Tipporn Laohakangvalvit
Papers
8
Total Citations
42
H-Index
4
About
Tipporn Laohakangvalvit is a researcher at the forefront of human-robot interaction, specializing in the cross-cultural design and evaluation of "Kawaii" (cute) robot attributes. Her work uniquely bridges affective computing and robotics, exploring how cultural perceptions of cuteness influence robot design preferences and user acceptance. Through innovative remote collaboration projects involving Japanese and American university students, she has demonstrated how virtual Kawaii robotic gadgets can be effectively co-designed across cultures, with her 2021 study on cross-cultural robot prototypes garnering 12 citations. Laohakangvalvit also advances stress monitoring technology, developing a multimodal deep learning approach (CCT-LSTM) for remote stress estimation that enhances driving safety and human-robot interaction efficiency. Her research extends to human error prediction using physiological signals like heart rate variability and electroencephalography, contributing to safer human-automation systems. With a portfolio of eight highly cited papers, she is establishing herself as a key figure in culturally-aware robot design and affective computing, making significant strides toward robots that are not only functional but emotionally resonant across diverse user populations.
Research Focus
Key Achievements
Top Papers
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- 2Multimodal Deep Learning for Remote Stress Estimation Using CCT-LSTM6 citations · 2024
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- 8Relationship Between Robot Designs and Preferences in Kawaii Attributes3 citations · 2021