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Designing Agentive Technology

Author: Christopher Noessel

Publisher: Rosenfeld Media

Published: 2017-05-01

Total Pages: 280

ISBN-13: 1933820705

Advances in narrow artificial intelligence make possible agentive systems that do things directly for their users (like, say, an automatic pet feeder). They deliver on the promise of user-centered design, but present fresh challenges in understanding their unique promises and pitfalls. Designing Agentive Technology provides both a conceptual grounding and practical advice to unlock agentive technology’s massive potential.

Agent Technology

Author: Nicholas R. Jennings

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 325

ISBN-13: 3662036789

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The first book to provide an integrative presentation of the issues, challenges and success of designing, building and using agent applications. The chapters presented are written by internationally leading authorities in the field, with a general audience in mind. The result is a unique overview of agent technology applications, ranging from an introduction to the technical foundations to reports on dealing with specific agent systems in practice.

Emotions, Technology, Design, and Learning

Author: Sharon Y. Tettegah

Publisher: Academic Press

Published: 2015-10-07

Total Pages: 332

ISBN-13: 012801881X

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Emotions, Technology, Design, and Learning provides an update to the topic of emotional responses and how technology can alter what is being learned and how the content is learned. The design of that technology is inherently linked to those emotional responses. This text addresses emotional design and pedagogical agents, and the emotions they generate. Topics include design features such as emoticons, speech recognition, virtual avatars, robotics, and adaptive computer technologies, all as relating to the emotional responses from virtual learning. Addresses the emotional design specific to agent-based learning environments Discusses the use of emoticons in online learning, providing an historical overview of animated pedagogical agents Includes evidence-based insights on how to properly use agents in virtual learning environments Focuses on the development of a proper architecture to be able to have and express emotions Reviews the literature in the field of advanced agent-based learning environments Explores how educational robotic activities can divert students’ emotions from internal to external

Emotions, Technology, and Design

Author: Sharon Tettegah

Publisher: Academic Press

Published: 2015-12-28

Total Pages: 269

ISBN-13: 0081007019

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Emotional design explicitly addresses the emotional relationship between the objects and the subjects of design—in this book, the objects are technologies, and the subjects are technology users. The first section delves into the philosophy and theory of emotional design to provide a foundation for the rest of the book, which goes on to discuss emotional design principles, the design and use of emoticons, and then intelligent agents in a variety of settings. A conclusion chapter covers future research and directions. Emotions, Technology, and Design provides a thorough look at how technology design affects emotions and how to use that understanding to in practical applications. Discusses the role of culture, trust, and identity in empathetic technology Presents a framework for using sound to elicit positive emotional responses Details the emotional use of color in design Explores the use of emoticons, earcons, and tactons Addresses the emotional design specific to agent-based environments

Robot-Proof

Author: Joseph E. Aoun

Publisher: MIT Press

Published: 2018-08-14

Total Pages: 211

ISBN-13: 0262535971

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How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.

Cases on Smart Learning Environments

Author: Darshan Singh, Abtar

Publisher: IGI Global

Published: 2018-12-28

Total Pages: 445

ISBN-13: 1522561374

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At a time when ICTs are proliferating various facets of society and human interactivity, optimizing the use of these tools and technologies not only enhances learning but also transforms learning experiences all together, resulting in an increase of effectiveness and quality of education around the globe. As such, teachers are being challenged to implement a wide range of tools, such as mobile learning and augmented reality, to create smarter learning environments inside and outside of the classroom. Cases on Smart Learning Environments explores the potential of SLE tools for enhanced learning outcomes as experienced by educators, learners, and administrators from various learning institutions around the world. This publication presents cases on the real-world implementation of SLEs in 11 countries that span the continents of Asia, Africa, Europe, and North and South America. Featuring coverage on a broad range of topics such as learner engagement, teacher training, and intelligent agent technology, this book is ideally designed for academicians, instructors, instructional designers, librarians, educational stakeholders, and curriculum developers.

Object Design

Author: Rebecca Wirfs-Brock

Publisher: Addison-Wesley Professional

Published: 2003

Total Pages: 420

ISBN-13: 9780201379433

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Object technology pioneer Wirfs-Brock teams with expert McKean to present a thoroughly updated, modern, and proven method for the design of software. The book is packed with practical design techniques that enable the practitioner to get the job done.

A Web for Everyone

Author: Sarah Horton

Publisher: Rosenfeld Media

Published: 2014-01-15

Total Pages: 288

ISBN-13: 193382039X

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If you are in charge of the user experience, development, or strategy for a web site, A Web for Everyone will help you make your site accessible without sacrificing design or innovation. Rooted in universal design principles, this book provides solutions: practical advice and examples of how to create sites that everyone can use.

System Design Interview - An Insider's Guide

Author: Alex Xu

Publisher: Independently Published

Published: 2020-06-12

Total Pages: 280

ISBN-13:

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The system design interview is considered to be the most complex and most difficult technical job interview by many. Those questions are intimidating, but don't worry. It's just that nobody has taken the time to prepare you systematically. We take the time. We go slow. We draw lots of diagrams and use lots of examples. You'll learn step-by-step, one question at a time.Don't miss out.What's inside?- An insider's take on what interviewers really look for and why.- A 4-step framework for solving any system design interview question.- 16 real system design interview questions with detailed solutions.- 188 diagrams to visually explain how different systems work.

Art in the Age of Machine Learning

Author: Sofian Audry

Publisher: MIT Press

Published: 2021-11-23

Total Pages: 215

ISBN-13: 0262367106

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An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.