The Interface of Minds Human-Machine Interaction in the Digital Age

The Interface of Minds Human-Machine Interaction in the Digital Age

DOI: 10.4018/979-8-3693-2015-0.ch002
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Abstract

Artificial intelligence (AI) is an increasingly expanding domain within the field of computer science that engenders intelligent machines competent in executing human tasks. The implementation of AI technology is progressively becoming more prevalent in sectors such as healthcare, banking, and transportation. The efficacy, accuracy, and decision-making capabilities of AI have the potential to revolutionize a wide array of industries. AI acquires knowledge and enhances its proficiency by utilising machine learning algorithms. These algorithms allow robots to assess extensive datasets, subsequently discovering patterns and insights that surpass human comprehension. Human-machine interaction centres on the collaboration between individuals and computers or machines, where it can anticipate assumptions and methods utilized to facilitate a spontaneous framework. The basic purpose of human-computer interaction (HCI) is to create functional systems that end users find useable, safe, and effective.
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Introduction

The 21st century has seen the convergence of human cognition with machine intelligence, ushering in a new era where minds meet machines at the interface (Orange,2013; Nooney, 2023). As technology continues to permeate our lives, the interaction between humans and machines changes how we see, interact, and navigate (Hollnagel, 2001). This study delves deep into the complex web of the digital era, examining the dynamics of human minds interacting with the ever-evolving machine world. From user interfaces to artificial intelligence symbiosis, this study take a journey to explore the intricacies and possibilities of the interface between minds. If digital frontiers continue to expand, it becomes imperative to comprehend the complexities of this mutually beneficial relationship to navigate the obstacles and embrace the possibilities of a future in which humans and machines merge in unprecedented ways (Rogers, 2009). Human-computer interaction (HCI) is a multidisciplinary area of study that centres on the conceptualization of computer technology and, more specifically, the interaction between humans (the users) and computers (Brey, 2005; Chignell et al., 2023). While its initial focus was on computers, HCI has progressively broadened its scope to encompass virtually all forms of information technology design.

Presently, interactions with machines have become more prevalent and adaptable, enabling the connection of devices that can perform tasks with greater efficiency (Ziemer et al., 2019). To fully grasp this phenomenon, one must understand what is commonly called human-machine interaction. Human-machine interaction centres on the collaboration between individuals and computers or machines, where it can anticipate assumptions and methods utilized to facilitate a spontaneous framework. Human-computer interaction is contingent upon the exchange of information between individuals and the machines they utilize. Touch screens and keyboards are commonplace examples of human-machine interaction encountered daily (Olson) and Olson, 2012). This interaction is a conduit between users and their devices, systems, or gadgets. The interconnectedness between these components is of utmost importance due to the vast array of purposes for which computers can be employed and the myriad means by which users and computers can communicate with one another. The amalgamation of users' previous knowledge, experiences, and current expertise significantly influences their interactions with computers. Human-computer interaction is based on the exchange of information between people and the machines they use (Park et al., 2023). Touch screens and keyboards are frequent instances of human-machine interaction we see daily. This interaction functions as a link between users and their equipment, systems, or gadgets. The interconnectedness of these components is critical because computers can be used for a wide range of purposes, and there are several ways for humans and computers to communicate. The combination of users' historical knowledge, experiences, and current skills substantially impacts their interactions with computer systems and can perpetuate biases in data, resulting in discriminatory outcomes. To promote fairness, AI systems should be educated on various data sets and audited regularly (Harish et al., 2013).

HCI emerged in the 1980s, coinciding with the rise of personal computing when machines like the Apple Macintosh, IBM PC 5150, and Commodore 64 began to appear in homes and offices in unprecedented numbers (Soloway et al., 1994; Canny, 2006). Common customers could purchase advanced electronic devices like word processors, gaming consoles, and accountancy assistants for the first time. Because computers were no longer pricey, room-sized instruments designed only for specialists in specialised settings, it became more and more important to develop human-computer interaction that was also simple and effective for less experienced users. From its inception, Human-Computer Interaction (HCI) has evolved to encompass many academic fields, including computer science, cognitive science, and human-factors engineering (Król, 2021). Presently, HCI is primarily concerned with the creation, execution, and assessment of interactive interfaces that augment the user's experience through the utilization of computing devices. This entails the design of user interfaces, the implementation of user-centred design principles, and the development of user experience design methodologies (Król, 2021).

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