Human-machine interaction

Part: Computer Science · Chapter: Human-machine interaction · Edition: 2026-07-12
Keywords: HCI, HRI, usability, affordance, XR, affective computing
Glossary: affordance, usability, mental model, uncanny valley — see GLOSSARY

At a glance

HMI studies interaction between people and computational systems.
Affordances, mental models, and cognitive load structure design.
HRI and XR extend the field beyond screens.

Online references (live)

Offline snapshots (link-rot shield)

Offline snapshot omitted in this web edition. Offline snapshot · Human–computer interaction · https://en.wikipedia.org/wiki/Human%E2%80%93computer_interaction · retrieved 2026-07-12

Human–computer interaction

Offline snapshot omitted in this web edition. Offline snapshot · Usability · https://en.wikipedia.org/wiki/Usability · retrieved 2026-07-12

Usability

Offline snapshot omitted in this web edition. Offline snapshot · Uncanny valley · https://en.wikipedia.org/wiki/Uncanny_valley · retrieved 2026-07-12

Uncanny valley

Offline snapshot omitted in this web edition.

Human-Computer Interaction (HCI) and Human-Machine Interaction (HMI)

A convergence of psychology, design, computer science, and ergonomics. In 2026, the field has moved beyond screens into Ambient Intelligence, Brain-Computer Interfaces, and Emotional AI.

1. Foundational Theory and Psychology

The cognitive science behind how humans perceive and process machine feedback.

Affordances and Signifiers: Objects that suggest their own use (Norman’s Principles).
Mental Models: The user’s internal map of how a system works.
Fitts’s Law: Mathematical model of human movement (predicting time to hit a target).
Hick’s Law: The time it takes to make a decision based on the number of choices.
Cognitive Load Theory: Managing “intrinsic,” “extraneous,” and “germane” load.
The Gulf of Execution and Evaluation: The gap between a user’s goal and their understanding of the system’s state.

2. Interaction Modalities and Interfaces

How information is physically exchanged.

Graphical User Interfaces (GUI): Windows, Icons, Menus, Pointers (WIMP).
Natural User Interfaces (NUI): Touch, Gesture (Computer Vision), and Voice (VUI).
Tangible User Interfaces (TUI): Physical objects as input/output for digital data.
Haptic Interfaces: Tactile feedback, force feedback, and mid-air haptics (ultrasound).
Brain-Computer Interfaces (BCI): Non-invasive (EEG) vs. invasive (Neuralink) signal processing.
Oculography (Eye Tracking): Gaze-based interaction and heat-mapping.

3. User-Centered Design (UCD) Process

The methodology for creating usable systems.

Requirement Analysis: Personas, User Stories, and Scenario building.
Prototyping: Low-fidelity (wireframes) vs. High-fidelity (interactive mocks).
User Research: Ethnography, Contextual Inquiry, and A/B Testing.
Evaluation Metrics:
Usability Testing: Error rates, time-on-task, and task completion.
Heuristic Evaluation: Nielsen’s 10 Usability Heuristics.
System Usability Scale (SUS): Standardized Likert-scale questionnaires.

4. Human-Robot Interaction (HRI)

Social and physical interaction with autonomous agents.

Social Robotics: Non-verbal cues, joint attention, and social presence.
The Uncanny Valley: The dip in human affinity for robots that look “almost” human.
Collaborative Robots (Cobots): Safety protocols for human-robot shared workspaces.
Teleoperation: Low-latency feedback and “Presence” in remote robotics.
Proxemics in HRI: The study of spatial distance between humans and robots.

5. Extended Reality (XR)

Virtual Reality (VR): Immersion, Presence, and Cybersickness (Vestibulo-ocular conflict).
Augmented Reality (AR): Spatial mapping, SLAM (Simultaneous Localization and Mapping), and HUDs.
Mixed Reality (MR): Occlusion and interaction between digital and physical objects.
Spatial Computing: 3D audio, hand tracking, and eye-gaze navigation.

Affective Computing: Systems that recognize, interpret, and simulate human emotions.
Sentiment Analysis: Using AI to gauge user mood through text or voice tone.
Computer-Supported Cooperative Work (CSCW): Synchronous vs. Asynchronous collaboration tools.
Dark Patterns: Deceptive UX design intended to manipulate user behavior.

7. Accessibility and Universal Design

Assistive Technology: Screen readers, alternative input (sip-and-puff), and braille displays.
WCAG (Web Content Accessibility Guidelines): Perceivable, Operable, Understandable, Robust (POUR).
Multimodal Interaction: Using multiple senses (sight + sound + touch) to ensure accessibility.
Neurodiversity in Design: Interfaces optimized for ADHD, Autism, and Dyslexia.

8. Advanced HMI Frontiers (2026)

AI Explainability (XAI): Designing interfaces that explain why an AI made a decision.
Generative UI: Interfaces that reshape themselves in real-time based on user intent.
Ubiquitous/Ambient Computing: Technology integrated into the environment (Smart Dust, IoT).
Bio-Hybrid Interfaces: Using biological sensors (heart rate, skin conductance) for biofeedback loops.
Human-Autonomy Teaming (HAT): High-level coordination between humans and autonomous AI pilots/agents.

Key Theoretical Comparison

Concept	Focus	Goal
Usability	Efficiency and Errors	Ease of use
User Experience (UX)	Emotion and Feeling	Satisfaction and Delight
Accessibility	Inclusion	Universal access
Ergonomics	Physicality	Safety and comfort

Exploratory section

“Computers are built from information constructs. They can be rudimentary such as a single book page, or they can go further with blocks (posts) and its connections (comments/threads/messages). People are connected together through social graphs as its network representation. Relevance is measured with screen time and engagement (likes). Reach is limited by marketing campaigns.”

Human-Machine Interaction (HMI), also commonly referred to as Human-Computer Interaction (HCI), is a multidisciplinary field that focuses on the design and use of computer technology, particularly the interfaces between people (users) and computers. It encompasses a wide range of study areas and topics. Some of the most relevant fields and topics in this domain include:

Cognitive Science and Psychology: Understanding how humans process information is crucial in designing interfaces that are intuitive and user-friendly. This includes studying topics like perception, memory, attention, and problem-solving.
Computer Science and Engineering: This involves the technical aspect of creating software and hardware interfaces. Topics include user interface design, responsive design, algorithm optimization, and system performance.
User Experience (UX) Design: UX design focuses on optimizing products for effective and enjoyable use. This field covers usability testing, interaction design, user-centered design principles, and creating user personas.
Human Factors and Ergonomics: This area looks at how to design products that fit the human body and its cognitive abilities, including the design of workstations, human-error reduction, and physical ergonomics.
Artificial Intelligence and Machine Learning: These technologies are increasingly used to enhance human-machine interaction, such as through the development of intelligent user interfaces, personalized experiences, and adaptive systems.
Social Computing and Social Media: Understanding the social dynamics and communication patterns in digital environments is key. This includes studying online communities, social networks, and collective intelligence.
Accessibility and Inclusive Design: This area focuses on designing systems that are accessible to all users, including those with disabilities. It involves understanding accessibility standards and creating inclusive and universal design practices.
Virtual Reality (VR) and Augmented Reality (AR): These emerging technologies create immersive user experiences, and studying their interaction patterns is a growing area within HCI.
Information Systems: This field studies how people interact with information technology, focusing on creating and managing systems that support business processes and decision making.
Ethics and Privacy in HCI: With the increasing prevalence of technology in everyday life, ethical considerations and privacy concerns are crucial. This includes studying data privacy, ethical design, and the societal impact of technology.

Each of these fields contributes to a holistic understanding of human-machine interaction, ensuring that technology is designed in a user-centric manner that is both efficient and satisfying for the end user.

7. Scientific summary (definitions)

Definition (Affordance). A relation between an agent’s capabilities and an object’s properties that makes an action possible (Norman / Gibson tradition).

Definition (Mental model). The user’s internal predictive model of system behaviour.

Definition (Usability). Effectiveness, efficiency, and satisfaction with which specified users achieve goals in a context (ISO 9241 family).

Claim. Design quality is measurable; aesthetic preference alone is not a complete evaluation.

Definitions and references

Formal definitions

Affordance — action possibility relative to an agent (Gibson; Norman).
Usability (ISO 9241) — effectiveness, efficiency, satisfaction in context.
Gulf of execution / evaluation — Norman’s gaps between goals and system state.

Full papers & standards

Norman, D. The Design of Everyday Things.
Nielsen, J. — 10 usability heuristics.
ISO 9241 series — ergonomics of human–system interaction.
Mori, M. (1970) — uncanny valley.
Seibt et al. (2020) — sociomorphing (see General chapter).
Part index: Computer science.