What are Affordances? — updated 2026

10 Examples of Affordances - The Boffins Portal

Affordance is a concept in design that refers to the possible actions or uses that an object or environment offers a user. It is the relationship between an object and the person using it and what the person perceives they can do with the object based on its physical characteristics. In other words, affordance is ... Read more

Affordance

In psychology, affordance is what the environment offers the individual. In design, affordance has a narrower meaning; it refers to possible actions that an actor can readily perceive.

Spatial Web Browsing

Adding spatial affordances to the experience of browsing the web

inFORM: dynamic physical affordances and constraints through shape and object actuation

We propose a new approach to Physical Telepresence, based on shared workspaces with the ability to capture and remotely render the shapes of people and objects. In this paper, we describe the concept of shape transmission, and propose interaction ...

MCP Research & Discussion Night · Luma

We're hosting a reading and discussion group for Anthropic's Model Context Protocol. We'll look at the fundamental protocol affordances, its consequences, and…

ICPA - ICPA 2026

Welcome to the 2026 International Conference on Perception and Action (ICPA). This year, we meet in Omaha, Nebraska, bringing the international ecological psychology community together in a setting that reflects a growing culture of research and innovation.ICPA brings together scholars from around the world who study perception and action as inseparable, mutually constraining processes grounded in organism–environment relations. The program features work spanning affordances, perceptual learning, coordination and control, development, social interaction, ecological design, and methodological innovation.The conference is designed to support sustained dialogue across theoretical, empirical, and applied perspectives—welcoming diverse viewpoints and participants from across institutions, disciplines, and countries. We invite you to join us for a week of scientific exchange and community building as we continue to advance ecological approaches to understanding behavior in real-world contexts.

Grounded world models in biological organisms and future embodied AI

Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data. However, the resulting systems remain largely based on passive training regimes where linguistic regularities create the scaffold onto which information from other modalities is attached. Conversely, neuroscience and cognitive science suggest that biological intelligence is organized in the opposite way, where grounded world models acquired through interaction with the environment provide the semantic scaffold to which language is attached. Here, we illustrate five examples of neural circuits supporting grounded world modelling, which underlie navigation in physical and conceptual spaces, affordance-based perception and interaction with objects, active perception and exploratory learning, allostatic control and emotion, and the distinction between self- and world-generated outcomes. These examples highlight several features largely missing from current embodied AI, including the role of intrinsic dynamics as a foundation for learning, the centrality of action in aligning these dynamics with the external world, the prominence of autonomous experience and open-ended learning over passive assimilation of externally provided data, and the fact that early predictive and control mechanisms scaffold higher cognitive abilities such as reasoning, conceptual navigation, planning, imagination, understanding others' minds, and communication. Finally, we discuss whether and how principles derived from biological systems may inform future embodied AI, including training regimes based on social interaction to construct world models that are not only grounded but also socially shared and aligned with human norms and values.

562 – Ecological Cognition III: Radical Embodied Cognitive Science (part 1)

562 Continuing the journey in understanding the Ecological approach to cognition by looking at Tony Chemero’s book: Radical Embodied Cognitive Science. Conceptualizing cognition in terms of agent-environment dynamics instead of computation and representation. What is RECS, and where did these ideas come from?Download link

Seven Sketches in Compositionality: An Invitation to Applied Category Theory

This book is an invitation to discover advanced topics in category theory through concrete, real-world examples. It aims to give a tour: a gentle, quick introduction to guide later exploration. The tour takes place over seven sketches, each pairing an evocative application, such as databases, electric circuits, or dynamical systems, with the exploration of a categorical structure, such as adjoint functors, enriched categories, or toposes. No prior knowledge of category theory is assumed. A feedback form for typos, comments, questions, and suggestions is available here: https://docs.google.com/document/d/160G9OFcP5DWT8Stn7TxdVx83DJnnf7d5GML0_FOD5Wg/edit

Alex Russell | Web Components and Model Driven Views | Fronteers 2011

There's a lot of tension between today's markup and the semantics we're trying to express in our apps. HTML5 adds a few new types to help describe common cases, but what about when there's no allegory in markup for what you're building? What we need now is infrastructure, not guilt about being "non-semantic". This talk explores new standards-track work in WebKit that's going to enable say-what-you-mean development in completely new ways.

Object-capability model

The object-capability model is a computer security model. A capability describes a transferable right to perform one (or more) operations on a given object. It can be obtained by the following combination:

Conceptual Models: The Hidden Structure Behind Your Next Great Interface

Discover the hidden structure behind every great UI. Master how to use conceptual models to design systems that users instantly understand and grow to trust.