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The Psychology of Technology

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The rapid advancements in technology, and our increasing interaction with it, have key implications for the field of psychology. The Psychology of Technology brings together research from different subdisciplines across psychology to address the ways in which technology and Big Data are changing how psychological research is conducted. It also examines how technology allows us to better understand human psychology. This text showcases cutting-edge research at the intersection of psychology and technology to provide an outlook into the future of psychological research in a tech-enabled world. The growing capabilities and reach of technology show no signs of abating, so it is critically important that psychology understand it and harness it effectively and ethically. Chapters offer fascinating and novel insights about the human condition using digital technologies as a window into human psychology, highlight the opportunities and challenges people face interacting with digital tech, and address the consequences of technology for individuals and societies. The intricacies of human-machine interaction, analyses of digital footprints, and "big data" approaches are investigated in detail.
Sandra Matz, PhD, is an assistant professor at Columbia Business School in New York City. She was a Visiting Professor of Marketing at University College Dublin, Visiting Researcher at the Stanford Graduate School of Business, and Visiting Researcher in the Department of Psychology at the University of Texas-Austin. She holds a PhD in psychology from the University of Cambridge (UK). Visit sandramatz.com, and follow @sandracmatz.
Foreword by Juliana Schroeder/Nate Fast Part I: Studying People in a Tech-Enabled World Chapter 1: Predicting Psychological Characteristics from Digital Footprints Michal Kosinski Chapter 2: Studying People in Context: The Promise of Mobile Sensing Gabriella Harari Chapter 3: Big Data as a Window into Human Mobility Sandrine Mueller and Clemens Stachl Chapter 4: Using Natural Language Processing to Study Well-being and Mental Health Maike Luhmann and Andy Schwartz Chapter 5: Studying Groups and Social Interactions using Network Analyses Ralf Woelfer and Miles Hewstone Part II: Man vs. Machine: Human Interaction with Technology Chapter 6: Computer-Robot Interaction Guy Hoffman Chapter 7: Algorithm Aversion Jenn Logg and Berkeley Dietvost Chapter 8: The Psychology of Virtual and Augmented Realities Jeremy Bailenson Part III: The Impact of Technology on Individuals and Society Chapter 9: Social Media and Well-being Amy Orben Chapter 10: Big Data in the Work Place Thomas Chamarro-Premuzic and Tara Behrend Chapter 11: Using Big Data to Inform Policy Kai Ruggeri Chapter 12: Rethinking Morality in the Age of Autonomous Technology Iyad Rahwan Chapter 13: The Impact of Technology on Human Cognition Adrian Ward Part IV: Conducting psychological research in the age of Big Data Chapter 14: Big Data Sources and Methodologies for Psychologists Heinrich Peters Chapter 15: The Future of Psychological Research: From Description to Prediction Tal Yarkoni Chapter 16: Big Data and Psychological Theory Wiebke Bleidorn and Chris Hopwood Chapter 17: Ethics in the Age of Big Data and New Technology Ruth Appel
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