Adil Khan 9 months ago
AdiKhanOfficial #FYP Ideas

using iot devices for sensor based monitoring of employees mental workload investigating managers expectations and concerns14453

Although the objective assessment of mental workload has been a focus of human factors research, few studies have investigated stakeholders' attitudes towards its implementation in real workplaces. The present study addresses this research gap by surveying N = 702 managers in three European

Project Title

Project Area of Specialization

Internet of Things

Project Summary

Although the objective assessment of mental workload has been a focus of human factors research, few studies have investigated stakeholders' attitudes towards its implementation in real workplaces. The present study addresses this research gap by surveying N = 702 managers in three European countries (Germany, United Kingdom, Spain) about their expectations and concerns regarding sensor-based monitoring of employee mental workload. The data confirm the relevance of expectations regarding improvements of workplace design and employee well-being, as well as concerns about restrictions of employees' privacy and sovereignty, for the implementation of workload monitoring. Furthermore, Bayesian regression models show that the examined expectations have a substantial positive association with managers’ willingness to support workload monitoring in their company. Privacy concerns are identified as a significant barrier to the acceptance of workload monitoring, both in terms of their prevalence among managers and their strong negative relationship with monitoring support.

Project Objectives

The Objectives are as follows:

The assessment of mental workload of human has been a focused.

To confirm the relevance of expectations regarding improvements of workplace design and employee well-being..

To improve health and increase productivity by wearing the “Wearable mental Workload (WML)”.

Detection of occupational safety risks.

To validate the workload monitoring to increase support among corporate decision maker.

Project Implementation Method

The project will be implemented by following methods:

Sample: Participants were recruited .

Questionnaire:After an introductory section which captured participants’ DE-mographics, their form of employment, and information about their company, participants will be introduced to the concept of sensor-based

monitoring of employees’ mental workload.

Data analysis.

Benefits of the Project

For identifying sources of error and to improve performance.

Increased awareness of the negative effects of certain work

practices on the health and well-being of employees, allowing

them to be better addressed.

Earlier detection and prevention of occupational safety risks

caused by employee overload.

Possibility of providing incentives for employees to change

unhealthy work practices through open communication of

individual or group workload indicators.

Technical Details of Final Deliverable

Environ sensors: Environmental sensors that measure environmental conditions such as loudness, humidity, or illumination to determine their effect on the employee’s mental workload .

Wearable: Wearables like fitness trackers that use physiological parameters, such as blood pressure or heart rate, to determine the employee’s mental workload .

Microphone: Microphone-based systems that use voice characteristics, such as pitch or rate of speech, to determine the employee’s mental workload .

Camera: Camera-based systems that use body posture or the occurrence of certain behaviors to determine the employee’s mental workload .

Eye-tracker: Eye-tracker based systems that use eye parameters, such as pupil dilation or eye movement, to determine the employee’s mental workload .

The project WML(Wearable mental Workload ) will be implemented  in a factory, industries and in companies to asses the mental workload of employees/ workers.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Others

Core Technology

Internet of Things (IoT)

Other Technologies

Augmented & Virtual Reality

Sustainable Development Goals

Zero Hunger

Required Resources

Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Thesis and stationary Miscellaneous 5200010000
internet connection Equipment6200012000
tracking sensor Equipment7300021000
Eye Tracker Equipment12000020000
Camera Equipment11500015000
microphones Equipment120002000
Total in (Rs) 80000
If you need this project, please contact me on contact@adikhanofficial.com
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