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result(s) for
"Human-computer interaction Social aspects."
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More-than-human-aging : animals, robots, and care in later life
by
Douglas, Cristina
,
McHugh, Susan (Susan Bridget)
,
Whitehouse, Andrew
in
Aging
,
Aging -- Anthropological aspects
,
Ethnology
2025,2024
What does later life look like when it is lived in the companionship of other species?Similarly, how do other species age (or not) with humans, and what sort of (a)symmetries, if any, are brought to light around how we understand and think about aging?So far, aging has been investigated in the social sciences in purely human terms.
Artificial Intelligence, Machine Learning and User Interface Design
by
Mate, G. S
,
Shaikh, Nuzhat Faiz
,
Dhotre, Sunita
in
Artificial intelligence
,
COMPUTERS / Social Aspects / Human-Computer Interaction
,
Human-Computer Interaction
2024
Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies. The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains. Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management. Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts. Readership Computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.
Crowdsourcing
by
Brabham, Daren C
in
Business networks
,
Communication, Networking and Broadcast Technologies
,
Communications & Telecommunications
2013,2019
Ever since the term \"crowdsourcing\" was coined in 2006 byWiredwriter Jeff Howe, group activities ranging from the creation of the Oxford English Dictionary to the choosing of new colors for M&Ms have been labeled with this most buzz-generating of media buzzwords. In this accessible but authoritative account, grounded in the empirical literature, Daren Brabham explains what crowdsourcing is, what it is not, and how it works. Crowdsourcing, Brabham tells us, is an online, distributed problem solving and production model that leverages the collective intelligence of online communities for specific purposes set forth by a crowdsourcing organization -- corporate, government, or volunteer. Uniquely, it combines a bottom-up, open, creative process with top-down organizational goals. Crowdsourcing is not open source production, which lacks the top-down component; it is not a market research survey that offers participants a short list of choices; and it is qualitatively different from predigital open innovation and collaborative production processes, which lacked the speed, reach, rich capability, and lowered barriers to entry enabled by the Internet. Brabham describes the intellectual roots of the idea of crowdsourcing in such concepts as collective intelligence, the wisdom of crowds, and distributed computing. He surveys the major issues in crowdsourcing, including crowd motivation, the misconception of the amateur participant, crowdfunding, and the danger of \"crowdsploitation\" of volunteer labor, citing real-world examples from Threadless, InnoCentive, and other organizations. And he considers the future of crowdsourcing in both theory and practice, describing its possible roles in journalism, governance, national security, and science and health.
Experimental human-computer interaction : a practical guide with visual examples
\"Experiments that require the use of human participants are time consuming and costly: it is important to get the process right the first time. Planning and preparation are key to success. This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analyzing and reporting the results. The advice offered in this book draws on the author's twenty years of experience running experiments. In describing general concepts of experimental design and analysis she refers to numerous worked examples that address the very real practicalities and problems of conducting an experiment, such as managing participants, getting ethical approval, preempting criticism, choosing a statistical method, and dealing with unexpected events\"-- Provided by publisher.
Human-computer interaction : an empirical research perspective
2013
Human-Computer Interaction: An Empirical Research Perspective is the definitive guide to empirical research in HCI.The book begins with foundational topics including historical context, the human factor, interaction elements, and the fundamentals of science and research.
The sentient machine : the coming age of artificial intelligence /
Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.