This study explores how altering a robot’s screen design by adjusting proportions and orientation affects human perception of the robot’s role and characteristics. We employed two research methods: an Online Questionnaire and a Semi-Live Online Job Interview. The online questionnaire aimed to assess general feelings and attitudes toward social robots. We collected responses from 97 participants. In the semi-live online interaction, 45 participants engaged in a job interview with a robotic recruiter in one of four randomly chosen robot design options that varied by their screen layout and proportion. The interview consisted of standard questions commonly asked in junior engineering job interviews. The orientation and proportion of the screen were found to play a crucial role in shaping user perceptions of gender and character traits. Our findings offer valuable insights for optimizing screen design in human-robot interactions, enhancing user experiences, and ensuring robots effectively fulfill their intended roles.

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Why the Long Face? The Influence of Robot Screen Proportions and Orientation on Human Perception and Interaction

  • E. Liberman-Pincu,
  • T. Oron-Gilad

摘要

This study explores how altering a robot’s screen design by adjusting proportions and orientation affects human perception of the robot’s role and characteristics. We employed two research methods: an Online Questionnaire and a Semi-Live Online Job Interview. The online questionnaire aimed to assess general feelings and attitudes toward social robots. We collected responses from 97 participants. In the semi-live online interaction, 45 participants engaged in a job interview with a robotic recruiter in one of four randomly chosen robot design options that varied by their screen layout and proportion. The interview consisted of standard questions commonly asked in junior engineering job interviews. The orientation and proportion of the screen were found to play a crucial role in shaping user perceptions of gender and character traits. Our findings offer valuable insights for optimizing screen design in human-robot interactions, enhancing user experiences, and ensuring robots effectively fulfill their intended roles.