Foundations and Theories of Human-Machine Communication

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Delve into the origins, core concepts, and interdisciplinary foundations of human-machine communication, exploring how humans and machines interact, collaborate, and shape each other's agency. This course provides a comprehensive introduction to the theoretical and historical underpinnings of communication between people and intelligent technologies. This course examines the evolution and theoretical frameworks of human-machine communication, drawing from communication studies, cybernetics, artificial intelligence, and media theory. Learners will explore the history of HMC, the role of agency, the impact of AI and robotics, and the emergence of new paradigms in human-technology relations. By the end of the course, learners will understand the foundational concepts and interdisciplinary approaches that define the field, preparing them to critically analyze and engage with the complexities of human-machine interactions. Through a blend of expert-led readings, engaging video lectures, and knowledge checks, learners will build a strong conceptual foundation in human-machine communication. The course emphasizes critical thinking and interdisciplinary connections to help learners synthesize diverse perspectives. This course is part one of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on The Sage Handbook of Human–Machine Communication, by Andrea L. Guzman, Rhonda McEwen and Steve Jones. Copyright ©2023 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.

Syllabus

Machines are Us: An Excursion in the History of HMC
- This module explores the evolution of human-machine communication, focusing on how imagination and technology shape interaction. It examines emotional responses to AI, societal impacts of mobile devices, and collaborative human-machine art projects. Learners will gain insight into the theoretical and practical dimensions of human-machine collaboration.
The Interdisciplinarity of HMC: Rethinking Communication, Media, and Agency
- This module explores the interdisciplinary nature of human-machine communication (HMC) by re-examining foundational concepts in media and communication studies, such as communication, media, and agency. Learners will analyze how emerging technologies like AI and robots challenge traditional theories and require new scholarly frameworks. The module emphasizes the importance of interdisciplinary thinking in understanding modern communication dynamics.
Cybernetics and Information Theory in Human–Machine Communication
- This module explores the foundational concepts of cybernetics and information theory, their historical development, and their impact on human-machine communication. It covers how these theories shaped early AI and the blurring of boundaries between humans and machines. Learners will gain insight into the evolution and application of these principles in modern technology.
Cyborgs and Human–Machine Communication Configurations
- This module explores the concept of cyborgs as hybrid human-machine entities, examining how they intersect with technology, society, and sustainability. Learners will analyze socio-technical systems, interpret science fiction narratives, and evaluate the implications of human-machine communication on future societies.
The Meaning and Agency of Twenty-First-Century AI
- This module explores the evolution and societal impact of AI, examining its role in meaning-making, communication, and social construction. It introduces analytical frameworks like SCOT to evaluate AI's development and implications. Learners will gain a critical understanding of AI's ambiguity, hype, and practical applications.
The History and Future of Human–Robot Communication
- This module explores the evolution of human-robot communication, covering historical developments, current interactive technologies, and future possibilities. Learners will gain insight into how robots interpret human actions, the role of augmented reality, and the importance of theory of mind in human-robot interactions. The module equips students with the knowledge to design and evaluate collaborative robot systems.
From CASA to TIME: Machine as a Source of Media Effects
- This module explores how machines are increasingly seen as sources of communication, examining the psychological effects of media affordances and the evolving relationship between human and machine agency in AI-based interactions. Learners will gain insights into the theoretical frameworks that explain these dynamics and how they impact user perception and behavior.
Computer-Supported Cooperative Work (CSCW) and Human–Machine Communication (HMC)
- This module introduces the concepts of Computer-Supported Cooperative Work (CSCW) and Human-Machine Communication (HMC), exploring how these frameworks support collaboration and system design in group work environments. Learners will gain insights into the interdisciplinary nature of these fields and their practical applications in modern technology. The content emphasizes the role of human-computer interaction in enhancing group productivity and communication.
HMC and HCI: Cognates on a Journey
- This module explores the evolution and theoretical foundations of human-computer interaction (HCI), including design principles, interaction theories, and methods for creating inclusive and accessible interfaces. Learners will analyze the impact of frameworks like Actor-Network Theory and affordances on modern interface design. The module also investigates challenges in shifting toward more inclusive and ecological approaches in HCI.
Developing a Theory of Artificial Minds (ToAM) to Facilitate Meaningful Human–AI Communication
- This module explores the concept of Theory of Mind (ToM) in the context of human-AI interactions, examining how AI systems can develop social awareness and navigate complex social environments. It covers historical and philosophical perspectives, challenges to implementing ToAM, and the ethical implications of AI as social partners. Learners will gain a deeper understanding of the requirements for meaningful human-AI communication.
HMC and Theories of Human–Technology Relations
- This module explores theoretical frameworks for understanding human-technology interactions, including actor-network theory and object-oriented ontology. Learners will analyze how nonhuman entities and relational systems shape communication and social relations. The module equips students with critical thinking skills to evaluate these complex theoretical perspectives.
Philosophical Contexts and Consequences of Human–Machine Communication
- This module explores the philosophical dimensions of human-machine communication, examining topics such as agency, responsibility, and ethical implications. Learners will engage with key philosophical texts and concepts that challenge traditional views of communication and technology. The module provides a foundation for critically analyzing the moral and epistemological issues in AI and human interaction.
Critical and Cultural Approaches to Human–Machine Communication
- This module explores how human-machine communication is shaped by cultural, social, and ethical contexts. Learners will analyze how machines interact in real-world environments and examine the implications of technology on identity, privacy, and communication. The module equips students with critical frameworks to evaluate the role of technology in human interactions.
Gender and Identity in Human–Machine Communication
- This module explores the complex interplay between gender, identity, and communication in both human-to-human and human-machine interactions. It delves into how digital media and computer-mediated communication shape gender dynamics and social roles, while also examining the impact of technology on power structures and personal agency.
Literature and HMC: Poetry and/as the Machine
- This module explores the intersection of literature and human-machine communication through historical and contemporary examples, focusing on how poetic language and literary concepts have shaped and been shaped by technological developments. Learners will analyze the role of metaphors, explore early examples of human-machine dialogue, and consider how literature contributes to our understanding of technology.
Human–Machine Communities: How Online Computer Games Model the Future
- This module explores how human-machine communities form and function within online multiplayer games, examining social interactions, communication patterns, and the implications for future digital societies. Learners will analyze how players build relationships with both human and non-human entities in virtual spaces and understand the broader societal impact of these interactions.
Perfect Incommunicability: War and the Strategic Paradox of Human–Machine Communication
- This module examines the challenges of human-machine communication in military settings, focusing on the historical evolution, technical limitations, and strategic implications of battlefield communication. Learners will explore how technology influences decision-making in chaotic environments and analyze the development of modern multi-aircraft systems. The module highlights the critical role of signal clarity and coordination in warfare.
Human–Robot Interaction
- This module explores the complexities of human-robot interaction, focusing on communication dynamics, trust formation, and acceptance factors. Learners will gain insights into how humans perceive and engage with robots in various contexts, including societal, psychological, and technological dimensions.