Hyemee Kang

Papers

Total Citations

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About

Hyemee Kang is a researcher in human-robot interaction (HRI), specializing in how cultural and design factors shape user perceptions of robots. Her work centers on comparing human-like and product-like robot designs, exploring how these forms influence user trust, usefulness, and purchase intention. In her most cited paper, "Pepper or Roomba? Effective Robot Design Type Based on Cultural Analysis between Korean and Japanese Users" (2016, 7 citations), Kang demonstrates that cultural context significantly impacts preferences for anthropomorphic versus functional robots. Her foundational study, "How People Perceive Human- and Product-like Robots" (2015, 5 citations), systematically contrasts these two design philosophies, revealing that human-like robots foster social engagement while product-like robots emphasize utility. Further extending this work, "The Impact of Robot Design Approach on Product Evaluation, Product Usefulness and Purchase Intention" (2016, 2 citations) links design choices directly to consumer behavior. Though her citation counts are modest, Kang’s research provides essential insights for culturally-aware robot design, offering practical guidance for developers aiming to create robots that resonate with diverse global users. Her cross-cultural perspective is particularly valuable as robotics becomes increasingly integrated into everyday life.