Change Details

{F2757020} **What is it?** ExpyVR is a Framework for Designing and Running Experiments in Virtual-Reality. ExpyVR was originally inspired by [[ http://www.psychopy.org/ | psychopy ]] but the execution pipeline was entirely redesigned to be based on OpenGL rendering. The code of ExpyVR is in [[ http://python.org/ | Python ]], but it uses C/C++ shared libraries for multimedia I/O. It is essentially developped for MS Windows (XP or 7) but the core engine is in itself non-OS specific (multi-platform Python modules). ExpyVR allows users to easily design an experiment timeline with loops and randomization using a graphical user interface. Modules for 2D and 3D display, audio, or user input are integrated into the timeline with few clics. Once an experiment is described and saved, a set of execution instances can be generated with randomization for testing with subjects (e.g. factorial design). **Design principles ** 1. Separation of the experiment design GUI and the experiment controller for execution - GUI allows to design experiment as a set of modules instances + a flow with time-lines (XML) - GUI generates instances (XML) - Controller reads XML and executes instances 2. Components are developed and added easily - Grouped by directories (default components, lncocomponents, etc.) - Structure of a component is defined in OOP: fix set of methods (init, start, stop, clean), subclass of generic classes: basic, drawable, HUD, etc. - Programming of components and scripting is done in Python 3. No external dependencies - NO installation procedure for libraries (only for drivers if not possible otherwise) - Runtime execution environment is provided with full set of dependencies **Usage and development policy** ExpyVR is provided as-is, with no support. A documentation is provided for learning to use and to develop new components. It is shared with the hope that it can be useful to researchers who, like us, need a high flexibility in the design and programming of their behavioral experiments. ... Installation procedure

{F2757020} [[ https://c4science.ch/project/members/1887/ | Join the project as a LNCO member ]] **What is it?** ExpyVR is a Framework for Designing and Running Experiments in Virtual-Reality. ExpyVR was originally inspired by [[ http://www.psychopy.org/ | psychopy ]] but the execution pipeline was entirely redesigned to be based on OpenGL rendering. The code of ExpyVR is in [[ http://python.org/ | Python ]], but it uses C/C++ shared libraries for multimedia I/O. It is essentially developped for MS Windows (XP or 7) but the core engine is in itself non-OS specific (multi-platform Python modules). ExpyVR allows users to easily design an experiment timeline with loops and randomization using a graphical user interface. Modules for 2D and 3D display, audio, or user input are integrated into the timeline with few clics. Once an experiment is described and saved, a set of execution instances can be generated with randomization for testing with subjects (e.g. factorial design). **Design principles ** 1. Separation of the experiment design GUI and the experiment controller for execution - GUI allows to design experiment as a set of modules instances + a flow with time-lines (XML) - GUI generates instances (XML) - Controller reads XML and executes instances 2. Components are developed and added easily - Grouped by directories (default components, lncocomponents, etc.) - Structure of a component is defined in OOP: fix set of methods (init, start, stop, clean), subclass of generic classes: basic, drawable, HUD, etc. - Programming of components and scripting is done in Python 3. No external dependencies - NO installation procedure for libraries (only for drivers if not possible otherwise) - Runtime execution environment is provided with full set of dependencies **Usage and development policy** ExpyVR is provided as-is, with no support. A documentation is provided for learning to use and to develop new components. It is shared with the hope that it can be useful to researchers who, like us, need a high flexibility in the design and programming of their behavioral experiments. ... Installation procedure

{F2757020} [[ https://c4science.ch/project/members/1887/ | Join the project as a LNCO member ]] **What is it?** ExpyVR is a Framework for Designing and Running Experiments in Virtual-Reality. ExpyVR was originally inspired by [[ http://www.psychopy.org/ | psychopy ]] but the execution pipeline was entirely redesigned to be based on OpenGL rendering. The code of ExpyVR is in [[ http://python.org/ | Python ]], but it uses C/C++ shared libraries for multimedia I/O. It is essentially developped for MS Windows (XP or 7) but the core engine is in itself non-OS specific (multi-platform Python modules). ExpyVR allows users to easily design an experiment timeline with loops and randomization using a graphical user interface. Modules for 2D and 3D display, audio, or user input are integrated into the timeline with few clics. Once an experiment is described and saved, a set of execution instances can be generated with randomization for testing with subjects (e.g. factorial design). **Design principles ** 1. Separation of the experiment design GUI and the experiment controller for execution - GUI allows to design experiment as a set of modules instances + a flow with time-lines (XML) - GUI generates instances (XML) - Controller reads XML and executes instances 2. Components are developed and added easily - Grouped by directories (default components, lncocomponents, etc.) - Structure of a component is defined in OOP: fix set of methods (init, start, stop, clean), subclass of generic classes: basic, drawable, HUD, etc. - Programming of components and scripting is done in Python 3. No external dependencies - NO installation procedure for libraries (only for drivers if not possible otherwise) - Runtime execution environment is provided with full set of dependencies **Usage and development policy** ExpyVR is provided as-is, with no support. A documentation is provided for learning to use and to develop new components. It is shared with the hope that it can be useful to researchers who, like us, need a high flexibility in the design and programming of their behavioral experiments. ... Installation procedure