine Systems, Human-Machine Interfaces and Human Wearable Device Performance - Li, Kaiway; Peng, Lu

New Book Imported to Taiwan
Delivery: 13 Aug - 21 Aug Shipping: 5 to 6 business days.
NT$ 2,813
NT$ 2,813

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

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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