The Shape of Our Bias: Perceived Age and Gender in the Humanoid Robots of the ABOT Database
summary
153 participants rate 251 ABOT images using an age scale (1–100) and 7‑point femininity/masculinity/gender‑neutral items, producing averaged judgments. Most robots cluster as young adults; only 7.6% childlike and 1.5% older than 60. Femininity is scarce and no robot is androgynous; body manipulators -> masculinity while surface look -> femininity, absence of facial features raises perceived age, humanlikeness predicts stronger social categorization, and men give lower age but higher femininity scores; ROBO-GAP dataset is released.
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chapters (9)
- 0:00Introduction to study
- 1:55Research questions and goals
- 3:51Methodology and data collection
- 5:02Key findings on gender distribution
- 6:14Participant and robot features impact
- 7:20Underrepresentation of age and gender
- 8:35Stereotypes in robot design
- 8:59Critique of humanoid form
- 9:40Dataset and future work
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