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2026-06-29 · 5 min

From Greeting to Command: What We Lose When Gestures Become Instructions

Gestures are cultural, situational, ambiguous. Machine-readable gestures are none of these things. What happens when the body becomes a controller?

inhumagestureinterfaces

A nod can mean agreement — or polite listening while you have long since thought otherwise. A raised index finger can be a warning, a request for attention, or a humorous aside. In Greece, a head tilt to the upper left means "yes," not "no." The gesture lives by ambiguity. It is a cultural, situational, richly relational sign.

When gestures become control commands for machines — through cameras, sensors, motion tracking — they must lose this ambiguity. A machine cannot interpret whether a head shake signalled agreement, refusal, or an involuntary twitch. It needs clarity. And so a quiet compulsion arises: we adapt our gestures to the machine, not the other way around.

The clarity trap

Gesture-based interfaces are still young, but they already show where the journey leads: the machine defines which gestures are permitted and how they must be executed. A thumb pointing upward is "like." Downward is "dislike." A finger-snap in the air is "play/pause." A circular hand motion is "volume up." What emerges here is a vocabulary of machine commands that only formally carries the name "gesture."

The anthropological weight of this becomes clear when you consider what is lost: the cultural coding, the individual variation, the situational nuance. A gesture is not only a message; it is also part of our identity. The Italian "mano a borsa" — pinched fingertips — is not an optimisable command but a cultural artefact with centuries of history.

Gestures as interfaces normalise our physicality to a machine-readable minimum. The body becomes a controller. And like every controller, it teaches us: there is a right way to hold it, and a wrong one.

Cultural gestures under pressure

What happens to the Greek "yes" when the machine reads it as "no"? What becomes of the Japanese bow — which expresses deep hierarchy and respect — when a Western-programmed gesture interface reads it merely as "lowering the head"?

inhuma's approach asks: who adapts to whom? With gesture, the answer is particularly clear. The global control vocabulary for gestures will most likely orient itself around Western — and specifically American — gestures, simply because the major technology companies are based there. What is conceived as universal control becomes cultural normalisation.

Once implemented, these norms spread through network effects. The device that understands the Greek gesture is more expensive or harder to find. So the Greek user learns to adapt their gestures. Not because the machine changed. But because they must, in order to remain part of the ecosystem.

The other side of accessibility

A frequently cited argument for gesture interfaces is accessibility. Sign language is a fully-fledged, grammatically complex language — and gesture interfaces might finally translate it into the digital world. This is a hopeful perspective, and inhuma does well to take it seriously.

But here too the other side appears. Sign language is not a universal sign language. German Sign Language (DGS) is fundamentally different from American Sign Language (ASL), and both differ from Chinese Sign Language (CSL). An interface that "understands" sign language usually understands only one — the one that was implemented. And which one that is, it is not the deaf community that decides, but the development team.

The same dynamic again: the technology promises participation, but this participation is conditional on adapting to a predetermined system. inhuma does not ask whether the technology works, but at what cost and on whose terms.

inhuma and the poetry of the gesture

The gesture is not a command. It can be a command, but it can also be a greeting, a curse, a blessing, a tenderness, an irony, a hesitation, or a game. A gesture interface that knows only one of these meanings reduces the gesture to its technically usable remainder.

inhuma reminds us that the question is not how we make gestures legible, but how we bear their ambiguity. A technology that cannot tolerate ambiguity is not progressive — it is narrow-minded. The poetry of the gesture lies not in its clarity, but in what it leaves open.

Who adapts to whom? With gesture, the answer is: we adapt. We normalise our bodies until they meet machine-readable formats. But the gesture that cannot be normalised — the fleeting, the ambiguous, the playful — is perhaps the most human thing about us.

inhuma would do well not only to optimise gestural control, but also to preserve a space in which gestures are not controlled. A space for the gesture that wants nothing, commands nothing, inputs nothing — but simply greets.