Human-Centered Social Media Analytics


Book Description

This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.




Human-Centered Data Science


Book Description

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets. Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods. The authors explain how data scientists’ choices are involved at every stage of the data science workflow—and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.




Human-Centered Design and User Experience


Book Description

Proceedings of the AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2023 Hawaii Edition), Honolulu, Hawaii, USA 4-6, December 2023




Social Computing and Social Media. Design, Human Behavior and Analytics


Book Description

This two-volume set LNCS 11578 and 11579 constitutes the refereed proceedings of the 11th International Conference on Social Computing and Social Media, SCSM 2019, held in July 2019 as part of HCI International 2019 in Orlando, FL, USA. HCII 2019 received a total of 5029 submissions, of which 1275 papers and 209 posters were accepted for publication after a careful reviewing process. The 81 papers presented in these two volumes are organized in topical sections named: Social Media Design and Development, Human Behaviour in Social Media, Social Network Analysis, Community Engagement and Social Participation, Computer Mediated Communication, Healthcare Communities, Social Media in Education, Digital Marketing and Consumer Experience.




Human-Centered AI


Book Description

The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.




Designing for the Digital Age


Book Description

Whether you’re designing consumer electronics, medical devices, enterprise Web apps, or new ways to check out at the supermarket, today’s digitally-enabled products and services provide both great opportunities to deliver compelling user experiences and great risks of driving your customers crazy with complicated, confusing technology. Designing successful products and services in the digital age requires a multi-disciplinary team with expertise in interaction design, visual design, industrial design, and other disciplines. It also takes the ability to come up with the big ideas that make a desirable product or service, as well as the skill and perseverance to execute on the thousand small ideas that get your design into the hands of users. It requires expertise in project management, user research, and consensus-building. This comprehensive, full-color volume addresses all of these and more with detailed how-to information, real-life examples, and exercises. Topics include assembling a design team, planning and conducting user research, analyzing your data and turning it into personas, using scenarios to drive requirements definition and design, collaborating in design meetings, evaluating and iterating your design, and documenting finished design in a way that works for engineers and stakeholders alike.




Human-Centered Digitalization and Services


Book Description

This book provides a timely overview of the impacts of digitalization from the perspective of everyday life, and argues that one central issue in digitalization is the development of new types of services that digitalization enables, but which are often overlooked due to the focus on new technologies and devices. The book summarizes the past 20 years of research into the relationship between information and communications technology (ICT) and service innovation, and reveals that the ongoing digitalization is a qualitatively different phenomenon and represents a true paradigm shift. The all-encompassing integration and distribution of data raises critical issues such as preserving human dignity and individual autonomy; moreover, interaction practices that foster broad participation, trust, learning, and a willingness to share knowledge are called for. Citizen empowerment and multi-actor co-creation have become central to using digitalization to support the development of wellbeing and sustainability. Further, the book shows how employees and professionals can and should be involved in designing their future work, and in evaluating it. Proactiveness and participation in innovation endeavours are ways to guarantee meaningful work in an age of socio-technical transition. The book employs a variety of theoretical approaches and perspectives from diverse disciplines to illustrate these needs. In addition to theoretical analyses, some specific application areas are examined, e.g. services in health and social care, and problems linked to robots in elderly care. Given its scope, the book is highly recommended to all readers seeking an overview of the current understanding of the human side of digitalization and searching for concrete cases from different countries to illustrate the topic.




Human-Centered Communication


Book Description

Wall Street Journal Bestseller DIGITAL POLLUTION IS THE PROBLEM. HUMAN-CENTERED COMMUNICATION IS THE SOLUTION. We’re spending more time than ever in virtual environments. That will only increase, as will the amount of noise we encounter there. The seemingly endless series of unwelcome digital distractions range from frustrating to dangerous. As individuals and businesses, we not only spend time and energy managing this digital pollution, we often create it. At risk are relationships and revenue. The only viable way forward is to be more thoughtful, intentional, and personal. Human-Centered Communication provides a philosophy and practice to help you connect in more meaningful and effective ways with prospects, customers, team members, and every stakeholder in your success. Learn to: Break through the noise and earn attention Build trust and create engagement Enhance your reputation with both people and algorithms The concepts and models in this book apply to any form or channel of communication, but human centricity favors video. More visual and emotional than faceless digital communication, video enhances tone, intent, subtlety, nuance, and meaning. Learn to be clearer and more confident on camera in live video calls, meetings, and presentations, as well as in recorded video emails, social messages, and text messages. The authors of the bestselling Rehumanize Your Business join with eleven industry-leading experts from companies like Salesforce, HubSpot, and RE/MAX to lead the growing conversation on leveraging human strengths in an increasingly digital world. The brightest future is tech-enabled, but authors Ethan Beute and Stephen Pacinelli show that it’s also human-centered. The experts studied, interviewed, and featured: Jacco van der Kooij, Founder of Winning by Design Dan Hill, PhD, President of Sensory Logic Mathew Sweezey, Director of Market Strategy at Salesforce Julie Hansen, Creator of the Selling on Video Master Class Adam Contos, CEO of RE/MAX Lauren Bailey, Founder and President of Factor 8 and #GirlsClub Mario Martinez Jr, Founder and CEO of Vengreso Viveka von Rosen, Cofounder and Chief Visibility Officer at Vengreso Shep Hyken, Customer Service and Customer Experience Expert Morgan J Ingram, Director of Sales Execution at JB Sales Training Dan Tyre, sales executive and founding team member at HubSpot Among the themes addressed: Trust and relationships Communication and connection Service and value Text and video Noise and pollution Among the types of videos in which you’ll become more confident and effective: Live, synchronous video meetings Recorded, asynchronous video messages Video calls and video presentations Video in emails and text messages Video in social feeds and social messages Video for specific individuals and large groups Video for known audiences and anonymous masses Video for prospects, customers, employees, and other stakeholders For immediate benefits and for long-term reputation, now is the time to get ahead of and stay ahead of ever-increasing digital noise and pollution - with Human-Centered Communication.




Human-Centered Artificial Intelligence


Book Description

Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As human-centered AI aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, this book is an ideal update on the latest advances. Presents extensive research on human-centered AI technology Provides different methods and techniques used to investigate human-AI interaction Discusses open questions and challenges in trust within human-centered AI Explores how human-centered AI changes and operates in human-machine interactions




Human Centered Tools for Analyzing Online Social Data


Book Description

In the social sciences, researchers are increasingly turning to datasets collected from social media, online chat, forums, and email to address questions about human communication and behavior. However, these datasets are notoriously difficult to work with. Social media and online communication datasets push the limits of traditional research methods, force researchers to learn an array of new data science skills, and limit open and equitable participation in this important new research area. While this problem has many sides, one of the most significant challenges is a dearth of technological support for online social datasets and mixed methods data analysis processes. Many researchers in this area have to create custom scripts and software for gathering, analyzing, and visualizing their data. Solving this problem depends on understanding the data analysis processes and practices of social scientists working with online social data. In this dissertation, I present an ethnographic interview-based study on the work practices of researchers applying mixed methods to social media data, in order to better understand their data collection and analysis processes and generate implications for design. Even with a good understanding of how social scientists work with data, significant questions remain about how to design helpful software. Based on a year-long engagement with a research group studying emotion in a large chat dataset, I discuss the implications of applying machine learning technology to “amplify” and scale up qualitative analysis from a small manually-coded set to the full corpus. Finally, I discuss two human-centered design projects focused on supporting aspects of the data analysis process: visual exploration of Twitter data, and collaborative qualitative coding of chat messages. This dissertation offers a descriptive understanding of how social scientists actually work with complex social media and online communication datasets, implications for designing better machine learning, visual analytics, and qualitative analysis software, and several open-source tools for analyzing online social data.