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Anthropomorphism

Anthropomorphism is the attribution of humanlike characteristics, motivations, intentions or emotions to nonhuman agents or objects. In robotics, it can involve interpreting a machine as having humanlike mental states; this inference is distinct from describing a robot's humanlike body shape.

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Humanlike form and attributed human qualities

Epley, Waytz and Cacioppo's 2007 paper describes anthropomorphism as attributing humanlike characteristics, motivations, intentions or emotions to nonhuman agents. Mental states are central to their account, although anthropomorphism can also involve attributed humanlike behaviour or form.

A humanoid robot is classified by its body. Saying that a robot has two arms describes a visible configuration. Saying that it feels lonely, wants friendship or cares about its operator attributes a mental or emotional state. The second kind of statement needs evidence beyond appearance or a convincing demonstration.

Anthropomorphism does not require a humanoid body. The paper discusses how people can attribute human qualities to electronic devices and even moving geometric shapes.

Why the distinction matters in human–robot interaction

Human–robot interaction includes what a robot does and how people interpret it. Those are different observations. A useful evaluation can record that a robot turned towards a speaker, that a participant interpreted this as attention, and how the robot actually used the speech input. Each description answers a different question.

The 2007 paper proposes that accessible knowledge about people, a motivation to understand an agent's behaviour, and a desire for social connection help explain when anthropomorphism occurs. These are theoretical determinants, not a guarantee that every person will interpret the same robot in the same way.

For the coined term xumanoid, descriptions such as working alongside people or serving them with care express an intended role. They do not establish human feelings. The article on xumanoid and humanoid terminology explores that boundary in more detail.

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