FFAB-The Form Function Attribution Bias in Human-Robot Interaction

Kerstin S. Haring, Katsumi Watanabe, Mari Velonaki, Chad C. Tossell, Victor Finomore

研究成果: Article査読

16 被引用数 (Scopus)


People seem to miscalibrate their expectations and interactions with a robot. When it comes to robot design, the anthropomorphism level of the robot form (appearance) has become an increasingly important variable to consider. It is argued here that people base their expectations and perceptions of a robot on its form and attribute functions which do not necessarily mirror the true functions of the robot. The term form function attribution bias (FFAB) refers to the cognitive bias which occurs when people are prone to perceptual errors, leading to a biased interpretation of a robot's functionality. We argue that rather than objectively perceiving the robot's functionalities, people take a cognitive shortcut using the information available to them through visual perception. FFAB intends to outline the implications the design of a robot has on the human predisposition to interact socially with robots. In this theoretical review, we examined the results of several studies suggesting an FFAB. We outline future directions of experimental paradigms and robot design implications.

ジャーナルIEEE Transactions on Cognitive and Developmental Systems
出版ステータスPublished - 2018 12

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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