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Beijing Jinfa Technology Co., Ltd

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Human Computer Interaction and Virtual Simulation Laboratory

NegotiableUpdate on 03/17
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Overview
The human-computer interaction and virtual simulation laboratory mainly records and analyzes the interrelationships between humans, machines, and the environment. It combines knowledge and methods from disciplines such as human science, biological science, systems engineering, psychology, and physiology, and uses the ErgoLAB human-computer environment synchronization platform as the core to synchronize diverse data on the impact of human-computer environment interaction, improving the quantitative dimension and standards of scientific research data.
Product Details
brand Jinfa Technology Origin Category domestic
Application field Building materials, transportation, aerospace, justice, automobiles

Human Computer Interaction and Virtual Simulation LaboratorySolution

The ErgoLAB Industrial Design Human Machine Engineering Laboratory solution focuses on recording and analyzing the interrelationships between humans, machines, and the environment. It combines knowledge and methods from disciplines such as human science, biological science, systems engineering, psychology, and physiology. With the ErgoLAB Human Machine Environment Synchronization Platform at its core, it synchronizes diverse data on human machine environment interactions, enhancing the quantitative dimensions and standards of scientific research data.

Characteristics of laboratory plan:

Human Computer Interaction and Virtual Simulation LaboratorySolution

Create a 3D virtual reality simulation experimental environment (such as virtual assembly, product modeling, construction, etc.), using human machine environment synchronization technology to synchronously record:

Synchronize various complex natural or working environment changes, such as environmental temperature, humidity, noise, lighting, wind speed, air flow rate, particulate matter in the air, organic matter, etc;

Synchronize the physiological conditions of the human body during various activities (such as electroencephalography, electrocardiography, electrooculography, heart rate, electroencephalography, skin temperature, blood flow, etc.), and the eyes

Changes in movement or visual focus, as well as changes in head and facial expressions;

Synchronize video data of human outward behavior (actions, postures, movements, positions, forces, angles, human body vibration states, etc.);

Complete real-time synchronization recording, tracking, and analysis of human-machine environment data at the same time point or within the same time period.

Application areas: It can be widely used in industrial design, product design, interaction design, usability research, user experience, human-computer interaction interface design, user behavior, consumer behavior and other fields of research.
The Jinfa ErgoLAB human-machine environment synchronization platform is designed to study human behavioral responses in different environments, as well as various complex natural physical or work environment changes (such as environmental temperature, humidity, noise, lighting, wind speed, air flow, particulate matter in the air, organic matter, etc.) during various activities, including human physiological conditions (such as EEG, ECG, eye electrical activity, heart rate, skin electrical activity, skin temperature, blood flow, etc.), eye movements or visual focus points, as well as changes in head and facial expressions, and synchronize all of the above data collection; Objective observation and analysis of all causal relationships between internal and external changes by combining video data of human outward behavior (actions, postures, movements, positions, forces, angles, human body vibration states, etc.); Complete real-time synchronization recording, tracking, and analysis of human machine environment data at the same time point or within the same time period.

Why adopt ErgoLAB human-machine environment synchronization research method?

A single indicator is not conducive to obtaining reliable conclusions - a good experimental design or data interpretation should try to avoid the occurrence of systematic and random variables.

When a certain indicator is different from other indicators, accurate judgments can still be made, while single dimensional research may inadvertently fall into errors.

The interpretation of multidimensional indicators is richer (obtaining attention information with the help of eye movements and real-time collection of subjects' electrophysiological states to understand cognitive and emotional information)