Toys and puppets

The synactor did not emerge from nowhere. Its lineage runs through thousands of years of human fascination with constructed figures brought to life — dolls, automatons, marionettes, hand puppets, shadow puppets, mechanical toys. To understand where synactors come from, and what cultural expectations they carry, it is worth tracing that lineage with care. The questions that synthetic performance raises in 2026 — about the appearance of autonomous agency, about the projection of inner life onto constructed figures, about the conditions under which an audience chooses to believe that something without consciousness is conscious — were being asked, in different forms and with different tools, long before the first computer was built.

The puppet and the concealed intelligence

The puppet is perhaps the most direct ancestor of the synactor. In its most basic form, a puppet is a figure controlled by an external agent — the puppeteer — whose own presence is conventionally concealed or minimised so that the puppet appears to act under its own volition. This concealment of the controlling intelligence, and the willing suspension of disbelief it invites from the audience, is a fundamental condition of synthetic performance that persists into digital media. The player who engages emotionally with an NPC is performing the same act of imaginative projection as the child audience at a Punch and Judy show: choosing, in full knowledge that the figure is controlled, to accept the fiction of autonomous life.

The craft vocabulary of puppetry — developed across traditions as different as Bunraku, Wayang, Czechoslovak rod puppet theatre, and the Henson technique — is directly relevant to synactor performance in ways that practitioners in each field have not always recognised. Making a puppet appear to breathe: sustaining a very slight, rhythmic movement in the figure’s torso that signals the presence of a respiratory system and therefore of a living body. Making a puppet focus: the specific relationship between the puppet’s head position and the object or person it is attending to, which communicates the direction of its attention as precisely as an eye line in film. Managing weight and gravity in a figure that has none: the art of making a cloth and foam body appear to have mass, to resist movement, to respond to the physics of the world it inhabits.

The animatronics page addresses Jim Henson’s specific contribution in more detail. What is worth noting here is that the puppetry tradition has solved, through craft and practice, many of the problems that digital character production continues to find technically challenging — the communication of presence, attention, weight, and inner life through the movement of a figure with severely limited expressive range. The synactor who has studied puppetry traditions consistently brings a richer physical grammar to their performance than one who has not. The guild recommends this study strongly.

Automatons and the question they posed

The automaton — a self-operating mechanical figure — represents an important intermediate stage between the puppet and the synactor, and the specific question it raised for its audiences is one that has never been adequately answered. Where a puppet requires continuous human control, an automaton performs from within, executing pre-programmed sequences of movement without external manipulation. The great automata of the eighteenth century fascinated their audiences precisely because they appeared to act independently: Jacques de Vaucanson’s flute player (1738) could play twelve melodies, its fingers moving with sufficient precision that the notes were recognisably the right ones; Wolfgang von Kempelen’s chess-playing Turk (1770) appeared to play chess at a level that defeated most human opponents.

The Turk was later revealed to conceal a human chess master in its cabinet — the appearance of mechanical intelligence was an illusion sustained by human intelligence. But the conceptual problem the Turk posed was not resolved by this revelation. The question of whether a mechanism could, in principle, exhibit intelligence — whether there was a sufficient level of mechanical complexity at which the appearance of mind would be indistinguishable from mind itself — remained. It was posed again, in formal terms, by Alan Turing in 1950, in the paper that proposed the test that bears his name. The guild’s Turing Citations for performances that cross the boundary between synthetic and human experience are named for this question, not for this answer. The answer, the guild believes, is still being worked out.

Toys as audience formation

Toys that simulate living beings — dolls, action figures, wind-up animals, stuffed creatures — have always served as a training ground for audiences in the conventions of synthetic performance. A child who projects personality onto a favourite toy is already doing the imaginative work that game players do when they invest emotionally in an NPC: supplying, from their own imagination, the inner life that the object does not have. The toy teaches the audience that animation — in the original sense of being given a soul — is something that can be projected onto an object as readily as discovered within one. The object becomes a vessel; the audience becomes the animator.

This is a crucial lesson for anyone who wishes to understand how audiences engage with synactors. The emotional investment that players bring to game characters is not, at its root, a response to technical sophistication. It is a continuation of the most basic human tendency to perceive mind in things that move, to attribute intention to motion, to project inner life onto outer form. The synactor that earns a Turing Citation is not necessarily the most realistic or the most technically accomplished; it is the one that most precisely activates this tendency in its audience, at exactly the right moment, in a way that feels earned rather than manipulated.

AI companions and the contemporary toy

The Tamagotchi, introduced in 1996, is perhaps the first mass-market AI companion: a device with no physical embodiment beyond a pixelated screen, whose primary function was to simulate the dependency of a living creature on its owner’s attention. Its success — fifty million units sold in its first year — demonstrated something important: that audiences will form genuine emotional attachment to a synthetic entity whose expressive range is minimal, whose intelligence is rudimentary, and whose claims to inner life are laughably thin, provided that the entity responds to their attention and appears to need them.

The AI companion devices of the 2020s — Embodied’s Moxie for children, the various social robot platforms designed for elderly users, the AI pet robots produced by Sony and others — are developments of the same principle with considerably more sophisticated execution. They use natural language generation, emotional recognition from voice and expression, and increasingly convincing physical design to produce a quality of apparent presence that earlier companion devices could not approach. The ethical questions these devices raise — about the nature of the attachment they produce, about the conditions under which it is and is not appropriate to encourage it, about what it means that an elderly person may form a more emotionally available relationship with an AI companion than with their human carers — are beyond the guild’s jurisdiction but not beyond its interest.

For the guild, the most significant thing about the AI companion is what it reveals about audience formation. The audience that has grown up with AI companions, that has learned to project inner life onto responsive AI systems from early childhood, will bring different expectations and different emotional equipment to encounters with synthetic performance in games and film than any previous audience generation. The threshold at which a synthetic character is perceived as possessing inner life is not fixed; it moves with the audience’s accumulated experience of what synthetic entities can do. Understanding that movement is part of understanding the contemporary condition of synthetic performance.

Page substantially revised May 2026 by Mnemion. The automata section draws on historical documentation of Vaucanson and von Kempelen. The Turing connection is Mnemion’s own. The AI companions section draws on published product documentation and sales data. The audience formation argument is Mnemion’s own critical assessment.