{"product_id":"9789819246137","title":"Modeling Human Behavior with Cross-Disciplinary Artificial Intelligence","description":"\u003ch1\u003eModeling Human Behavior with Cross-Disciplinary Artificial Intelligence\u003c\/h1\u003e\u003ch3\u003eKazuya Takeda | Keisuke Fujii | Yoshio Ishiguro | Kento Ohtani\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\u003cp\u003eThis book presents cutting-edge research in cross-disciplinary artificial intelligence for modeling human behavior. Real-world interactions, such as autonomous driving, speech communication, human-computer interaction, and sports behavior, require the prediction, interpretation, and control of complex interactions between agents and their environments. Although deep learning has achieved remarkable progress, it still faces two major challenges in real-world behavior modeling: ensuring interpretability and reducing the need for exhaustive data collection.\u003cbr\u003e\u003cbr\u003eTo address these challenges, this book brings together data-driven methods, mathematical models, domain knowledge, and computational approaches for understanding the environment, individuality, movement, values, and their interrelationships in human behavior. Rather than treating each application area separately, the volume highlights common principles and methodological connections across different domains.\u003cbr\u003e\u003cbr\u003eThe book consists of five parts. Part I introduces behavior signal processing from a cross-disciplinary perspective. Parts II, III, IV, and V review recent advances in vehicle signal processing, audio, speech, and language processing, human-computer interaction, and sports behavior modeling, respectively. The book will be useful for researchers, graduate students, and professionals interested in artificial intelligence, machine learning, behavior modeling, real-world data analysis, and interpretable prediction and control.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cp\u003eKazuya Takeda is Professor at the Graduate School of Informatics, Nagoya University. His research covers behavior signal processing, driving behavior modeling, speech and acoustic signal processing, human-machine interaction, and sports behavior analysis. He has led cross-disciplinary research projects connecting artificial intelligence, real-world data, mobility, and human behavior modeling.\u003cbr\u003e\u003cbr\u003eKeisuke Fujii is Associate Professor at the Graduate School of Informatics, Nagoya University. His research focuses on machine learning, multi-agent systems, sports science, collective motion, computational biology, and robotics. He develops data-driven and domain-informed methods for analyzing, predicting, and controlling multi-body time-series data in sports, animals, and other real-world systems.\u003cbr\u003e\u003cbr\u003eYoshio Ishiguro is Associate Professor at the Interfaculty Initiative in Information Studies, The University of Tokyo. His research interests include human-computer interaction, human augmentation, mixed and augmented reality, and infotainment systems for autonomous vehicles. He has worked across academia and industry on interaction design for intelligent mobility and human-centered systems.\u003cbr\u003e\u003cbr\u003eKento Ohtani is Designated Assistant Professor at the Graduate School of Informatics, Nagoya University. His research focuses on acoustic signal processing, sound source separation, three-dimensional audio, and audio technologies for controlling auditory impressions and user experiences. His work contributes to the broader integration of sound, perception, and behavior modeling.\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e29 October 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Singapore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9789819246137\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":51460109369484,"sku":"9789819246137","price":179.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789819246137","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}