This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications. This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation. Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems.

Cognitive Load Measurement and Application provides up-to-date research and theory on the functional role of cognitive load measurement and its application in multimedia and visual learning. Grounded in a sound theoretical framework, this edited volume introduces methodologies and strategies that effect high-quality cognitive load measurement in learning. Case studies are provided to aid readers in comprehension and application within various learning situations, and the book concludes with a review of the possible future directions of the discipline.

This three-volume set of CCD 2023, constitutes the refereed proceedings of the 25th International Conference on Cross-Cultural Design, CCD 2023, held as Part of the 24th International Conference, HCI International 2023, which took place in July 2023 in Copenhagen, Denmark. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings volumes was carefully reviewed and selected from 7472 submissions. The papers of CCD 2023, Part II address topics related to user experience design in emerging technologies, future-focused design, as well as culturally-informed design of automated and intelligent systems.

This volume LNCS 13912 constitutes the refereed proceedings of the 20th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2023, in June 12-13, 2023 in Quebec City, QC, Canada. The 9 full papers presented together with 2 short papers were carefully reviewed and selected from 14 submissions. The conference focuses on topics such as Sensors Networks and Data Steaming; Mobility and Navigation; AI for Mobility Data Analytics; Volunteered Geographic information (VGI); Network Analysis and Geovisualization.

​Wearable technologies – such as smart glasses, smart watches, smart objects, or smart garments – are potential game-changers, breaking ground and offering new opportunities for learning. These devices are body-worn, equipped with sensors, and integrate ergonomically into everyday activities. With wearable technologies forging new human-computer relations, it is essential to look beyond the current perspective of how technologies may be used to enhance learning. This edited volume,“Perspectives on Wearable Enhanced Learning,” aims to take a multidisciplinary view on wearable enhanced learning and provide a comprehensive overview of current trends, research, and practice in diverse learning contexts including school and work-based learning, higher education, professional development, vocational training, health and healthy aging programs, smart and open learning, and work. This volume features current state of the art wearable enhanced learning and explores how these technologies have begun to mark the transition from the desktop through the mobile to the age of wearable, ubiquitous technology-enhanced learning.

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 constitutes the refereed proceedings of the 39th International Conference on Conceptual Modeling, ER 2020, which was supposed to be held in Vienna, Austria, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 28 full and 16 short papers were carefully reviewed and selected from 143 submissions. This events covers a wide range of topics, and the papers are organized in the following sessions: foundations of conceptual modeling; process mining and conceptual modeling; conceptual modeling of business rules and processes; modeling chatbots, narratives and natural language; ontology and conceptual modeling; applications of conceptual modeling; schema design, evolution, NoSQL; empirical studies of conceptual modeling; networks, graphs and conceptual modeling; and conceptual modeling of complex and data-rich systems.