Peter Pennefather

General Dynamics (Canada)

Papers

7

Total Citations

266

H-Index

4

About

Peter Pennefather is a researcher whose work sits at the intersection of human-computer interaction, social robotics, and the social dimensions of artificial intelligence. His scholarship centers on how people perceive and interpret human characteristics — particularly gender, voice, and national identity — in intelligent agents and robotic systems. Pennefather's most impactful contribution, "Voice in Human–Agent Interaction" (2021), has garnered an impressive 222 citations, establishing him as a leading voice on how vocal embodiment shapes our relationships with AI systems, from social robots to conversational assistants. This work highlights voice as a critical yet underexplored modality connecting diverse forms of embodied AI. A distinctive thread running through his research is a rigorous interrogation of gender in robotics. Through multiple 2022 publications, Pennefather challenges assumptions about gender neutrality in robot design, demonstrating that people unconsciously ascribe gender to robots based on subtle design cues. His innovative "open living review framework" for studying robot gender perception reflects a commitment to evolving, community-driven scholarship. More recently, his 2024 exploration of national identity perception in robots extends his inquiry into how socio-cultural identity becomes embedded in robot design — broadening the field's understanding of the complex social meanings humans project onto artificial agents.

Research Focus

Key Achievements

4
H-Index
7
Papers
266
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Voice in Human–Agent Interaction
222 citations · 2021
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: General Dynamics (Canada)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago