XARA – XR Dialog Trainer
XARA is a customised dialogue simulator based on artificial intelligence and integrated with OpenAI (GPT-4). The application enables realistic and dynamic dialogues. Scenarios and characters can be customised without restriction via the XARA web platform. Thanks to the use of AI, every conversation takes a different course, with the virtual characters responding individually to the user's questions. This enables an interactive and realistic simulation of conversations. The application is accessible both as a VR and AR application and via a web UI.
Features
- AI-based speech processing (GPT-4)
- User-defined dialogues
- Unique, individualised conversation history
- Valuable training experiences and spontaneous reactions
- Choice of different avatars
- Available on three platforms (AR/VR/Web)
- Downloadable conversation protocols
Scenarios and characters
Scenarios and characters/roles can be freely defined in the Xara web platform. Individual guidelines, CVs, minutes of old conversations can serve as the basis for developing a scenario. Examples of current scenarios:
- Recruitment: Practical simulations for effective application management.
- Conflict dialogue: Targeted training for dealing with conflict situations.
- Notice of dismissal: Sensitive practice of employee dismissals for professional communication.
- Open questions: Promoting critical thinking and spontaneous reactions through open dialogues.
Benefits: Adaptability, diversity and efficiency
- Adaptability to the course of the conversation promotes flexible communication skills.
- Personalised scenarios enable targeted training for specific professional requirements.
- The uniqueness of each conversation strengthens self-confidence and the ability to react spontaneously.
- The variety of roles creates a stimulating and motivating learning environment.
- Protocol documentation enables efficient learning and improves job performance.
- Endless possibilities for new roles maximise the investment in training and increase the benefit to the organisation.
Next Steps
- RAG system: Use data from websites, documents, etc. for personalisation
- Use speech recognition/multilingual voices
- Select custom models (GPT-3.5, GPT 4, Mistral)