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The proceedings gather a selection of refereed papers presented at the 7th International Conference on Kansei Engineering and Emotion Research 2018 (KEER 2018), which was held in Kuching, Malaysia from 19 to 22 March 2018. The contributions address the latest advances in and innovative applications of Kansei Engineering and Emotion Research. The subjects include: Kansei, Emotion and Games Kansei, Emotion and Computing Kansei, Emotion and Wellbeing / Quality of Life Kansei, Emotion and Design Kansei, Emotion and Health / Ergonomics Kansei, Emotion and Multidisciplinary Fields Kansei, Emotion and Culture Kansei, Emotion and Social computing Kansei, Emotion and Evaluation Kansei, Emotion and User Experience The book offers a valuable resource for all graduate students, experienced researchers and industrial practitioners interested in the fields of user experience/usability, engineering design, human factors, quality management, product development and design.
This book gathers a selection of refereed papers presented at the 8th International Conference on Kansei Engineering and Emotion Research 2020 (KEER 2020), which was held in Tokyo, Japan, 7–9 September 2020. The contributions address the latest advances in and innovative applications of Kansei Engineering and Emotion Research and related topics. This book caters researchers and graduate students in the field of design, art, Kansei engineering, and other engineering fields, psychology, physiology, and education.
This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.
The four-volume set LNCS 11583, 11584, 11585, and 11586 constitutes the proceedings of the 8th International Conference on Design, User Experience, and Usability, DUXU 2019, held as part of the 21st International Conference, HCI International 2019, which took place in Orlando, FL, USA, in July 2019. The total of 1274 papers and 209 posters included in the 35 HCII 2019 proceedings volumes was carefully reviewed and selected from 5029 submissions. DUXU 2019 includes a total of 167 regular papers, organized in the following topical sections: design philosophy; design theories, methods, and tools; user requirements, preferences emotions and personality; visual DUXU; DUXU for novel interaction techniques and devices; DUXU and robots; DUXU for AI and AI for DUXU; dialogue, narrative, storytelling; DUXU for automated driving, transport, sustainability and smart cities; DUXU for cultural heritage; DUXU for well-being; DUXU for learning; user experience evaluation methods and tools; DUXU practice; DUXU case studies.
This book discusses the latest advances in affective and pleasurable design. Further, it reports on important theoretical and practical issues, covering a wealth of topics including aesthetics in product and system design, design-driven innovation, affective computing, evaluation tools for emotion, Kansei engineering for products and services, and many more. Based on the AHFE 2018 International Conference on Affective and Pleasurable Design, held on July 21–25, 2018, in Orlando, Florida, USA, the book provides a timely survey and inspiring guide for all researchers and professionals involved in design, e.g. industrial designers, emotion designers, ethnographers, human–computer interaction researchers, human factors engineers, interaction designers, mobile product designers, and vehicle system designers.
This book presents and develops the deep data analytics for providing the information needed for successful new product development. Deep Data Analytics for New Product Development has a simple theme: information about what customers need and want must be extracted from data to effectively guide new product decisions regarding concept development, design, pricing, and marketing. The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole. This book is recommended reading for analysts involved in new product development. Readers with an analytical bent or who want to develop analytical expertise would also greatly benefit from reading this book, as well as students in business programs.
This book is focused on the importance of detecting people’s motivation, how they make decisions and the way the actions they take is rapidly increasing with the progress of IoT and the Connected Society. It explores how emotion-related processes are increasing in importance rapidly. The contributors move through a variety of related topics, all aimed at revealing how humans and things must increasingly interact. It indicates how strategy becomes increasingly important, particularly creating the best adaptable strategy to respond to the quickly and extensively changing situations. With engineering quickly moving from product development to experience development, and the role of emotion in engineering becoming increasingly apparent, this book offers a timely and valuable resource for engineers and researchers alike.
This book constitutes the refereed proceedings of the 19th International TRIZ Future Conference on Automated Invention for Smart Industries, held in Marrakesh, Morocco, in October 2019 and sponsored by IFIP WG 5.4. The 41 full papers presented were carefully reviewed and selected from 72 submissions. They are organized in seven thematic sections: TRIZ improvement: theory, methods and tools; TRIZ and other innovation approaches; TRIZ applications in technical design; TRIZ applications in eco design; TRIZ applications in software engineering; TRIZ applications in specific disciplinary fields; and TRIZ in teaching.
In the era of Industry 5.0, the world faces a critical juncture where technological advancement collides with escalating socio-environmental challenges. Climate change, energy consumption, and threats to public health are exacerbated by the rapid embrace of Industry 4.0 technologies. As businesses pursue efficiency, the compromise on human and social sustainability becomes inevitable. The need for a holistic approach to sustainable development is urgent, where economic growth aligns seamlessly with environmental, social, and human well-being. Eco-Innovation and Sustainable Development in Industry 5.0 serves as a guide in the pursuit of sustainable development within Industry 5.0. This book dissects the intricate challenges posed by socio-environmental issues and seamlessly offers a multidisciplinary approach to achieving sustainable development goals. The detrimental impact of Industry 4.0 on sustainable development necessitates the paradigm shift proposed within the book. Economic pursuits can no longer overshadow the crucial pillars of human, social, and environmental sustainability. The delicate balance required for a sustainable future is at risk, demanding a multidisciplinary approach to reconcile these seemingly conflicting objectives. This book is a call to action, to bridge the knowledge gap and provide tangible solutions for achieving sustainability in Industry 5.0.
This two-volume set (LNAI 11683 and LNAI 11684) constitutes the refereed proceedings of the 11th International Conference on Computational Collective Intelligence, ICCCI 2019, held in Hendaye France, in September 2019.The 117 full papers presented were carefully reviewed and selected from 200 submissions. The papers are grouped in topical sections on: computational collective intelligence and natural language processing; machine learning in real-world data; distributed collective intelligence for smart manufacturing; collective intelligence for science and technology; intelligent management information systems; intelligent sustainable smart cities; new trends and challenges in education: the university 4.0; intelligent processing of multimedia in web systems; and big data streaming, applications and security.