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  KEYWORD

Area Engineering

A virtual agent for learning how to use Blender

Reference persons FABRIZIO LAMBERTI

External reference persons Alberto Cannav˛

Research Groups GR-09 - GRAphics and INtelligent Systems - GRAINS

Thesis type RESEARCH THESIS

Description Modeling and animation suites, like Blender or Autodesk Maya, are de facto the standard software used by professional developers to generate virtual/animated scenes. Although they provide high flexibility in terms of available functionalities, they are usually characterized by a step-learning curve. The difficulties in using these suites make them not accessible to novice users. The goal behind this thesis is to help students and/or novice users to learn how to use Blender, by developing an interactive training tool for Blender. The training tool provides users the possibility to interact with a sort of virtual agent that has access to the underlying Blender functionalities. In this way, the users can simply activate Blender's functionalities by asking the agent to do it. Moreover, by monitoring the progress made by the user during the execution of a tutorial/exercise, the tool can collect data on the user's performance and can provide suggestions/evaluations on the operations executed. The tool can also be leveraged by teachers to explain theoretical concepts, e.g., geometric transformation with matrices, by presenting them through interactable objects/animations, or to create assessments, e.g., based on traces/logs comparison.

Suggested readings

Zojaji, S., Peters, C. (2019, September). Towards Virtual Agents for Supporting Appropriate Small Group Behaviors in Educational Contexts. In 2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) (pp. 1-2). IEEE.A generic framework for an interface tutor agent within a virtual collaborative learning environment

Sadagic, A. (2012, March). Validation of virtual humanoid intelligent agents in virtual reality systems. In 2012 IEEE Virtual Reality Workshops (VRW) (pp. 91-92). IEEE.Socializing Pedagogical Agents for Personalization in Virtual Learning Environments

See also  http://grains.polito.it/work.php


Deadline 12/03/2023      PROPONI LA TUA CANDIDATURA




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