Abstract
Previous research has shown that features of synthetic robot faces suggesting social categories produce predictable and consequential social judgments. Artificial robot faces that are feminine (versus masculine) and humanlike (versus machinelike) have been shown to be judged as warmer and to produce relatively higher levels of comfort, resulting in positive evaluations and a greater desire for engagement. Two studies pursued these questions using images of real robots. In Study 1, images of existing robots were used to manipulate gendered features and machineness. Study 2 used an assortment of images of real robots including non-humanoid exemplars that vary naturally in gendered features and machineness. Consistent results emerged from the two studies. In both studies, robots were evaluated more positively and produced a greater desire for contact to the degree that they were seen as humanlike and feminine. These results attest to the importance of social factors in predicting responses to robots. Implications for robot design and future research are discussed.
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Notes
Unlike the stimuli used in our previous research, the robotic stimuli used here were selected to be roughly equal on the theoretical variables of interest—gendered features and machineness—while varying in many other respects. It was expected that results would vary across the two replications. Indeed, the goal was to see if these theoretical variables would influence social judgments of robots in spite of the numerous differences between the robots that comprised each gender typicality/machineness category. Replication was included as a methodological factor in preliminary statistical analyses, and results were examined to assess whether any reported effects were eliminated or reversed for either set of robotic stimuli. In no case did this occur. Accordingly, we focus on the theoretical variables of interest in our reporting of results. Complete statistical results can be obtained from the first author.
For both studies, we conducted preliminary analyses to assess whether the participants’ gender qualified any of the reported results. Participant gender main effects were obtained in both studies, generally showing that male participants rated robots as higher on measures of warmth, liking, and contact desirability. Participant gender did not interact with any other variables, however, indicating that our reported effects did not vary for men and women. Complete statistical results can be obtained from the first author.
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Disney Research supported this research, and it was reviewed and approved by the Disney Research IRB.
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Stroessner, S.J., Benitez, J. The Social Perception of Humanoid and Non-Humanoid Robots: Effects of Gendered and Machinelike Features. Int J of Soc Robotics 11, 305–315 (2019). https://doi.org/10.1007/s12369-018-0502-7
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DOI: https://doi.org/10.1007/s12369-018-0502-7