Enhancing the Human-computer Interaction through the Application of Artificial Intelligence, Machine Learning, and Data Mining
- Authors: S. O. Owoeye1, K.I Adenuga2, H.A Mustapha3, A.S Akinade4
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View Affiliations Hide Affiliations1 Department of Mechatronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria 2 Farnborough College of Technology, University Centre Farnborough, United Kingdom 3 Department of Mechatronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria 4 Department of Mechatronics Engineering, Federal University of Agriculture, Abeokuta, Nigeria
- Source: Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II , pp 159-176
- Publication Date: January 2022
- Language: English
<div>Machines have become an essential part of day-to-day human activities;</div><div>their volume and frequency of usage have rapidly increased in every sector. These</div><div>machines, especially the computer system, are well known for their speed, accuracy,</div><div>repeatability, and use to execute tasks that can be harmful to humans. However, these</div><div>machines lack intelligence, as they do not possess the ability to think like humans. The</div><div>quest for producing machines with thinking capabilities led to artificial intelligence;</div><div>thus, many efforts were channeled towards developing devices that can communicate</div><div>with their surroundings, making a logical decision on what has been perceived, and</div><div>then provide the proper solution to the problem. To achieve this feat, machine learning</div><div>is utilized by subjecting the system to a series of training using algorithms and data</div><div>mining techniques, which is similar to how humans learn from infancy till adulthood</div><div>and then execute tasks based on knowledge and the experiences they have gathered</div><div>growing up. While these technologies opened a creative horizon for technological</div><div>development, there is a current demand for intelligent user interfaces with high</div><div>usability that can sustain the mode of interaction depending on users, tasks assigned,</div><div>and the environment. This chapter attempts to present an overview of how data mining</div><div>can be incorporated with machine learning to produce a machine with artificial</div><div>intelligence and how both can improve the intelligent user interface.</div>
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