Gender in Age and Anthropomorphism: Exploring Gender-Expansive Response Options for Robots
| Autor: | Seaborn, Katie, Pennefather, Peter, Kotani, Haruki |
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| Rok vydání: | 2022 |
| Předmět: |
gender neutral
Cognition and Perception Gender and Sexuality perception of robots social robots Social and Behavioral Sciences human-robot interaction Engineering Sociology Physical Sciences and Mathematics gender Psychology gender ambiguous Computer Engineering Gender Race Sexuality and Ethnicity in Communication perceptions of humanlikeness perceptions of gender robotics gender neutrality Computer Sciences Communication anthropomorphism robot gendering genderless robot humanoid robots gender fluid agender FOS: Sociology FOS: Psychology gendering HRI age Graphics and Human Computer Interfaces robot gender mechanical genders perceptions of age social construction robots humanlikeness |
| DOI: | 10.17605/osf.io/2cuqv |
| Popis: | Gender is increasingly being explored as a social characteristic of robots perceived by people. Perceptions of robot gender have been linked to features of the voice and body of the robot. People are more likely to perceive gender in robots with features that express a degree of humanlikeness (anthropomorphism). Additionally, perceptions of the robot's age appear to influence perceptions of the robot's gender. Yet, most research does not assess these perceptions (such as through manipulation checks), and those that do tend to rely on limited models of gender based on human models, especially the gender binary (feminine or masculine). In response, we conducted a categorization study wherein we provided gender-expansive response options for rating eight robots ranging across four levels of anthropomorphism. We also captured perceived age. We provide our methods and hypotheses in this registration after data collection but before data analysis. |
| Databáze: | OpenAIRE |
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