Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions

Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions

Release Date: June, 2024|Copyright: © 2024 |Pages: 300
DOI: 10.4018/979-8-3693-2794-4
ISBN13: 9798369327944|ISBN13 Softcover: 9798369346549|EISBN13: 9798369327951
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Description & Coverage
Description:

Industry 5.0 is poised to redefine the collaboration between humans and machines, marking a crucial moment in technological evolution. However, as we stand at the threshold of this transformative era, a critical challenge emerges – the integration of emotional intelligence into the industrial landscape. Organizations grapple with the urgent need to understand, strategize, and ethically deploy artificial emotional intelligence (AEI) in Industry 5.0. This pivotal juncture calls for a comprehensive resource that explores the theoretical foundations but offers practical insights into the applications, challenges, and responsible deployment of AEI.

The absence of a cohesive guide addressing the intricacies of AEI in Industry 5.0 leaves a void in academic scholarship. Organizations, researchers, and policymakers lack a singular, authoritative source to navigate the complexities of emotional intelligence integration, impacting Industry 5.0 strategies, sustainability plans, and customer services. The challenge lies in managing the delicate balance between human and machine collaboration while ensuring ethical considerations are at the forefront of AI deployment. As the demand for emotional intelligence in the industrial landscape intensifies, the need for a unifying resource becomes increasingly apparent.

Harnessing Artificial Emotional Intelligence for Improved Human-Computer Interactions is an innovative book crafted by leading researchers and practitioners across disciplines that serves as the solution to the challenges posed by the AEI revolution. By offering a comprehensive exploration of emotion recognition, affective computing, and human-robot interaction, the book equips readers with the knowledge needed to navigate the complexities of AEI in Industry 5.0. With a focus on practical implementations, ethical considerations, and the real-world impact on factories, collaborative robotics, and industrial automation, this book positions itself as the go-to resource for scholars, industry professionals, and decision-makers seeking to harness the transformative power of emotional intelligence in the Fifth Industrial Revolution.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • AEI and Human-Robot Safety
  • AEI and Worker Well-being in Smart Factories
  • AEI in Customer Service
  • Emotion Recognition in Human-Machine Interaction
  • Emotionally Intelligent Decision-Making in Industry 5.0
  • Enhancing Human-Robot Collaboration through Emotional Intelligence
  • Ethical and Privacy Considerations in AEI Deployment
  • Future Trends and Challenges in AEI for Industry 5.0
  • Human-AEI Collaboration in Industry 5.0
  • Human-Centered Design and User Experience in AEI Systems
  • Industry 4.0 to Industry 5.0 Shift Through Emotional Intelligence
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Editor/Author Biographies
Nitendra Kumar received a Ph. D (Mathematics) from Sharda University, Greater Noida, India and a Master of Science (Mathematics and Statistics) from Dr Ram Manohar Lohia Avadh University, Faizabad, India. Currently, he is working as an Assistant Professor at Amity Business School, Amity University, Noida with interests in Wavelets and its Variants, Data Mining, Inverse Problems, Epidemic Modeling, Fractional Derivatives Business Analytics, and Statistical Methods. He has more than 10 years of experience in his research areas. Dr Kumar has published many research papers in reputed journals and also published 6 books on engineering mathematics. He contributes to the research community by undertaking various volunteer activities in the capacity of editor for two edited books and guest Editor of reputed journals.
Surya Kant Pal is working as an Assistant Professor in the Department of Mathematics, SSBSR, Sharda University. Dr. Pal Holds M.Phil. & Ph.D. in Statistics from Vikram University Ujjain. He has worked with institutions like BFIT-Groups of Institutions, the University of Petroleum and Energy Studies, and Chandigarh University. He is an expert in Statistics, Regression Analysis, Predictive Analytics, Multivariate Data Analysis, Artificial Intelligence, Machine learning, Deep Learning, Data Mining, and Data Science & Analytics. On the research front, His research focused on Statistics & Analytics. He has expertise in MS Office, SPSS 20.0, R, and Python Software. His research area includes Statistical Techniques, Sampling Theory, Multivariate Analysis, AI, ML & DL, and Data mining. He has published 5+ patents, 100+ research papers in Journals of National & International repute along with 10+ book chapters. He is not only known in India but famous abroad too, serving as editor & reviewer of more than 30 reputed International /National Journals.
Priyanka Agarwal , Ph.D. in Management has more than two decades of experience in research, industry, and academia and is presently associated as Associate Professor with Amity Business School, Amity University, Uttar Pradesh in the area of HR, OB & Psychology. She has been in the reviewer panel for conferences and has contributed to the Research community by collaborating with editorial board of special issues of UGC CARE, SCOPUS and WOS journals. She is a keen researcher and published research papers, case studies, book chapters in journals and books of repute . She has two edited books to her credit. Few of her research interests include Multi-generations in the Workplace, optimization in HR, diversity and inclusion, employee engagement, emerging trends in business analytics . In addition to her expertise in teaching and research, her key role includes mentoring and grooming budding managers, being the Programme leader of MBA Programme over the last few years. She is also associate editor of Amity Journal of Entrepreneurship and Leadership. She brings in a good blend of professional expertise and humane approach that makes her quite accessible.
Joanna Rosak-Szyrocka is an Assistant Professor, Erasmus+ coordinator at the Faculty of Management, Czestochowa University of Technology, Poland. She specialized in the fields of digitalization, industry 5.0, quality 4.0, education, IoT, AI, and quality management. She completed a research internship at the University of Żilina, Slovakia, and at Silesia University of Technology, Poland. Participant in multiple Erasmus+ teacher mobility programs: Italy, UK, Slovenia, Hungary, Czech Republic, Slovakia, and France. She held a series of lectures on Quality Management at universities in countries such as Great Britain, the Czech Republic, Slovakia, Slovenia, France, Hungary, and Italy. She cooperates with many universities both in the country (University of Szczecin, Rzeszów University of Technology, Silesian University of Technology), and abroad (including the University of Tabuk, Saudi Arabia; Széchenyi István University, Hungary; University Faisalabad, Pakistan; University of Humanities, China, University of Technology Sydney, Australia; Bucharest University of Economic Studies, Romania; and Federal University Dutse, Nigeria). Editorial Board: Plos One Journal, PeerJ Journal, and IJQR
Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, U. P. India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 14 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has authored more than 90 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 30 books with various reputed publishers, including Elsevier, Springer, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science and IGI-Global. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.
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