# The Future of the Human-Machine Interface (HMI) in Society 5.0
## 6 Discussion  
### Humanhine Framework  
Humanhes are necessary for the future because they can bring significant benefits and opportunities in various domains, including:  
* Enhanced productivity and efficiency: humachines can augment human capabilities with the speed, accuracy, and consistency of machines, leading to higher productivity and efficiency in many industries;
* Improved decision making: combining human reasoning and intuition with Machine Learning algorithms can lead to better decision making, reducing errors and improving outcomes;
* Advanced healthcare: Humanhes can help healthcare professionals in diagnoses, treatment planning, and monitoring, leading to more accurate and personalized healthcare;
* Innovation and creativity: by collaborating with machines, humans can access vast amounts of data, tools, and insights that can fuel innovation and creativity in various fields;
* Automation of mundane tasks: automation of repetitive and mundane tasks can free up human time and energy to focus on more meaningful and creative tasks, leading to higher job satisfaction and engagement.  
In summary, the Humanhine concept provides a vision of a future where machines and humans collaborate to solve complex problems and create new opportunities. This partnership between humans and machines can create a world where we work smarter, not harder, where we can achieve more together than we can alone. A conceptual framework highlighting the necessity of Humanchines is presented in Figure 12.  
More specifically, a Humachine conceptual framework can be viewed as a combination of human and machine intelligence, where both work together to achieve a common goal. The key components towards the development of a Humachine framework are:  
Purpose: The purpose of a Humachine system is to leverage the strengths of both human and machine intelligence to achieve a common goal. The goal can be anything from solving a complex problem to improving productivity;  
Roles: The Humachine framework defines specific roles for both humans and machines. Humans are responsible for tasks that require creativity, critical thinking, and empathy, while machines are responsible for tasks that require speed, accuracy, and scalability;  
Collaboration: Collaboration is key in a Humachine system. Humans and machines must work together seamlessly to achieve the desired outcome. This requires effective communication, trust, and respect between the two;  
Data: Data is the lifeblood of a Humachine system. Machines require large amounts of high-quality data to perform effectively, while humans provide context and meaning to the data;  
Feedback: Feedback is crucial in a Humachine system. Humans provide feedback to machines to improve their performance, while machines provide feedback to humans to help them make better decisions;  
Ethics: Ethics must be at the forefront of a Humachine system. Humans must ensure that machines are not making decisions that are harmful to society, while machines must be programmed to adhere to ethical guidelines;  
Continuous learning: A Humachine system must be constantly learning and improving. Humans and machines must be willing to adapt and evolve as new information and technology become available.