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How That Robot Made Me Feel: The Complete Emotional Guide

📄 269 pages 💾 1.51 MB ⬇️ 1 downloads 🏷️ Other IT Topics 🌐 English
Inside this PDF 8 chapters
  1. Emotion AI Deauthorization and Unfeeling
  2. Intentionality in Human–Robot Interaction
  3. Working with Nonhumanlike AI Colleagues
  4. Robots Modifying Human Emotions
  5. Emotional Labor in Robot Animal Caregiving
  6. Interactions Between Robots and Pets
  7. Failures in Human–Robot Relations
  8. Buddhist Models for Mindful Machines

About This PDF

How That Robot Made Me Feel explores the psychological and emotional dimensions of interacting with robots and artificial intelligence. This collection is aimed primarily at readers with intermediate understanding of human–robot interaction, social robotics, and affective computing. It covers key topics such as emotion AI and its challenges, the role of intentionality in robot interactions, and how emotions are modified and experienced in technologically mediated settings. The text also discusses interdisciplinary perspectives on caregiving robots, human–pet–robot dynamics, failure in robot relations, and culturally informed models of emotion in robotics.

What sets this resource apart is its approach to human emotions as lived experiences rather than abstract data points. The contributors present the material through examples and case studies grounded in both laboratory and everyday contexts. For instance, you’ll engage with analyses of emotion recognition software, ethical considerations in robot design, and empirical studies of robot pets bonding with humans and animals alike. Rather than focusing solely on technical specifications, the text encourages reflection on how robots impact human feelings, responsibility, and power relations across diverse social settings.

If you work in robotics, social science, caregiving, or AI development and want to improve your understanding of emotional responses in these fields, this book provides practical insights. You should have some familiarity with basic AI concepts and human factors research to fully benefit. By the end, you’ll be able to critically evaluate emotion AI technologies, design more empathic robotic interactions, and grasp culturally sensitive approaches to artificial emotions. This makes it valuable both for practitioners aiming to develop better robots and scholars investigating the human side of robotic technologies.

What You'll Learn

The introduction provides a philosophical and methodological framework around emotions in robotics, setting the stage for the detailed chapters. You will begin by exploring Emotion AI: Deauthorization and Minoritized Unfeeling, where you'll understand how AI reads and interprets human facial expressions, exposing the tensions between emotional display and genuine feeling. Following this, The Role of Intentionality in Human–Robot Interaction delves into the intentional stance robots might adopt or inspire, clarifying how agency or purpose attributed to machines shapes user emotions and responses. The chapter titled The Way Things Feel: Working with a Nonhumanlike AI Colleague in the Control Room offers a grounded case study, highlighting how interactions with non-anthropomorphic AI systems generate distinct affective experiences in professional contexts.

Intermediate topics deepen your grasp of emotion's social and ethical dimensions in robotics. Through Robots Playing with Emotions: Commodifying Human Emotions, you’ll examine techniques by which robots influence or mediate emotional labor, particularly how they can alter human feelings intentionally or inadvertently. Robot Animals and the Emotional Labor of Caregivers addresses emotional caregiving roles robots fulfill in healthcare or elderly support, focusing on the emotional toll and labor dynamics for humans interacting with robotic companions. Building on this, Robot Meets Pets presents empirical findings around human and animal interactions with robot pets, demonstrating how these hybrid relationships can foster empathy, attachment, or even confusion, as seen in detailed observations and TikTok video case studies.

Advanced chapters take a critical and reflexive stance on failures and complexities in human–robot emotional relations. The Imperfectly Relatable Robot: An Interdisciplinary Approach to Failures in Human–Robot Relations explores how misunderstandings and technical limitations affect emotional connections, teaching you to identify and analyze breakdowns in robot-human interactions. The Difference Between You and Me(chanical) Robot offers deeply personal and introspective accounts of emotional responses over time, illustrating how feelings evolve through direct engagement and reflection. To round out the professional perspective, Mindful Machines: Buddhist Models of Emotion for Human–Robot Flourishing introduces alternative frameworks from Buddhist philosophy, providing culturally nuanced models of emotions that challenge Western-centric views and encourage contextual sensitivity in robot design.

Throughout the volume, careful attention is paid to bridging theoretical insights and applied knowledge. You will encounter real experimental methods, such as affective computing algorithms, as well as social science approaches like ethnography and introspection. The book also includes richly annotated bibliographies for further study and encourages a broad, interdisciplinary outlook. By integrating cognitive science, philosophy, technical robotics, and cultural studies, it offers a unique, layered understanding of what robots make us feel—and how those feelings can be shaped thoughtfully.

Who Should Download This PDF

  • Basic familiarity with AI concepts including machine learning and affective computing.
  • Introductory knowledge of cognitive science or psychology theories of emotion.
  • Comfort reading empirical social science methods such as ethnography and interviews.
  • Familiarity with human factors research or human–computer interaction practices is helpful.

Beginners

If you are new to the study of human–robot emotional interactions, this PDF welcomes you while recommending foundational knowledge in AI or cognitive science to fully engage with several analyses. The text remains accessible, offering clear explanations of core concepts, but readers will gain the most from its case studies and methods sections if they already understand basic machine learning terminology and psychology of emotion frameworks. You will develop an informed perspective on how robots evoke, reflect, and transform human feelings in everyday contexts as you build toward intermediate competence.

Intermediate Learners

This PDF suits readers who already have foundational knowledge in robotics, human–computer interaction, or social psychology and want to fill critical gaps in interdisciplinary perspectives. It offers nuanced insights into the embodied affective relations between humans and robots, challenges technical assumptions about emotion recognition, and explores ethical questions around robot care work. You will explore topics like affective failures in robot design, the cultural framing of emotional responses, and new conceptualizations of empathy involving nonhuman agents.

Professional Development

Experienced practitioners in AI development, robotics design, or human–robot interaction will benefit from this PDF through its critical lens on emotional engagement with robots in practical settings. It offers concrete cases about designing social robots for caregiving contexts, measuring and interpreting human affect beyond physiological metrics, and understanding power dynamics embedded in robot deployment. This knowledge supports professionals aiming to create ethical, emotionally intelligent robotics systems that foster trustworthy human–machine relationships.

Download Your Free PDF Today

This PDF offers a distinctive exploration of how robots evoke complex emotional responses, blending personal narrative with critical theory and empirical investigation. Unlike other robotics resources that focus mainly on technical specifications or usability, this volume sheds light on nuanced human experiences and ethical considerations that arise in real-world encounters with robots. Topics examined include how failures in robot interactions reveal sociocultural vulnerabilities, the ethical challenges in deploying caregiving robots, and contested boundaries between artificial and natural emotional expressions. Tools and approaches discussed include AI-driven affect recognition technologies, ethnographic methods analyzing robot use in the wild, and design reflections on robots as socio-technical actors embedded in power relations. The book includes reflective exercises and thematic journal entries that provide concrete methods for beginning applied projects and methodological integration with physiological data interpretation.

File details

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Author
Ericka Johnson
Subject
Other IT Topics
Pages
269
File size
1.51 MB
Downloads
1
Format
PDF · English
Licence
Free for personal & educational use
Last updated

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