Nicoletta Adamo‐Villani
Computer Science · Purdue University West Lafayette
Publications
115
Citations
1,225
Est. group size
~5
Recurring co-author estimate
Active years
22
Publishing since 2004
Nicoletta Adamo-Villani works on computer animation and virtual characters, studying how design choices such as facial expressions, body gestures, lighting, and locomotion affect how viewers perceive an animated character's emotions and personality. Much of this work applies to animated pedagogical agents (virtual instructors used in educational software) and examines how their emotional expressiveness influences learning and audience engagement. The research combines character animation techniques (skeleton-based, blendshape, audio-driven, and vision-based capture) with human perception studies and some deep learning-based emotion recognition methods.
Publication output has been fairly steady over the last decade, fluctuating between about 3 and 7 papers per year with no clear long-term growth or decline.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Comparative Study of Four 3D Facial Animation Methods: Skeleton, Blendshape, Audio-Driven, and Vision-Based Capture
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2023
- Does the Voice Reveal More Emotion than the Face? a Study with Animated Agents
Lecture notes in computer science · 2023
- Fiat Lux! Does the Lighting Design Affect Viewers’ Perception of an Animated Character Personality?
Lecture notes in computer science · 2023
- The Effect of Characters’ Locomotion on Audience Perception of Crowd Animation
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2022
- Do Learners Recognize and Relate to the Emotions Displayed By Virtual Instructors?
International Journal of Artificial Intelligence in Education · 2021
- The positivity principle: do positive instructors improve learning from video lectures?
Educational Technology Research and Development · 2021
- Multimodal Affective Pedagogical Agents for Different Types of Learners
Advances in intelligent systems and computing · 2021
- Bodily Expression of Emotions in Animated Agents
Lecture notes in computer science · 2021
- Perceived Naturalness of Interpolation Methods for Character Upper Body Animation
Lecture notes in computer science · 2021
- Recognizing the emotional state of human and virtual instructors
Computers in Human Behavior · 2020
- The Contribution of Different Body Channels to the Expression of Emotion in Animated Pedagogical Agents
International Journal of Technology and Human Interaction · 2020
- Deep Learning-Based Emotion Recognition from Real-Time Videos
Lecture notes in computer science · 2020
- The Effects of Body Gestures and Gender on Viewer’s Perception of Animated Pedagogical Agent’s Emotions
Lecture notes in computer science · 2020
- Audience Perception of Exaggerated Motions on Realistic Animated Animal Characters
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2020
- Automatic Deictic Gestures for Animated Pedagogical Agents
IEEE Transactions on Learning Technologies · 2019
- Lecture notes in computer science×10
- Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering×6
- Journal of Educational Computing Research×2
- Computer Animation and Virtual Worlds×2
- International Journal of Technology Enhanced Learning×2
- Juan Wachs
Computer Science · Purdue University West Lafayette
- Ronnie Β. Wilbur
Psychology · Purdue University West Lafayette
- Christos Mousas
Computer Science · Purdue University West Lafayette
- Daniel Fobi
Psychology · Indiana University
- Jennifer Ackerman
Psychology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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