Ahmad Azaini Abdul Manaf

Papers

1

Total Citations

3

H-Index

1

About

Ahmad Azaini Abdul Manaf is a researcher whose work bridges the psychological and technological dimensions of human-computer interaction, with a particular focus on digital character design and robotics. His primary research area explores the uncanny valley theory—the unsettling psychological response elicited by near-human but imperfectly realistic digital faces and robots. In his most cited paper, "Overcoming the Uncanny Valley Theory in Digital Characters Based on Human Attitudes" (2015, 3 citations), Manaf critically examines Masahiro Mori’s foundational 1970 hypothesis and proposes strategies to mitigate the eerie effect by aligning character design with human attitudes and expectations. Though his citation count remains modest, his contribution lies in offering a human-centered framework for animators and roboticists to create more acceptable and emotionally resonant digital beings. This work underscores his commitment to making technology feel more natural and less alienating. Manaf’s research is particularly valuable for students and practitioners in animation, human-robot interaction, and user experience design, as it provides actionable insights into how subtle design choices can profoundly influence user comfort and engagement.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Overcoming the Uncanny Valley Theory in Digital CharactersBased on Human Attitudes
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago