My research centres on how voice shapes human perceptions of robots, with a focus on inclusivity, gender diversity, and reducing gendering and stereotyping.
I investigate how people interpret and respond to gendered and gender-ambiguous voices in robots and voice technologies.
My work aims to design more inclusive, flexible, and affirming voice experiments that challenge stereotypes and better represent diverse identities.
What I've found so far:
People match robot voices and appearances based on gendered and cultural cues (see paper details)
Ambiguous voices can reduce the gendering of robots in stereotyped roles (see paper details)
Non-binary participants seem to trust gender-ambiguous voices less than men and women participants
What I’ll do next:
Explore how people design physical robots (using 3D-printed materials) after hearing ambiguous voices
Investigate whether “ambiguous” is the right term to describe these voices
Conduct more research with queer communities to deepen inclusivity
Run a longitudinal study to understand whether ambiguous voices can reduce stereotyping over time