Papers
8
Total Citations
398
H-Index
4
About
Swee Lan See is a researcher specializing in human-robot interaction (HRI), social robotics, and voice user interface (VUI) design, with a particular focus on making social robots more engaging, natural, and effective communicators. Her most influential work examines how acoustic and verbal properties of robot speech — especially voice pitch, humor, and empathy — shape user perceptions and interaction quality. Her landmark 2013 paper, "Making Social Robots More Attractive: The Effects of Voice Pitch, Humor and Empathy," has garnered over 310 citations, establishing her as a key contributor to the field of robot personality and communication design. See's research extends into the linguistic foundations of human-robot dialogue, notably exploring the applicability of Gricean and politeness maxims as frameworks for structuring polite, socially appropriate robot conversation. Her work with "Olivia," a deployed robot receptionist, bridges laboratory findings with real-world implementation, demonstrating practical impact beyond academic theory. She has also investigated user experience methodologies, including video-enhanced diary methods, to better understand how humans engage with interactive systems. Across her body of work, See consistently champions the idea that thoughtful voice and dialogue design is fundamental to building robots that humans genuinely want to interact with.
Research Focus
Key Achievements
Top Papers
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- 3Applying politeness maxims in social robotics polite dialogue15 citations · 2012
- 4Socializing with Olivia, the Youngest Robot Receptionist Outside the Lab12 citations · 2010
- 5The applicability of gricean maxims in social robotics polite dialogue3 citations · 2011
- 6“I Know U” – A Proposed VUI Design for Improving User Experience in HRI2 citations · 2013
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