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Foundations of Human-Computer Interaction

Designing for Cognitive Alignment

  • 1st Edition - May 15, 2026
  • Latest edition
  • Author: Robert Atkinson
  • Language: English

Foundations of Human-Computer Interaction: Designing for Cognitive Alignment reframes human-computer interaction (HCI), usability, and user-centered design by focusing on the co… Read more

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Description

Foundations of Human-Computer Interaction: Designing for Cognitive Alignment reframes human-computer interaction (HCI), usability, and user-centered design by focusing on the conditions under which cognition stabilizes over time. It provides an integrated account of HCI by bringing together cognitive science, neuroscience, and design principles to explain how systems shape perception, regulate attention, and support stable reasoning across repeated encounters. This approach ensures that graduate and undergraduate students not only understand core theoretical frameworks but also recognize how design decisions influence reasoning, decision-making, and cognitive effort in real-world contexts. The book emphasizes structured learning and iterative design processes, making the material accessible to both novices and advanced learners. It also addresses contemporary challenges such as AI-driven systems, adaptive interfaces, and large-scale personalization, offering a framework for understanding how misalignment emerges as instability—seen in repetition, delayed decisions, fragmented attention, and unresolved effort—and how design can support clarity, recovery, and trust in responsible ways

Key features

  • Repositions HCI beyond usability, introducing cognitive alignment as the problem of how cognition stabilizes—or fails to stabilize—over time
  • Reveals the behavioral infrastructure of interaction, showing how reinforcement, conditioning, and feedback loops shape persistence and action
  • Frames design as shaping cognitive and motivational conditions, where attention, emotion, and scaffolding support or disrupt stable reasoning
  • Recasts evaluation as breakdown and recovery analysis, focusing on how systems preserve clarity, confidence, and continuity in real-world use
  • Extends the framework to AI-driven and adaptive systems, showing how personalization and scale intensify instability and cognitive strain
  • Advances HCI as professional stewardship, introducing temporal accountability, predictive accountability, and cognitive sovereignty as core design obligations

Readership

Graduate students and undergraduates in human-computer interaction, computer science, informatics, psychology, and related disciplines.

Table of contents

Part 1: Cognitive Grounding: Architecture of Alignment

1. Foundations: From Usability to Cognitive Alignment

2. Conditioned by Design: The Behavioral Architecture of Digital Platforms

3. From Perception to Anticipation: The Cognitive Architecture of Interaction

4. From Networks to Regulation: The Neurobiological Architecture of Stability

Part 2: Designing for Cognitive and Emotional Alignment

5. Modeling Cognition: Thresholds for Alignment

6. Narrative Scaffolds: Designing for Continuity

7. Design Thinking: Sustaining Alignment under Uncertainty

8. Prototyping as Rehearsal for Alignment

Part 3: Evaluating Alignment in Practice

9. Expert Review: Early Safeguards for Alignment

10. Usability Testing: Anticipating Strain and Resilience

11. Quantitative Evidence: Signals of Alignment

12. Qualitative Evidence: Anchoring Meaning

Part 4: Governing Cognitive Contracts: Time, Prediction, Sovereignty, Stewardship

13. Temporal Accountability: Governing the Rhythms of Time

14. Predictive Accountability: Governing Futures

15. Cognitive Sovereignty: The Right to Reflection

16. Professional Stewardship: Sustaining Cognitive Alignment

Product details

  • Edition: 1
  • Latest edition
  • Published: May 15, 2026
  • Language: English

About the author

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Robert Atkinson

Dr Robert Atkinson is the Associate Professor of Computer Science in the School of Computing and Augmented Intelligence at Arizona State University, with a background in cognitive science, psychology, and neuroscience. His work focuses on the intersection of these fields with technology. He holds a PhD in Cognitive Science from the University of Wisconsin, and has published over 60 academic papers in peer-reviewed journals and conference proceedings across diverse fields, including computer science, psychology, data science, educational technology, human systems engineering, and informatics.

Affiliations and expertise
Arizona State University, Tempe, Arizona, USA