Computers have become ubiquitous and play an important role in our lives. To be usable, any computing device must allow some form of interaction with its user. Human-computer interaction is the point of communication between human users and computers. AI is gradually being integrated into the human-computer interaction. Designing traditional human-computer interaction courses faces new challenges with breakthroughs in third-generation AI technology. New interaction scenarios between humans and computers, such as smart homes and self-driving cars, are constantly emerging. As AI systems become more widespread, it will be essential to understand them from a human perspective. This chapter will provide an overview to the AI-based intelligent human-computer interaction.
TopIntroduction
Human intelligence is the capacity for complicated cognitive feats to be performed and solved, as well as having a high level of motivation and self-awareness. Humans can learn, use logic, reason, notice patterns, make judgments, solve issues, and think thanks to intelligence. Humans have the cognitive skills necessary to observe the world, recognise good and true things, and engage in interactions with others and their environments through perception, comprehension, reasoning, and expression. Humans are able to study works of classic literature and music, enjoy calming landscapes and works of art, and experience a vast world and a particular region. Then, students will be able to distinguish between them, understand what they mean, and express themselves through dialogue, writing articles, artwork, and any other means available. Humans are able to use their intelligence and interact differently because to these mechanisms. How human-machine interactions have changed through time is shown in Figure 1 below.
Figure 1. The Development of the Human-Machine Interaction over Time (Source: Xu, Dainoff, Ge, & Gao, 2021)
Artificial intelligence is a recent example of an emergent technology (AI) (M. N. O. Sadiku, 1989; R. O. Mason, 2003; S. Samoili, et.al, 2020; Zanzotto, F. M., 2019). Recently, artificial intelligence (AI) has gained widespread acceptance in a variety of sectors (Y. Mintz, et.al, 2019; A. N. Rames et al, 2004; Zhang, X., et.al, 2020; Yampolskiy, R.V., 2019; Yue, W., et.al, 2004), including virtual assistance, healthcare, and security. The field of human-computer interaction (HCI) has been combining AI and HCI (Zhou,J., et.al, 2018; Yang, F., et.al, 2020; Yang, Q., et.al, 2020) over the past few years in order to create an interactive intelligent system for user engagement. AI is being used in a variety of fields by employing various algorithms and utilising HCI to provide the user with transparency and build their trust in the computer.
Digitalization and the human-computer interaction are closely related concepts. In this study, it is referred to as HCI (A. Miller, 2019; T. Winograd, 2006; B. A. Nardi, et.al, 2009; M. Klumpp, et.al, 2019; Zhang, X. L., et.al, 2018). HCI is relevant in technical systems and software for a variety of reasons. For continued use, the perception and relationship between a human brain and a certain piece of software must be perfect and as clear as possible. Anything else won't be visible. This is a lively subject that emphasises the development of AI and HCI (M. Jeon, 2017; M. N. Posard, 2014; B. Dickson, 2017, T. Winograd, 2006; Zhou,J.& Chen, F.(2018) in addition to corporate digitization in general. AI has begun to make significant progress in a number of social concerns and has already helped with topics including agriculture and poverty, education, the environment, and health care. Simultaneously, AI has begun to expand its capacity to make crucial decisions in business, law, finance, and politics to support underprivileged communities in more effectively accessing and forecasting their health and welfare, diagnosing at-risk individuals more quickly and providing early intervention, and frequently finding targeted solutions.
Figure 2. The Framework for Human-Cantered AI (HCAI) with Certain Design Objectives (Source: Xu, Dainoff, Ge, & Gao, 2022)
This study aims to demonstrate the connection between artificial intelligence and the interaction between humans and computers. The study will be carried out using a survey technique, and users of artificial intelligence will make up the sample. The employment of a machine between people and computers as a semiotic mechanism can be described in a descriptive manner while allowing for a great deal of generating capacity. The semiotic perspective can lead to a number of projects at the interface of AI and HCI (M. N. O. Sadiku, 2018; J. Chakraborty et.al, 2015; W. B. Rouse, 1977), both more theoretically and using current techniques. They can also take the shape of user-centered and evaluation-based tests on AI, model recognition, and data science-based systems, which are appropriate for both interaction design and processes.