Kai‐Chieh Lin
Papers
3
Total Citations
96
H-Index
3
About
Kai-Chieh Lin is a researcher specializing in human-robot interaction, with a particular focus on the social and affective dimensions of robot design. Their work sits at the intersection of communication design, personality perception, and user experience, exploring how robots can be crafted to feel more natural and socially appropriate across diverse contexts. Lin's most influential contribution, "Effects of Different Types of Social Robot Voices on Affective Evaluations in Different Application Fields" (2020), has garnered 65 citations and examines how vocal characteristics shape users' emotional responses to robots in varying real-world settings. Building on this, their 2019 study on robot voice and gesture combinations — with 24 citations — investigates how multimodal cues influence the perceived personalities of social robots, offering designers practical frameworks for shaping robot identity. Their more recent 2022 work extends this inquiry into gesture design tailored to specific professional fields, reflecting a growing recognition that robots function as social actors rather than mere task-performers. Collectively, Lin's research has meaningfully advanced understanding of how design choices in voice and gesture can imbue robots with distinct social qualities, providing actionable guidance for researchers and practitioners working to develop more human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3