Azaini bin Abdul Manaf
Papers
1
Total Citations
3
H-Index
1
About
Azaini bin Abdul Manaf is a researcher whose work explores the psychological and perceptual boundaries between humans and lifelike machines. His primary research area centers on the uncanny valley theory, a foundational concept in robotics and animation that describes the discomfort people feel when encountering entities that appear almost, but not perfectly, human. Manaf’s most cited work, "Evaluating the Uncanny Valley Theory Based on Human Attitudes" (2015), provides a critical empirical examination of Masahiro Mori’s 1970 hypothesis. By systematically analyzing human attitudes toward increasingly realistic faces, Manaf contributes to a deeper understanding of how subtle design flaws trigger negative emotional responses, offering practical insights for animators and roboticists. Although his citation count remains modest—with this key paper garnering 3 citations—his research holds significant conceptual value for scholars studying human-robot interaction and aesthetic psychology. Manaf’s work serves as a thoughtful bridge between classic theory and modern empirical validation, making him a notable voice in the ongoing dialogue about how we design and perceive artificial beings.
Research Focus
Key Achievements
Top Papers
- 1Evaluating the Uncanny Valley Theory Based on Human Attitudes3 citations · 2015