Theory Of User Engineering


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Theory of User Engineering


Theory of User Engineering

Author: Masaaki Kurosu

language: en

Publisher: CRC Press

Release Date: 2016-12-01


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This book outlines the new concept of user engineering and covers the diversity of users, along with the business process that includes the design and the user’s experience processes. Although the concept of user experience (UX) has become popular, the definition and the methodology are still ambiguous. User engineering is similar to the user-centered design, but differs in that its scope is not limited to the design process but concerns the whole manufacturing process and the whole usage process, i.e., the whole lifecycle of an artifact. User’s perspective is strongly emphasized in this book, hence, its stance is far from that of the marketing approach that usually fails to notice the life and experiences of users after the purchase of an artifact as consumers. Theory of User Engineering differentiates between the quality in design and the quality in use, and the objective quality characteristics and the subjective quality characteristics. In addition to the user research using ethnographic methods, the author introduces a new approach based on the artifact evolution theory that can be adopted in the planning stage.

Human-Computer Interaction. Theories, Methods, and Human Issues


Human-Computer Interaction. Theories, Methods, and Human Issues

Author: Masaaki Kurosu

language: en

Publisher: Springer

Release Date: 2018-07-10


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The 3 volume-set LNCS 10901, 10902 + 10903 constitutes the refereed proceedings of the 20th International Conference on Human-Computer Interaction, HCI 2018, which took place in Las Vegas, Nevada, in July 2018. The total of 1171 papers and 160 posters included in the 30 HCII 2018 proceedings volumes was carefully reviewed and selected from 4346 submissions. HCI 2018 includes a total of 145 papers; they were organized in topical sections named: Part I: HCI theories, methods and tools; perception and psychological issues in HCI; emotion and attention recognition; security, privacy and ethics in HCI. Part II: HCI in medicine; HCI for health and wellbeing; HCI in cultural heritage; HCI in complex environments; mobile and wearable HCI. Part III: input techniques and devices; speech-based interfaces and chatbots; gesture, motion and eye-tracking based interaction; games and gamification.

System Identification


System Identification

Author: Lennart Ljung

language: en

Publisher: Pearson Education

Release Date: 1998-12-29


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The field's leading text, now completely updated. Modeling dynamical systems — theory, methodology, and applications. Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and general non-linear black box methods, including neural networks and neuro-fuzzy modeling. The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. He introduces both black-box and tailor-made models of linear as well as non-linear systems, and he describes principles, properties, and algorithms for a variety of identification techniques: Nonparametric time-domain and frequency-domain methods. Parameter estimation methods in a general prediction error setting. Frequency domain data and frequency domain interpretations. Asymptotic analysis of parameter estimates. Linear regressions, iterative search methods, and other ways to compute estimates. Recursive (adaptive) estimation techniques. Ljung also presents detailed coverage of the key issues that can make or break system identification projects, such as defining objectives, designing experiments, controlling the bias distribution of transfer-function estimates, and carefully validating the resulting models. The first edition of System Identification has been the field's most widely cited reference for over a decade. This new edition will be the new text of choice for anyone concerned with system identification theory and practice.