About

Ayanna Howard is a pioneering roboticist whose research spans human-robot interaction, autonomous navigation, AI ethics, and educational robotics. Best known for her groundbreaking work on trust dynamics between humans and robots, her widely cited 2016 study on overtrust in emergency evacuation scenarios (360 citations) revealed how misplaced confidence in robotic systems can prove just as dangerous as distrust — a finding that reshaped how researchers approach robot design for high-stakes environments. Her complementary work on trust repair and the effects of robot performance in time-critical situations further established her as a leading voice in understanding the psychological dimensions of human-robot relationships. Howard has also been a fearless critic of systemic bias in artificial intelligence. Her 2017 paper, "The Ugly Truth About Ourselves and Our Robot Creations" (339 citations), confronted how social inequity becomes embedded in robotic systems, earning widespread attention across both technical and policy communities. Earlier in her career, Howard made significant contributions to autonomous mobile robot navigation, developing fuzzy logic approaches for challenging terrain traversal. More recently, her work on social robots in mathematics education has demonstrated their potential to boost student engagement through verbal encouragement. Across more than two decades, Howard's research consistently bridges technical innovation with profound social responsibility.

Research Focus

Key Achievements

25
H-Index
122
Papers
3,150
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Overtrust of robots in emergency evacuation scenarios
360 citations · 2016
📈 Most Prolific Year: 2020 (12 Papers)
🤝 Key Collaborators: 106
🏛 Institutions: Georgia Institute of Technology, Jet Propulsion Laboratory, University of Southern California, California Institute of Technology, The Ohio State University, École Nationale Supérieure de Techniques Avancées

Top Papers

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    Overtrust in the robotic age
    144 citations · 2018
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Key Collaborators

Contact & Links

Available for collaboration
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