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Making Appearances

Michiel Joosse, Manja Lohse, Niels van Berkel, Aziez Sardar, Vanessa Evers

Year
2020
Citations
38
Access
Open access

Abstract

To prepare for a future in which robots are more commonplace, it is important to know what robot behaviors people find socially normative. Previous work suggests that for robots to be accepted by people, the robot should adhere to the prevalent social norms, such as those related to approaching people. However, we do not expect that socially normative approach behaviors for robots can be translated on a one-on-one basis from people to robots, because currently robots have unique and different features to humans, including (but not limited to) wheels, sounds, and shapes. The two studies presented in this article go beyond the state-of-the-art and focus on socially normative approach behaviors for robots. In the first study, we compared people’s responses to violations of personal space done by robots compared to people. In the second study, we explored what features (sound, size, speed) of a robot approaching people have an effect on acceptance. Findings indicate that people are more lenient toward violations of a social norm by a robot as compared to a person. Also, we found that robots can use their unique features to mitigate the negative effects of norm violations by communicating intent.

Keywords

RobotNormativeNorm (philosophy)PsychologySocial robotHuman–computer interactionComputer scienceSpace (punctuation)Social psychologyArtificial intelligence

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