LabCompass

Nicoletta Adamo‐Villani

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2004

Publications

115

Citations

1,225

Est. group size

~5

Recurring co-author estimate

Active years

22

Publishing since 2004

Research summary
AI-generated

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.

Character animation and facial/body animation techniquesPerception of emotion and personality in virtual/animated agentsPedagogical agents and their effect on learningEmotion recognition (including deep learning-based approaches)Human motion, gesture, and gait in animated characters

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

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
2017: 4 publications172018: 4 publications182019: 4 publications192020: 5 publications202021: 7 publications7212022: 3 publications222023: 5 publications232024: 3 publications242025: 2 publications2526
Recent publications
Publishes in
  • 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
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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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