Marieke van Otterdijk;Bruno Laeng;Diana Saplacan Lindblom;Jim Torresen
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引用次数: 0
Abstract
Robots are becoming part of our social landscape. Social interaction with humans must be efficient and intuitive to understand because nonverbal cues make social interactions between humans and robots more efficient. This study measures mental effort to investigate what factors influence the intuitive understanding of expressive nonverbal robot motions. Fifty participants were asked to watch, while their pupil response and gaze were measured with an eye tracker, eighteen short video clips of three different robot types while performing expressive robot behaviors. Our findings indicate that the appearance of the robot, the viewing angle, and the expression shown by the robot all influence the cognitive load, and therefore, they may influence the intuitive understanding of expressive robot behavior. Furthermore, we found differences in the fixation time for different features of the different robots. With these insights, we identified possible improvement directions for making interactions between humans and robots more efficient and intuitive.
期刊介绍:
The IEEE Transactions on Cognitive and Developmental Systems (TCDS) focuses on advances in the study of development and cognition in natural (humans, animals) and artificial (robots, agents) systems. It welcomes contributions from multiple related disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology. Articles on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are considered.