Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era

Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era

1st Edition - April 1, 2023

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  • Editors: Surbhi Bhatia, Suyel Namasudra, Swati Chandna
  • Paperback ISBN: 9780323998918

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Description

Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era investigates the interaction and growing interdependency of the HCI and AI fields, which are not usually addressed in traditional approaches. Chapters explore how well AI can interact with users based on linguistics and user-centered design processes, especially with the advances of AI and the hype around many applications. Other sections investigate how HCI and AI can mutually benefit from a closer association and the how the AI community can improve their usage of HCI methods like “Wizard of Oz” prototyping and “Thinking aloud” protocols.Moreover, HCI can further augment human capabilities using new technologies. This book demonstrates how an interdisciplinary team of HCI and AI researchers can develop extraordinary applications, such as improved education systems, smart homes, smart healthcare and map Human Computer Interaction (HCI) for a multidisciplinary field that focuses on the design of computer technology and the interaction between users and computers in different domains. The main goal of HCI is to make computers easier to use and more helpful to the users or customers.

Key Features

  • Presents fundamental concepts of both HCI and AI, addressing a multidisciplinary audience of researchers and engineers working on User Centered Design (UCD), User Interface (UI) design and User Experience (UX) design
  • Explores a broad range of case studies from across healthcare, industry and education
  • Investigates multiple strategies for designing and developing intelligent user interfaces to solve real-world problems
  • Outlines research challenges and future directions for the intersection of AI and HCI

Readership

Researchers, professionals, and graduate students in computer science & engineering

Table of Contents

  • 1. Introduction to Human Computer Interaction
    Surbhi Bhatia, Suryel Namasudra, and Swati Chandna
    Abstract
    1.1 Introduction
    1.2 Goals of HCI
    1.3 Advantages and Disadvantages of HCI
    1.4 History of HCI
    1.5 Working Principles and Factors in HCI
    1.6 Design Principles for User Interface
    1.7 Relevance of HCI in Different Domains
    1.8 Conclusions References

    2. Advances in Human Computer Interaction
    Anand Eswararao Yerrapati, Oracle, India; Arnab Banerjee, Infosys Ltd., India; Suraj Sharma, IIIT Bhubaneswar, India
    Abstract
    2.1 Introduction
    2.2 Employing Virtual and Augmented Reality
    2.3 Employing Mixed Reality
    2.4 Empirical Study on User Behavior
    2.5 Design and Evaluation of Interactive Systems
    2.6 Existing Methods and Algorithms in HCI
    2.7 Comparisons of the Existing Methods and Algorithms in HCI
    2.8 Conclusions
    References

    3. Introduction to Artificial Intelligence
    Zhihan Lv, Qindao University, China; Debiao He, Wuhan University, China; Haojun Liang, University of Science and Technology, China
    Abstract
    3.1 Introduction
    3.2 History of AI
    3.3 Symbolic AI and Computational AI
    3.4 Evolutionary Computing
    3.5 Logic Based Reasoning
    3.6 Structural Models of Knowledge Representation
    3.7 Rule Based Systems
    3.8 Pattern Recognition and Cluster Analysis
    3.9 Neural Networks
    3.10 Applications of AI
    3.11 Future Research Directions and Prospects in AI
    3.12 Conclusions References

    4. Computational Intelligence in Human Computer Interaction
    Barbara Sprick, SRH University Heidelberg, Germany; Gerd Moeckel, SRH University Heidelberg, Germany; Kapal Dev, Trinity College, Ireland
    Abstract
    4.1 Introduction
    4.2 Case based Reasoning
    4.3 Evolutionary Computing
    4.4 Fuzzy Approximated Reasoning
    4.5 Natural Language Reasoning
    4.6 Computational Intelligent Techniques used in HCI
    4.7 Comparisons among Computational Intelligent Techniques used in HCI
    4.8 Conclusions References

    5. Human Centered Artificial Intelligence
    Naveen Chilamkurti, La Trobe University, Australia; Amir H. Gandomi, University of Technology, Sydney, Australia; Vijay Varadharajan, The University of Newcastle, Australia
    Abstract
    5.1 Introduction to Human Centered AI
    5.2 Human-in-the-Loop Machine Learning, Reasoning and Planning
    5.3 Data Analysis
    5.4 Designing and Prototyping
    5.5 Evaluation and Strategies
    5.6 Conclusions References

    6. Strategies for Efficient Intelligent User Interfaces
    Jenn-Wei Lin, National Chung Hsing University, Taiwan; WuYuin Hwang, National Central University, Taiwan; Ching-Hsien Hsu, Asia University, Taiwan
    Abstract
    6.1 Introduction
    6.2 Strategies for Efficient Intelligent User Interfaces
    6.3 Recent Innovations in Intelligent User Interfaces
    6.4 Conclusions References

    7. Uses of Artificial Intelligence with Human Computer Interaction in Psychology
    Zaharia Mihai Horia, Gheorghe Asachi Technical University, Romania; Seema Irshad, King Faisal University, Saudi Arabia; Mike Sharples, University of Sussex, UK
    Abstract
    7.1 Introduction
    7.2 Preliminaries
    7.3 Role of HCI in Psychology
    7.4 User Centered System Development
    7.5 Usability Engineering and Verification
    7.6 Conclusions
    References

    8. Managing Effects of Post Pandemic using Artificial Intelligence with Human Computer Interaction
    Pascal Lorenz, University of Haute-Alsace, France; Omprakash Kaiwartya, Nottingham Trent University, UK; Ali Kashif Bashir, Manchester Metropolitan University, UK
    Abstract
    8.1 Introduction
    8.2 Background Studies
    8.3 Managing Effects of Work from Home
    8.4 Managing Effects of Blended Learning
    8.5 Managing Effects of E-Learning
    8.6 Conclusions and Future Work
    References

    9. Practical Case Studies on Human Computer Interaction
    Amir H. Alavi, University of Pittsburgh, USA; Khutaija Maheen, Farleigh Dickinson University, USA; Arun Somani, Iowa State University, USA; Mohammad Ismail, Tennessee Tech University, USA
    Abstract
    9.1 Introduction
    9.2 Healthcare Systems
    9.3 Digital Hearing
    9.4 E-Learning
    9.5 Market Analysis
    9.6 Conclusions References

    10. Design and Development of Applications using Human Computer Interaction
    Devesh Bajpai, Apple Inc., USA; Sandesh Athreya, Arrow Tech, GmBH, Germany; Shashin Kumar Sachan, Adobe, Inc., UK
    Abstract
    10.1 Introduction
    10.2 Designing Applications for Airlines
    10.3 Designing Automotive Applications
    10.4 Designing Healthcare Applications
    10.5 Designing Applications of Virtual Reality
    10.6 HCI for Emergencies
    10.7 Conclusions
    References

    11. Challenges and Future Directions in Artificial Intelligence with Human Computer Interaction
    Debora Christina Muchalauat Saader, Manoel Carvalho Marques Neto, Maria da Graça Campos Pimentel, Federal Institute of Bahia (IFBA), Salvador, Brazil
    Abstract
    11.1 Introduction
    11.2 Research Challenges in AI with HCI
    11.3 Beyond HCI
    11.4 Future Work Directions in AI with HCI
    11.5 Conclusions References

Product details

  • No. of pages: 300
  • Language: English
  • Copyright: © Academic Press 2023
  • Published: April 1, 2023
  • Imprint: Academic Press
  • Paperback ISBN: 9780323998918

About the Editors

Surbhi Bhatia

Dr. Surbhi Bhatia is doctorate in Computer Science and Engineering from Banasthali Vidypaith, India. She earned Project management Professional Certification from reputed Project Management Institute, USA. She is currently an Assistant Professor in the College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 8 years of teaching and academic experience. She has published more than 40 papers in reputed journals and conferences in high indexing databases and has and has patents from US, Australia and India.  She has delivered talks as keynote speaker in IEEE conferences and participated in AICTE sponsored faculty development programs. She has successfully authored 2 books and edited 7 books from Wiley, CRC Press, Elsevier and Springer.  She has successfully been awarded 2 funded research project grants from Deanship of Scientific Research at King Faisal University and also from Ministry of Education, Saudi Arabia. Her research interests include Machine Learning, Sentiment analysis and Information Retrieval.

Affiliations and Expertise

Assistant Professor, College of Computer Science and Information Technology, King Faisal University, Riyadh, Saudi Arabia

Suyel Namasudra

Dr. Namasudra is an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India. Prior to joining NIT Patna, Dr. Namasudra was an Assistant Professor in the Department of Computer Science Engineering at the Bennett University, India. He received a PhD in Computer Science and Engineering from the National Institute of Technology Silchar, Assam, India. His research interests include cloud computing, machine learning and DNA computing. Dr. Namasudra has edited two books, one patent and 35 publications in refereed journals, book chapters and conference proceedings. Dr. Namasudra is an Editorial Board member and a Reviewer of many journals.

Affiliations and Expertise

Assistant Professor, Department of Computer Science and Engineering at the National Institute of Technology Patna, Bihar, India

Swati Chandna

Dr. Chandna is Full Professor at SRH University Heidelberg, Germany since April 2020. She is responsible for Data Storytelling, Telling and Communication, User Experience Design and Implementation, Usability Engineering and Verification modules for the students of Big Data and Business Analytics (M.Sc.) and Applied Computer Science Program (M.Sc.). Before this she was working a guest professor at SRH University Heidelberg and also as a senior data scientist and has worked for various renowned customers in automobile, heath and airline industry. She has worked as a computer scientist in Karlsruhe Institute of Technology in the area of digital humanities. She holds a Ph.D. in Computer Science from Karlsruhe Institute of Technology, Germany. Her research interests include artificial intelligence, big data analytics, data visualization, machine learning and data storytelling. She has authored and co-authored more than 20 research papers published in national and international journals and conference proceedings.

Affiliations and Expertise

Professor of Information, Media and Design, SRH University Heidelberg, Heidelberg, Germany

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