Human-computer interaction studies the users and their interaction with an interactive software system (ISS). However, these studies are designed for people without any type of disability, causing there to be few existing techniques or tools that focus on the characteristics of a specific user, thus causing accessibility and utility issues for neglected segments of the population. This reference source intends to remedy this lack of research by supporting an ISS focused on people with visual impairment. User-Centered Software Development for the Blind and Visually Impaired: Emerging Research and Opportunities is a collection of innovative research on techniques, applications, and methods for carrying out software projects in which the main users are people with visual impairments. While highlighting topics including mobile technology, assistive technologies, and human-computer interaction, this book is ideally designed for software developers, computer engineers, designers, academics, researchers, professionals, and educators interested in current research on usable and accessible technologies.

With today’s technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include artificial intelligence and natural language processing, but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.

This two-volume set of LNCS 12188 and 12189 constitutes the refereed proceedings of the 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference, HCI International 2020, which took place in Copenhagen, Denmark, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The total of 1439 papers and 238 posters have been accepted for publication in the HCII 2020 proceedings from a total of 6326 submissions. UAHCI 2020 includes a total of 80 regular papers which are organized in topical sections named: Design for All Theory, Methods and Practice; User Interfaces and Interaction Techniques for Universal Access; Web Accessibility; Virtual and Augmented Reality for Universal Access; Robots in Universal Access; Technologies for Autism Spectrum Disorders; Technologies for Deaf Users; Universal Access to Learning and Education; Social Media, Digital Services, Inclusion and Innovation; Intelligent Assistive Environments.

This two-volume set constitutes the refereed proceedings of the 16th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2022, held as part of the 24th International Conference, HCI International 2022, held as a virtual event, in June-July 2022. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. UAHCI 2022 includes a total of 73 papers; they focus on topics related to universal access methods, techniques and practices, studies on accessibility, design for all, usability, UX and technology acceptance, emotion and behavior recognition for universal access, accessible media, access to learning and education, as well universal access to virtual and intelligent assistive environments.

The two-volume set LNCS 12794-12795 constitutes the refereed proceedings of the 9th International Conference on Culture and Computing, C&C 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers included in the HCII-C&C volume set were organized in topical sections as follows: Part I: ICT for cultural heritage; technology and art; visitors’ experiences in digital culture; Part II: Design thinking in cultural contexts; digital humanities, new media and culture; perspectives on cultural computing.

This book constitutes the refereed proceedings of the 6th Annual Smart City 360° Summit. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of seven conferences, namely AISCOVID 2020 - International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities; EdgeIoT 2020 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2020 - International Conference on Cognitive Computing and Cyber Physical Systems; CiCom 2020 - International Conference on Computational Intelligence and Communications; S-Cube 2020 - International Conference on Sensor Systems and Software; SmartGov 2020 - International Conference on Smart Governance for Sustainable Smart Cities; and finnally, the Urb-IOT 2020 -International Conference on IoT in Urban Space.

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.