Empiriceme · Evidence · Empirical Regularity

Uncanny Valley

Affinity rises with human likeness until near-likeness triggers revulsion, then recovers only at full likeness.

Mori's 1970 observation. The dip is real and its cause is disputed, with category ambiguity the leading explanation — the figure is hard to classify as person or object, and the difficulty registers as unease.

In practice

  • A cartoon face with two dots for eyes is likeable; the same character rendered with real skin and slightly wrong eyes is not.
  • A near-human interface is harder to trust than an obviously mechanical one, which is why voice assistants that sound almost human are found unsettling.
Possible explanations
The leading explanation is category ambiguity: a figure that is hard to classify as person or machine is costly to process, and the difficulty registers as unease. Others are pathogen avoidance, since near-human faces can resemble illness, and mismatch, where a realistic face moves wrongly.
In its favour
Designers report the dip consistently, and several experiments find reduced liking at high but imperfect human likeness.
Against it
Measured curves vary with the stimuli and the rating scale, and a number of studies find no dip at all, so the shape may depend on which faces are chosen.
Standing
The dip is real but its cause is disputed; category ambiguity is the leading explanation.
Further reading
Wikipedia
Subject
Design & Systems
Essay
The limits every design runs into

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