A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual support, healthcare, and security. Human-Computer Interaction (HCI) is a field that has been combining AI and h...
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oai:doaj.org-article:2b846f506b974b4f8791760fcb20fe142021-11-24T00:01:51ZA Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques2169-353610.1109/ACCESS.2021.3127881https://doaj.org/article/2b846f506b974b4f8791760fcb20fe142021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9614151/https://doaj.org/toc/2169-3536Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual support, healthcare, and security. Human-Computer Interaction (HCI) is a field that has been combining AI and human-computer engagement over the past several years in order to create an interactive intelligent system for user interaction. AI, in conjunction with HCI, is being used in a variety of fields by employing various algorithms and employing HCI to provide transparency to the user, allowing them to trust the machine. The comprehensive examination of both the areas of AI and HCI, as well as their subfields, has been explored in this work. The main goal of this article was to discover a point of intersection between the two fields. The understanding of Explainable Artificial Intelligence (XAI), which is a linking point of HCI and XAI, was gained through a literature review conducted in this research. The literature survey encompassed themes identified in the literature (such as XAI and its areas, major XAI aims, and XAI problems and challenges). The study’s other major focus was on the use of AI, HCI, and XAI in healthcare. The poll also addressed the shortcomings in XAI in healthcare, as well as the field’s future potential. As a result, the literature indicates that XAI in healthcare is still a novel subject that has to be explored more in the future.Mobeen NazarMuhammad Mansoor AlamEiad YafiMazliham Mohd Su'udIEEEarticleArtificial intelligencedeep learningexplainable artificial intelligencehealthcarehuman-computer interactionhuman-centered designElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153316-153348 (2021) |
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Artificial intelligence deep learning explainable artificial intelligence healthcare human-computer interaction human-centered design Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Artificial intelligence deep learning explainable artificial intelligence healthcare human-computer interaction human-centered design Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mobeen Nazar Muhammad Mansoor Alam Eiad Yafi Mazliham Mohd Su'ud A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
description |
Artificial intelligence (AI) is one of the emerging technologies. In recent decades, artificial intelligence (AI) has gained widespread acceptance in a variety of fields, including virtual support, healthcare, and security. Human-Computer Interaction (HCI) is a field that has been combining AI and human-computer engagement over the past several years in order to create an interactive intelligent system for user interaction. AI, in conjunction with HCI, is being used in a variety of fields by employing various algorithms and employing HCI to provide transparency to the user, allowing them to trust the machine. The comprehensive examination of both the areas of AI and HCI, as well as their subfields, has been explored in this work. The main goal of this article was to discover a point of intersection between the two fields. The understanding of Explainable Artificial Intelligence (XAI), which is a linking point of HCI and XAI, was gained through a literature review conducted in this research. The literature survey encompassed themes identified in the literature (such as XAI and its areas, major XAI aims, and XAI problems and challenges). The study’s other major focus was on the use of AI, HCI, and XAI in healthcare. The poll also addressed the shortcomings in XAI in healthcare, as well as the field’s future potential. As a result, the literature indicates that XAI in healthcare is still a novel subject that has to be explored more in the future. |
format |
article |
author |
Mobeen Nazar Muhammad Mansoor Alam Eiad Yafi Mazliham Mohd Su'ud |
author_facet |
Mobeen Nazar Muhammad Mansoor Alam Eiad Yafi Mazliham Mohd Su'ud |
author_sort |
Mobeen Nazar |
title |
A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
title_short |
A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
title_full |
A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
title_fullStr |
A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
title_full_unstemmed |
A Systematic Review of Human–Computer Interaction and Explainable Artificial Intelligence in Healthcare With Artificial Intelligence Techniques |
title_sort |
systematic review of human–computer interaction and explainable artificial intelligence in healthcare with artificial intelligence techniques |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/2b846f506b974b4f8791760fcb20fe14 |
work_keys_str_mv |
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