Research on human-computer interaction (HCI) has been widely developed since the 1960s as a result of the rapid growth of information systems. Designing ergonomic human-computer interfaces is the purpose of human-computer interaction (HCI). Nonetheless, the user had complete control of the computer, but they were mostly static. The management of increasingly complex and coupled systems has become indispensable to both the public and private sectors over the past few years. Therefore, humans and machines must be able to adapt to unforeseen circumstances by maintaining degrees of freedom. Though modern machine manages all the activities that humans have done in the past, processing information as well as dealing with dynamic situations but uncertain factors play a crucial role in these dynamic situations, which are difficult to control. The trend the industry is experiencing demands a human-machine cooperative (HMC) approach to handle the new challenges such as cyber security. The chapter explains how HMC might improve HCI to address problems emerging from this change.
TopIntroduction
As the new Industrial era begins, a new perspective is presented focusing on the centrality of humans. With the Fourth Industrial Revolution, many changes have been made to the individual as well as workforce's foundations. Human-machine interactions have been profoundly altered by Industry 4.0, (Nardo, Forino, & Murino, 2020). These interactions are enabled with the help of Artificial Intelligence (AI), Internet of Things (IoT). In order to emphasize the importance of Human-machine interactions identification and visualization technologies serve as the main interface for human-machine interaction, (Lu, Jiang et al. 2021, Lodgaard, & Dransfeld, 2020) . The importance of the human factor will be deeply studied through the implementation of the personalised AI which can imitate the cognitive functions that we attribute to the human mind (Syam, Sharma, 2018) and it is expected that AI will be the most frequent technology adopted by the stakeholders, (Columbus, 2019).
Almost all research and industrial practices have been turned upside down by the Fourth Industrial Revolution, which has led both to technological innovation, (Kagermann et al., 2013). The convergence of Industry 4.0 with digitalization also led to Digital Transformation, (Deloitte 2015) and are integral to the adoption of digital technology. Over the past several years, digital transformation has also permeated many other areas. AI and IoT were once regarded as a frontier area of research, but today, artificial intelligence (AI) and Internet of Things (IoT) are the important area of research in virtually all fields (Metaxiotis et al. 2003), However, the new term 'Society 5.0', advancing technology to improve the well-being of society across the board and implementing many of the technologies into everyday life, is intended to influence society over the long term which requires wellbeing of society with the online rights of citizens in highly dynamic situations.
In technology, industry, and scholarly fields, artificial intelligence (AI) is booming. A burgeoning field of technology, artificial intelligence (AI) is far from a new concept. AI holds tremendous potential for dramatically changing the way marketing is done, but its applications have not yet been widely adopted. The application of AI in management arena is a vital area for researchers. So, understanding of artificial intelligence's long-term implications by examining its present and future applications, planning its implementation, and assessing its possible uses and where to make improvements is vital now. AI provides new ways to create and distribute value to companies, corporations and for end users. Hyper customization, scalable experiences, and deep insights comprise the innovations in this area and researchers predict that marketing strategies and consumer behaviours will change as a result.
Intelligent Automation evolves day after day and week after week, it allows to live in a more humane world. Although being in control is an important aspect of human-machine interaction, (Zanatto, et al., 2021) little is known about the effect of trust on this automation. Despite of India is emerging as a global IT superpower, asserting its digital sovereignty but there are many security challenges in terms of data privacy and financial transactions. In 2019, market size for cyber security stood at $161.07 billion and is expected to grow by 14.5% between 2020 and 2025, according to industry reports, (Businesswire.com) The growth of cyber security market signifies the more challenges in cyber securities. So there is a need to invest more in advanced security mechanism, cyber welfare, cyber security talent gap to bridge the cyber security challenges and to safeguard data privacy and online rights of citizens.
Objective of the Study
According to Statista, the global market for Iot end users solution is expected to grow a staggering 1.6 trillion by 2025. It shows that the Internet of things IoT is the next big thing in technology. As the IoT market continues to grow, and more and more devices enter the world, this creates a whole new set of challenges for IoT security. For these cyber security issues, there is a lack of trust in users to adopt these technologies. So, this study tries to address this research gap with possible solutions to overcome the cyber security issues along with trust. The study focuses on a specific human connection feature that has a helpful impact on the human-autonomy relationship. In this article, the author explored one possible approach for rebuilding trust, which is a crucial component of a successful relationship.