Photo by Dayofid at English Wikipedia, CC BY 2.5. The other effect is category ambiguity, where it is difficulty to determine whether a thing is human or robot (like the Android Repliee Q2 shown at the top of the page).Īlbert Hubo robot. For example you might have a realistic human head on a robot (see picture below). One is the presence of atypical features. The uncanny valley has been attributed to two effects that have been supported by experimental evidence. Diagram by Smurrayinchester, based on image by Masahiro Mori & Karl MacDorman CC BY-SA 3.0 For example, it is perfectly possible for a near-human robot to cause mirth rather than unease, but I’m going to focus on when people are unnerved. Note, the graph is a simplification of what can happen. The graph therefore shows a sharp dip forming the uncanny valley. Mori predicted that at a certain point, just before the robot appears to be fully human, affinity would flip to revulsion. Imagine starting with an industrial robot that is clearly mechanical and then gradually altering its features so it becomes more and more human (moving right on the graph). Mori sketched out a graph like the one below, which showed how people’s affinity towards a robot varied with its closeness to the human form. The phrase was coined by the Japanese professor Masahiro Mori in the 1970s. Does the uncanny valley exist for artificial voices? A timely question given the rise of synthetic speech such as smart assistants. The phenomenon has even been used to explain the failure of animated movies with creepy-looking characters like The Polar Express. The uncanny valley can happen when robots look almost human but certain features are not quite right: perhaps the eyes are too big or look lifeless, or the face combines both human and artificial features creating a nightmare version of Mr Potato Head. Android Repliee Q2 – is this in your Uncanny Valley? (Photo Max Braun
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