The body is not consulted afterwards

Stand beside a table and notice the cup near its edge. You can report its colour, estimate its distance and name its shape. But before any of those judgements, the cup is already graspable from here, awkward from there, and unreachable without leaning from somewhere else. Its position is not only a coordinate. It is organised around a body with a certain reach, posture, balance and history of skill.

Merleau-Ponty’s target was a shared assumption in empiricist and intellectualist pictures of perception. One picture builds experience from sensory pieces. The other lets a judging mind organise those pieces. Both can leave the body as an object whose contribution is added after a world has already been constituted. In Phenomenology of Perception, he instead treats bodily motility as an operative way of being directed towards a situation. The body’s practical directedness is not a verbal intention such as “I shall now reach”. It is the background organisation that lets the cup solicit a reach at all.12

A spatial situation is more than a position

Imagine two descriptions of the same kitchen. The first is a surveyor’s plan. It places the cup at coordinate (2.1, 0.8), the counter 92 centimetres above the floor and the doorway 1.4 metres behind the observer. The second description begins from a seated person holding a hot pan. The cup is within the free hand’s reach, the counter is too high for a safe transfer, and the doorway lies behind a turn that the occupied arm makes awkward. The coordinate map is unchanged, but the practical world is not.

Merleau-Ponty’s point is not that metric space is false. It is that metric description abstracts from a more primitive spatiality of situation. Up and down, near and far, open and blocked are first organised around posture, orientation and possible movement. A body supplies a practical origin without needing to appear as a labelled origin on an inner map. When a person automatically ducks beneath a beam or shifts a load before entering a narrow passage, the adjustment can precede any reportable estimate of height or clearance.

This gives the paper a precise causal demand. A system counts as bodily oriented only if changing its current powers reorganises what the same scene makes possible. A database may contain perfect dimensions for the body and kitchen yet remain causally inert. A planner may query those dimensions only after a goal has been symbolically specified. Orientation is present when bodily capacity already shapes the candidate actions that reach deliberation. The substitution study therefore looks upstream of explicit choice, at the changing field from which choices are drawn.

An affordance field curved around a moving body A walking body is surrounded by irregular contours marking immediate reach, passability with adjustment, and actions outside current capacity. A cup, doorway and step occupy different positions in this body-relative field. graspable now passable only with turn step exceeds current stride outside the current “I can” possible with reorganisation immediate action field The field moves with posture, skill, fatigue, tools and morphology.
The world as a body-relative field. The same object can remain metrically fixed while moving between immediate, effortful and unavailable action regions. The figure depicts the paper’s core mechanism, not a neural map. Illustrative.

Four bodies that should not be collapsed

Discussion becomes confused because “the body” can refer to at least four different things. A body-object has measurable dimensions and forces. A body image includes perceptual, conceptual and affective attitudes towards one’s body. In much contemporary cognitive science, a body schema denotes sensorimotor organisations used to guide action, although the term covers several models and its boundaries remain disputed.10 The body-subject is broader. It names the first-person bodily orientation through which a situation has practical sense.

Habit is a changed availability, not only a stored rule

Consider learning to type without looking at the keyboard. A novice remembers letters, searches for keys and issues one finger command at a time. With practice, a word can become a single directed movement whose details recede from attention. The keyboard has not moved and the fingers have not acquired new joints. What changed is the immediate organisation of possible action. Some sequences now arrive as available wholes, while an unfamiliar shortcut still interrupts the flow.

Merleau-Ponty treats habit as a bodily acquisition because skill alters the range of what can be done directly. This does not require a mystical memory in the muscles. Neural plasticity, predictive control and learned policies may all contribute. The phenomenological point concerns how the acquisition is lived: the skilled person does not normally calculate a route through joint space and then execute it. The route has become one of the body’s practical powers. Replace the keyboard layout without warning and this history becomes visible through systematic errors, rapid correction and after-effects when the old layout returns.

The same logic applies to a mobility aid, a vehicle or a remote manipulator. Mere possession does not integrate the tool. Integration is shown when distances, clearances and reachable futures are recalibrated around the coupled body-tool system. That criterion is demanding enough to test, yet modest enough to avoid claiming that every learned controller instantiates a lived body.

The body-object lists measurable dimensions. The body-subject occupies the centre as the practical orientation of a situation. Body image and body schema list perceptual, conceptual and sensorimotor constructs. The figure warns that these descriptions overlap without being identical.

One body, four explanatory roles. Neural or computational body schemas may help implement bodily orientation, but no single schema automatically exhausts the phenomenological body-subject. Practitioner synthesis.

What disappears when proprioception disappears

Most people can close their eyes and bring a finger towards the nose because limb position is available without visual inspection. Proprioceptive signals contribute to position, movement and force sense, and to online correction.12 Severe deafferentation makes the normally tacit contribution visible. The well-documented subject Ian Waterman lost major touch and proprioceptive inputs below the neck while retaining motor output. He learned to move by visually monitoring and deliberately controlling his body. Movement remained possible, but it demanded sustained attention and compensation.11

The case does not show that an intact body schema is unconscious in one neat module and a body image consciously replaces it. The empirical taxonomy is messier. It does show why the body-subject cannot be reduced to a list of dimensions known explicitly. When a normally available bodily orientation is disrupted, an intelligent person can reconstruct action through effortful strategies. Explicit knowledge can compensate for orientation without becoming equivalent to it.

The argument in one pass
Chart · flow
flowchart TD
  A["The doorway did not move"] --> B["The body is not consulted<br/>afterwards"]
  B --> C["Orientation is a calibration<br/>problem"]
  C --> D["The substitution test"]
  D -. "re-test" .-> A
  classDef first fill:#0a1424,stroke:#D95545,stroke-width:2px,color:#e6f3ff
  classDef step fill:#0a1424,stroke:#3f7da0,stroke-width:1px,color:#e6f3ff
  class A first
  class B,C,D step
A structural route through Merleau-Ponty and the body-subject: from The doorway did not move to Continue through the canon. Reading use: follow the relation, then return to the surrounding argument for evidence and limits.

Orientation is a calibration problem

A doorway does not afford passage in isolation. Passage belongs to a relation among opening width, shoulder profile, compressibility, gait, load, speed, confidence and the cost of collision. James Gibson’s ecological psychology made such relations central through the concept of affordance.3 Classic experiments showed that stair-climbing and aperture decisions can be organised by body-scaled information rather than by absolute centimetres alone.45

Body scaling is only a start. Two people with equal shoulder width can differ in how much they rotate, compress, hesitate or recover from contact. Even one person varies across trials. A useful action boundary is therefore not always a hard line. Franchak and Adolph propose treating an affordance as a probability-of-success function, which separates the point of transition from variability around it.7

P(success | r) = 1 / (1 + exp[-k(r - θ)]) r is an environment-to-body ratio, θ is the calibrated transition point, and k controls how sharply success changes around that point. The equation assumes other conditions are held stable. Remove that assumption and θ must vary with posture, fatigue, load, surface and risk policy.

This equation is not a theory of lived experience. It is a compact way to expose the mechanism. The body changes the denominator. Practice changes the calibrated threshold. Uncertainty changes the slope. Decision cost changes where the agent chooses to act. The body does more than add data to a completed perception; it helps determine which environmental differences are action-relevant.

Causal intervention on morphology and calibration A baseline body and doorway lead to calibrated passage. An intervention widens the body. One branch keeps a stale body relation and produces late turns and collisions. A second branch uses sensorimotor prediction error to update the action boundary and recover. Baseline body calibrated pass body +30% world held fixed Stale relation old turn threshold late correction collision or overconfidence Closed calibration loop prediction error updated body-relative boundary Solid paths indicate executed coupling. The dotted branch indicates a stale or shortcut process exposed by intervention.
The body substitution is the causal intervention. Holding the external scene fixed while changing morphology isolates whether the action boundary is actually coupled to the body. Proposed experiment.

Calibration turns a body into an orientation

Calibration is the relation between information and the action system that uses it. A driver can see optical expansion yet brake too late if expansion is miscalibrated to current vehicle dynamics. A person can see a doorway accurately yet turn too late after a sudden change in body width. Fajen argues that successful visually guided action requires learning information about boundaries between possible and impossible actions, rather than only detecting optical variables.6

Recalibration is selective. Franchak found that exploration sufficient for one fitting task did not automatically recalibrate another. Participants needed action practice or feedback relevant to squeezing through doorways.8 Later work showed that the rate of recalibration depends on feedback conditions.9 This specificity matters. If any motor activity updated every action boundary equally, “orientation” would be another name for generic learning. Instead, the system must discover which bodily and environmental variables jointly govern the task.

Tools reveal plasticity without proving incorporation

Tool use offers a natural body substitution. In macaques trained to retrieve objects with a rake, Iriki and colleagues reported changes in bimodal neuronal receptive fields that extended along the tool or into the newly accessible space.13 Human tool-use studies have also reported changes in subsequent free-hand movement kinematics consistent with an updated arm representation.14

These findings support plastic action-oriented body coding. They do not show that the rake literally became phenomenological flesh, that ownership was transferred, or that one cortical field is the body-subject. The rubber-hand illusion makes the distinction even clearer. Synchronous vision and touch can shift reported ownership and felt location towards an artificial hand.15 Yet ownership reports and motor measures can dissociate. Body schema, body image, ownership and body-subject are related evidence streams, not interchangeable labels.

Trajectory of calibration across tool substitution A horizontal trial timeline shows stable baseline, a sudden tool extension, an error spike, exploration-driven recovery, partial transfer to a new task and a smaller after-effect when the tool is removed. orientation error trial sequence baseline change explore + update transfer washout old action boundary fails recalibrated partial transfer after-effect
The signature is a trajectory, not a final score. Error at substitution, recovery with relevant feedback, task-specific transfer and washout after-effects reveal how an action boundary is calibrated. Values are schematic. Illustrative.

The strongest empirical objection

Some embodied-perception claims go further and say effort, intention or ability alters how spatial properties visually appear. That literature is contested. Firestone and Scholl argue that many proposed top-down effects can be explained by judgement, task demands, attention or low-level differences rather than a changed visual experience.17 The criticism should change the thesis, not be waved away.

The substitution test

How can we move from evocative examples to a discriminating experiment? Start by preserving the task and external world while substituting one causal property of the body or control loop. The intervention might widen a participant, extend a tool, alter a robot gripper, add actuator lag or remap a joystick. Then measure the full adaptation trajectory rather than final accuracy.

The proposed contribution is an embodiment-substitution study. Its unit of analysis is not the naked body and not the model alone. It is the configured loop containing morphology, sensors, action policy, feedback and the environmental task. The study compares systems that can reach the same endpoint through different mechanisms.

Four candidate mechanisms

A geometry-only classifier learns that apertures above 70 cm are passable. It can score well while body size stays fixed. A static body-scaled controller divides aperture width by a stored body width, which is better but fails if that stored value becomes stale. An adaptive orienting controller updates the body-relative boundary from prediction error. An explicit online re-planner receives or infers the new morphology and recomputes its model. The last two may show similar behaviour even though one is described as embodied calibration and the other as model-based estimation.

This is not a defect. It marks the experiment’s proper conclusion. The test can identify adaptive orientational function; it cannot prove that the implementation is non-representational. Further interventions are needed to separate candidate algorithms.

Probabilistic doorway example before and after body substitution Two logistic curves show predicted probability of passage against aperture-to-body ratio. The same 72 centimetre doorway lies at a high-success ratio for a 46 centimetre body and a low-success ratio for a 60 centimetre widened body. aperture width ÷ effective body width probability of passing without contact 0.25.50.751 1.01.21.41.61.8 calibrated old body wider body relation same 72 cm doorway ratio moves from 1.57 to 1.20 synthetic P(success): .98 to .35 Illustrative logistic curves use θ = 1.25 and k = 12 to expose the mechanism; they are not fitted human data.
A metric constant can become an action discontinuity. The example converts one unchanged doorway into two different success distributions by altering only effective body width. Synthetic worked example.
orientation_gap(t) = meanₓ | P̂(success | x, body_estimateₜ) − P(success | x, body_trueₜ) | The mean is taken over a controlled set of environments x. A useful report includes the peak gap after substitution, trials to recover, residual gap, transfer to a new task and after-effect when the original body returns.
System boundary for orientational embodiment A circular closed loop connects world, sensors, body-state estimation, affordance calibration, action policy and effectors. An explicit planner sits above the loop and receives action possibilities. The configured orienting system boundary encloses body and environment coupling rather than the model alone. configured orienting system body-relative action field P(success | here, now) explicitplanner worldsurfaces, objects sensorsvision, touch, state effectorsmovement + contact body statemorphology, capacity planner receives already oriented options Move the boundary inward and embodiment becomes a model property; move it outward and the live world becomes constitutive of control.
Test the configured loop, not the model in isolation. Bodily orientation depends on how world state, morphology, sensing, action and feedback constrain one another over time. Proposed system boundary.

A protocol that forces mechanisms apart

The baseline phase estimates each system’s action boundary and variability. The substitution phase changes one bodily property without changing the world. The exploration phase controls what feedback is available. The transfer phase changes the task while preserving the altered body. The washout phase restores the original body. A strong protocol also masks obvious visual identifiers, randomises trial order and includes a matched no-change condition.

The outputs are not just success and failure. Measure when the system initiates a turn, how much clearance it leaves, whether it abstains, how prediction confidence changes, and how quickly the internal or behavioural boundary moves. For a robot, log the body-state estimate, policy proposal, action, contact event and readback. For a human, combine action measures with confidence and carefully worded experience reports. Keep those evidence types separate.

Adversarial path exposing a shortcut Two theatre-like paths compare a shortcut controller that recognises a visible tool marker with a sensorimotor controller that updates from action consequences. Masking the marker breaks the shortcut while the live feedback path recovers. Path A: cue-based mimic Path B: live orienting loop visible tool ID“wide gripper” lookup ruleturn at 78 cm correct actionin familiar trials mask cue action attemptprediction + contact mismatch signalexpected ≠ observed boundary updatetask-specific Adversarial condition: tool appearance is randomised while morphology and dynamics are independently changed. A controller earns orientational evidence only when adaptation tracks consequences, not a correlated label.
Correct behaviour can be generated by the wrong cause. Cue masking and independent body changes are needed to prevent a classifier from imitating calibrated orientation. Adversarial test design.
How the claim changes under pressure
Chart · state
stateDiagram-v2
  [*] --> Claim
  state "A spatial situation is more<br/>than a position" as Claim
  state "Four bodies that should not be<br/>collapsed" as Test
  state "Habit is a changed<br/>availability, not only a<br/>stored rule" as Revision
  Claim --> Test: expose mechanism
  Test --> Decision: evidence survives
  Test --> Revision: rival survives
  Revision --> Claim: narrow or rebuild
  Decision --> [*]
The revision loop begins with A spatial situation is more than a… and keeps counterexamples inside the reasoning path. Reading use: follow the relation, then return to the surrounding argument for evidence and limits.

Run the embodiment-substitution lab

The interactive lab below turns the argument into a synthetic experiment. It compares three controllers across baseline, an unannounced body change and washout. The stale controller never updates its body estimate. The adaptive controller updates from delayed, noisy feedback. The oracle re-planner receives the true body scale immediately. Each controller encounters the same generated apertures.

The chart reports orientation gap, defined as the absolute difference between predicted and true probability of success, averaged over controlled apertures. A positive result is not “the adaptive line is low”. The informative pattern is an error spike at substitution, recovery governed by feedback quality and adaptation rate, plus an after-effect when the old body returns. The oracle is a rival mechanism: it can perform well without a gradual sensorimotor trajectory.

Embodiment-substitution lab

Change morphology, feedback and loop timing. The simulation uses synthetic data and a seeded random generator.

Executable in this page

Stale controller

0.00

Peak post-change gap. No recovery is expected unless the world happens to make the stale rule harmless.

Adaptive controller

0 trials

Trials to halve the initial substitution gap. “Not reached” means feedback was insufficient.

Washout after-effect

0.00

Adaptive gap immediately after the original body returns.

Ready. Baseline trials 1–15, substituted body 16–55, original body restored 56–80.

An executable test of orientational adaptation. The lab exposes which assumptions create transient error, recovery and washout. It does not simulate consciousness or ownership. Synthetic simulation.

What the lab assumes

The environment is reduced to aperture ratios. True success follows a logistic curve. The adaptive controller has one latent estimate of body scale. Feedback quality, latency and noise determine how rapidly that estimate approaches the altered body. Real bodies violate every simplification: morphology is multidimensional, control is hierarchical, exploration is strategic, contact changes the world and goals alter acceptable risk.

Those simplifications are useful because they reveal the argument’s hidden commitments. If the body estimate is never used, substitution creates no structured gap. If the estimate is used but never updated, the gap persists. If the true scale is supplied as metadata, the oracle recovers without an error-driven trajectory. If delayed feedback weakens adaptation, the effective body includes temporal control, not just shape.

JavaScript · core update rule
function updateBodyEstimate(estimate, trueScale, options, randomNoise) {
  const latencyPenalty = Math.exp(-options.latencyMs / 300);
  const usableFeedback = options.feedbackQuality * latencyPenalty;
  const predictionError = trueScale - estimate;
  return estimate
    + options.adaptationRate * usableFeedback * predictionError
    + randomNoise * options.feedbackNoise;
}

Run the lab with high feedback and low latency. The adaptive controller should recover. Set feedback quality to zero and it should remain miscalibrated. Increase latency while keeping morphology fixed. Recovery slows because sensorimotor consequences arrive too late to be assigned cleanly. Make the body smaller rather than larger. The risk reverses: the stale controller becomes overly cautious instead of overconfident.

What a null result can and cannot mean

No recalibration after substitution does not have one interpretation. The altered property may be irrelevant to the chosen action. Feedback may be too weak, too delayed or too ambiguous to identify the change. The substitution may exceed the controller’s recoverable range, producing failure rather than learning. A cautious policy may already leave so much margin that the behavioural threshold barely moves. In a human study, novelty, discomfort or instruction may dominate the action relation. In a machine study, a frozen perception module may estimate the change correctly while an authority layer prevents policy updates.

A useful null therefore needs manipulation checks. Confirm that the body change altered true success near the baseline boundary. Confirm that the sensors could, in principle, detect relevant consequences. Include an oracle controller to show the task is solvable with the new body. Include a learning-positive control to show the adaptive mechanism can update under some condition. If all checks pass and the configured system still applies the old boundary, the result weakens the claim that bodily capacity shapes action online.

Positive adaptation is also insufficient on its own. A controller may infer the trial block from a sound, colour or operator routine. It may retrieve a pre-trained policy for the substitute body. It may receive the true morphology through hidden metadata. Randomise those cues, introduce novel intermediate changes and compare recovery under feedback ablation. The evidential target is not improvement after a change; it is improvement caused by the live body-world relation the thesis names.

A field protocol for humans or machines

Choose an action with a measurable boundary, such as passage, reach, grasp, braking or safe turning. Estimate a baseline success function across controlled environmental values. Substitute one bodily property without announcing the trial boundary. Make the change independent of visible labels. Provide different feedback conditions across groups or runs. Then test transfer and washout.

For humans, preregister whether the primary outcome is movement, judgement or experience report. For machines, version the controller, body configuration, sensor calibration, action policy and environment generator. Preserve trial-level receipts. In both cases, include a no-substitution control and an oracle condition. The oracle answers an important rival: perhaps the system needs accurate body data, not gradual sensorimotor calibration.

Observed pattern Static geometry or cue rule Adaptive orienting loop Strongest conclusion permitted
Immediate post-change error Possible if the learned rule is stale Expected when substitution is unannounced The old body-action relation no longer fits
Recovery depends on outcome feedback Not expected unless the rule itself learns online Expected, with rate tied to usable feedback Action consequences contribute to recalibration
After-effect when original body returns Weak unless state persists Expected if the updated relation has inertia A body-relative state was retained across trials
Transfer follows shared body relation May follow visual or semantic similarity instead Expected where tasks share control variables Calibration is structured, not wholly generic
Performance survives cue masking Shortcut is exposed Expected if live consequences remain available Behaviour is not explained by the masked cue
Ownership or first-person report Not addressed Not entailed Requires a separate evidential protocol
The embodiment-substitution evidence matrix. Each observation narrows mechanisms but stops before phenomenological or consciousness claims. Decision instrument.

Machines can pass the functional test without becoming body-subjects

Robotics already demonstrates parts of this programme. Bongard, Zykov and Lipson built a robot that used sensorimotor evidence to construct and update self-models, then adapted behaviour after damage.18 Robotics reviews collect many related uses of body-schema language for self-calibration, multisensory integration and control.19 More recent work has used egocentric vision and action sequences to predict robot dynamics across morphologies and to recover after hardware anomalies.20

These are significant engineering achievements. They show that a system can learn relations between its body, action and changing sensory consequences. They do not show that the system lives its body as a subject. The philosophical comparison preserves one relation: both cases make action possibilities depend on an embodied point of control. It breaks at first-person givenness, existential significance and the experienced unity of a situation. Functional orientation is a researchable bridge; phenomenological identity is not licensed by the bridge.

Optional depth: pre-registration fields for a substitution study
  • Candidate boundary: list model, runtime state, sensors, effectors, morphology and environmental feedback included in the system.
  • Intervention: name the single altered property and verify that external task geometry is held constant.
  • Primary outcome: select movement threshold, prediction gap, collision rate, abstention, confidence or report before data collection.
  • Rival generators: implement cue lookup, static body scaling and oracle parameter update.
  • Transfer test: specify the relation expected to generalise and a visually similar task where it should not.
  • Null policy: state whether no adaptation rejects the mechanism, indicates insufficient feedback or shows the task did not depend on the altered property.

Change the body and watch the action field recalibrate

When evaluating an embodied human-machine system, do not ask only whether it has cameras, limbs, a world model or a self-description. Ask what happens when its body changes while the world stays fixed. Does the system continue applying a learned geometric rule? Does an operator manually update a parameter? Does a live loop detect prediction error and recalibrate the field of possible action? Does that calibration transfer according to shared body-environment relations?

This changes both design and language. In design, place body-state estimation, feedback timing and affordance calibration inside the tested system boundary. Measure recovery trajectories and after-effects, not only endpoint performance. Build rival generators that can imitate correct behaviour through visible cues or oracle metadata. In language, stop treating every robot with a chassis as evidence for the lived body.

Merleau-Ponty’s body-subject is not an antique synonym for a kinematic model. It is a reminder that a world is encountered from somewhere, with powers and limits that already organise significance. Engineering cannot simply inherit the phenomenological conclusion. It can, however, isolate one of its causal demands: a body must continuously matter to what the system can do next.

Choose differently: before granting an architecture the stronger label “embodied intelligence”, require an unannounced body-substitution test with feedback manipulation, transfer, washout and a matched shortcut model. Passing supports adaptive bodily orientation. Failing means the body is still peripheral to the intelligence being claimed.