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Author's Preface: How to Manage Emotions in Design Innovation In today's time frame, emotions are paramount to people, and emotional relationships are becoming more and more desirable. An extension of emotional relationships is the affinity we feel with the products that we consume in this physical world. It has become essential to explore a manner in which emotions play a vital role in the physical world with which we surround ourselves. Our ambitions, desires, and needs are all driven by our emotions. The products in the physical world support and propel these aspirations and can be seen as a reflection of our emotional desires. This has implications in the architecture design, interior design, fashion design, design of home appliances, automobiles, lifestyle products, etc. The physical world can thereby be seen as an extension of emotion-based human aspirations. Styling is an integral part of any product design and development process. During the styling process, a designer imparts emotive qualities to products. With the diminishing technological differences among products, these emotive qualities play an increasingly significant role in enhancing the desirability and sense of ownership towards the product. However, the absence of quantitative tools to evaluate and determine the emotive quality required in product innovation leads to uncertainty in the styling process. The Concept of Emoha This book proposes a new emotion-centered research framework for product styling that can be used for managing emotions in design innovation process--
Product design --- Motorcyclists --- Motorcycles --- New products --- Consumer behavior. --- Emotions. --- Psychology. --- Design and construction. --- Psychological aspects. --- Feelings --- Human emotions --- Passions --- Psychology --- Affect (Psychology) --- Affective neuroscience --- Apathy --- Pathognomy --- Behavior, Consumer --- Buyer behavior --- Decision making, Consumer --- Human behavior --- Consumer profiling --- Market surveys --- New product development --- NPD (Marketing) --- Product development --- Products, New --- Commercial products --- Industrial design --- Bikes --- Cycles (Motorcycles) --- Motor vehicles --- Bikers (Motorcyclists) --- Motorcycle drivers --- Motorcycle operators --- Motorcycle owners --- Motorcycle riders --- Riders, Motorcycle --- Motor vehicle drivers --- Design and construction
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Psychology --- Product strategy --- design [discipline] --- psychology --- productontwikkeling --- psychologie --- vormgeving --- motoren --- India
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This concise book provides a survival toolkit for efficient, large-scale software development. Discussing a multi-contextual research framework that aims to harness human-related factors in order to improve flexibility, it includes a carefully selected blend of models, methods, practices, and case studies. To investigate mission-critical communication aspects in system engineering, it also examines diverse, i.e. cross-cultural and multinational, environments. This book helps students better organize their knowledge bases, and presents conceptual frameworks, handy practices and case-based examples of agile development in diverse environments. Together with the authors’ previous books, "Crisis Management for Software Development and Knowledge Transfer" (2016) and "Managing Software Crisis: A Smart Way to Enterprise Agility" (2018), it constitutes a comprehensive reference resource adds value to this book.
Agile software development --- Software engineering --- Agile development (Computer science) --- Agile methods (Computer science) --- Agile processes (Computer science) --- Computer software --- Management. --- Development --- Computational intelligence. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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This concise book provides a survival toolkit for efficient, large-scale software development. Discussing a multi-contextual research framework that aims to harness human-related factors in order to improve flexibility, it includes a carefully selected blend of models, methods, practices, and case studies. To investigate mission-critical communication aspects in system engineering, it also examines diverse, i.e. cross-cultural and multinational, environments. This book helps students better organize their knowledge bases, and presents conceptual frameworks, handy practices and case-based examples of agile development in diverse environments. Together with the authors’ previous books, "Crisis Management for Software Development and Knowledge Transfer" (2016) and "Managing Software Crisis: A Smart Way to Enterprise Agility" (2018), it constitutes a comprehensive reference resource adds value to this book.
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This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work. Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications; Presents and escalates the research trends and future direction of language and speech processing; Includes theoretical research, experimental results, and applications of deep learning.
Electronics --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Mathematical linguistics --- neuronale netwerken --- fuzzy logic --- cybernetica --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- signal processing --- KI (kunstmatige intelligentie) --- signaalprocessoren --- signaalverwerking --- AI (artificiële intelligentie)
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Natural language processing (Computer science) --- Speech processing systems. --- Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing
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