Human-Centered Solutions Through Human-Computer Interaction: From Healthcare to Smart Environments
暫譯: 以人為本的解決方案:透過人機互動從醫療到智慧環境

Sharma, Arvind, Khan, Samiya, Yadav, Ashima

  • 出版商: CRC
  • 出版日期: 2026-02-27
  • 售價: $9,310
  • 貴賓價: 9.8$9,124
  • 語言: 英文
  • 頁數: 348
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032908122
  • ISBN-13: 9781032908120
  • 相關分類: Natural Language Processing
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The book covers the strategies and frameworks for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applications.

  • Covers the essence of human-computer interaction in healthcare applications, along with possibilities with generative artificial intelligence.
  • Discusses quality use of human cognition for the design and development of information processing systems from an industry perspective with human-computer interaction-based technologies.
  • Presents the strategies or framework for designing and developing intelligent systems to solve real-life problems related to digital health, telemedicine, and smart-cities applications.
  • Explains security and privacy issues in designing and developing of cyber-physical systems applications for healthcare and smart cities.
  • Explores emerging trends, challenges, and opportunities in the fields of augmented reality interfaces, affective computing, and ethical considerations in human-computer interaction design.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.

商品描述(中文翻譯)

本書涵蓋了設計和開發智能系統的策略和框架,以解決與數位健康、遠程醫療和智慧城市應用相關的現實問題。

- 涵蓋了醫療應用中人機互動的本質,以及生成式人工智慧的可能性。
- 從產業的角度討論了人類認知的質量在信息處理系統設計和開發中的應用,並基於人機互動技術。
- 提出了設計和開發智能系統的策略或框架,以解決與數位健康、遠程醫療和智慧城市應用相關的現實問題。
- 解釋了在設計和開發針對醫療保健和智慧城市的網絡物理系統應用時的安全性和隱私問題。
- 探索了增強現實介面、情感計算以及人機互動設計中的倫理考量等領域的新興趨勢、挑戰和機會。

本書主要針對電機工程、電子與通信工程、計算機科學與工程、生物醫學工程以及信息技術領域的高年級本科生、研究生和學術研究人員撰寫。

作者簡介

Arvind Sharma is an alumna of Guru Nanak Dev University India. He is an academician having 8+ years of experience, and currently working in the capacity of Associate Professor in Shoolini University, India. Apart from academics, he also holds certain administrative responsibilities with current or former employers, and currently serves as Faculty In-Charge in Shoolini University ACM Student Chapter. Earlier he worked for iHub and HCI Foundation, Indian Institute of Technology Mandi (IITM); Maharishi Markandeshwar (deemed to be) University; Chandigarh University; Trinity College; in India. He had Ph.D. in Computer Science and Engineering with specialization in Network Security from Rayat Bhara University, India; he received Master of Technology (M.Tech) in Computer Science and Engineering from Lovely Professional University, India along with another masters M.Sc. in Computer Science from Guru Nanak Dev University, India. His research interests span in Cryptography, Computer Networks, Cloud Computing, Internet of Things, and Interdisciplinary research in Healthcare. With over 35+ research papers, his scholarly work, journal articles, conference papers, is widely recognized in international/national publications. He served as book editor in several reputed publishing houses and journals. He also served as Guest Editor in Journal Special Issues. Currently 2 Ph.D. research scholars are pursuing their research work under the supervision of Dr. Sharma in Shoolini University.

Samiya Khan a University of Delhi alumna holds a PhD in Computer Science from Jamia Millia Islamia, India. She is currently working as Lecturer at the University of Greenwich, United Kingdom. Prior to this, she worked on an ERDF Project as Postdoctoral Research Fellow at the University of Wolverhampton, United Kingdom. With over 25+ research papers, her scholarly work, encompassing journal articles, conference papers and book chapters, is widely recognized in high-impact, international publications. Samiya has also served as a guest speaker for numerous events and conferences hosted by universities and organizations across the globe. In her editorial capacity, she has contributed as Guest Associate Editor for high impact journals such as Expert Systems and Frontiers in Big Data, and as a reviewer for numerous prestigious journals and conferences. Having a PhD focused on Big Data, she has also authored a book entitled, 'Big Data and Analytics. Besides this, she has co-edited five books published by renowned publishers such as Taylor & Francis and other reputed journals. Samiya's recent research endeavours focus on the application of data science in digital health.

Ashima Yadav is an Assistant Professor at the School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India. She earned her Ph.D. in Deep Learning from Delhi Technological University, New Delhi, India. She was honored with the "Research Excellence Award" by Delhi Technological University in 2020, 2021, and 2023 and "Dean's Research Award" by Bennett University in the year 2024. Additionally, she has been recognized in the top 2% of scientists globally by Stanford University in the year 2024. Her research interests includes deep learning, natural language processing, machine learning, fake news detection, Deepfake identification, emotion recognition, and sentiment analysis.

作者簡介(中文翻譯)

阿爾文·沙瑪(Arvind Sharma)是印度古魯納納克大學的校友。他是一位學者,擁有超過8年的經驗,目前在印度Shoolini大學擔任副教授。除了學術工作外,他還在目前或以前的雇主那裡擔任某些行政職責,並目前擔任Shoolini大學ACM學生分會的負責教師。他曾在印度的iHub和HCI基金會、印度理工學院曼迪分校(IITM)、馬哈里希·馬爾坎德什瓦爾(被認定為)大學、昌迪加爾大學和三一學院工作。他在印度Rayat Bhara大學獲得計算機科學與工程的博士學位,專攻網絡安全;並在印度Lovely Professional大學獲得計算機科學與工程的技術碩士(M.Tech)學位,還有在古魯納納克大學獲得的計算機科學碩士(M.Sc)學位。他的研究興趣涵蓋密碼學、計算機網絡、雲計算、物聯網以及醫療保健的跨學科研究。他發表了超過35篇研究論文,其學術作品、期刊文章和會議論文在國際和國內出版物中廣受認可。他曾在多家知名出版社和期刊擔任書籍編輯,並在期刊特刊中擔任客座編輯。目前有2名博士研究生在Shoolini大學的沙瑪博士指導下進行研究工作。

薩米亞·汗(Samiya Khan)是德里大學的校友,擁有印度Jamia Millia Islamia的計算機科學博士學位。她目前在英國格林威治大學擔任講師。在此之前,她曾在英國伍爾弗漢普頓大學作為博士後研究員參與ERDF項目。她發表了超過25篇研究論文,其學術作品涵蓋期刊文章、會議論文和書籍章節,在高影響力的國際出版物中廣受認可。薩米亞還曾擔任全球多個大學和組織舉辦的活動和會議的客座演講者。在編輯方面,她曾擔任高影響力期刊的客座副編輯,如《專家系統》和《大數據前沿》,並擔任多個知名期刊和會議的審稿人。她的博士研究專注於大數據,並著有一本名為《大數據與分析》的書。此外,她還共同編輯了五本由知名出版社如泰勒與弗朗西斯及其他知名期刊出版的書籍。薩米亞最近的研究工作專注於數據科學在數位健康中的應用。

阿希瑪·雅達夫(Ashima Yadav)是印度大諾伊達Bennett大學計算機科學工程與技術學院的助理教授。她在印度新德里的德里科技大學獲得深度學習的博士學位。她於2020年、2021年和2023年獲得德里科技大學頒發的「研究卓越獎」,並於2024年獲得Bennett大學的「院長研究獎」。此外,她在2024年被斯坦福大學認定為全球前2%的科學家。她的研究興趣包括深度學習、自然語言處理、機器學習、假新聞檢測、Deepfake識別、情感識別和情感分析。