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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Autores principales: Mobeen Nazar, Muhammad Mansoor Alam, Eiad Yafi, Mazliham Mohd Su'ud
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/2b846f506b974b4f8791760fcb20fe14
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Artificial intelligence
deep learning
explainable artificial intelligence
healthcare
human-computer interaction
human-centered design
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle 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
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