Papers
7
Total Citations
83
H-Index
5
About
Karen Tatarian investigates how social robots can communicate more naturally with humans, focusing on multi-modal behavior, conversational dynamics, and the subtle cues that shape human-robot interaction. Her work bridges robotics, psychology, and human-computer interaction to make robots more socially intelligent. Her most cited paper (25 citations) examines how combining speech, gaze, and gesture affects perceived social intelligence, while another influential study (15 citations) reveals how a robot’s very first moments of presence—its “pre-beginnings”—can determine whether people treat it as an object or an agent. Tatarian also explores the gap between what users say and what they do around robots (8 citations), a critical insight for designing better evaluation methods. Beyond research, she co-organized RobotCraft, the first international collective robotics internship, and developed an EMG-controlled low-cost prosthetic hand for transhumanist applications. Her work has been presented at top HRI venues and informs the design of robots for education, healthcare, and public spaces. With over 80 total citations, Tatarian is shaping how robots learn to read and respond to human social signals.
Research Focus
Key Achievements
Top Papers
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- 6Tailoring a ROS Educational Programming Language Architecture4 citations · 2018
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