Papers
22
Total Citations
649
H-Index
11
About
Katie Seaborn is a prominent researcher at the intersection of human-computer interaction, human-robot interaction, and AI communication, with a particular focus on voice, embodiment, gender, and inclusivity in intelligent agent design. Her most cited work, "Voice in Human–Agent Interaction" (2021, 222 citations), established a foundational framework for understanding how voice functions as a critical modality across social robots, conversational agents, and voice assistants. Building on this, Seaborn has made significant contributions to understanding nonverbal communication in robotics (93 citations) and trust in human-AI systems (77 citations), offering researchers much-needed models and measurement approaches for an underexplored area. A recurring thread in her scholarship is a commitment to equity and critical inquiry. Her work interrogating gender stereotypes in robot design — including studies on gender-ambiguous voices and pronoun use for robots like Pepper — challenges the field to reckon with embedded biases. Her systematic review of diversity in human-robot interaction research (43 citations) further highlights sampling gaps that risk perpetuating societal inequities. With over 500 cumulative citations across recent publications alone, Seaborn's research is reshaping how scholars and designers think about who AI is built for — and who it should serve.
Research Focus
Key Achievements
Top Papers
- 1Voice in Human–Agent Interaction222 citations · 2021
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- 3Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods77 citations · 2022
- 4What Pronouns for Pepper? A Critical Review of Gender/ing in Research45 citations · 2022
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- 8Can Voice Assistants Sound Cute? Towards a Model of Kawaii Vocalics16 citations · 2023
- 9Neither “Hear” Nor “Their”: Interrogating Gender Neutrality in Robots15 citations · 2022
- 10Inclusive HRI II11 citations · 2023