Digital Assistant Persona Configuration for Automated Skill Dialog
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Solution Overview
Problem
Current digital assistants require tedious and specialized efforts to create engaging personalities, which involve developing a standard vocabulary and voice prompts that connect users with the assistant's persona, posing a challenge in saving time and effort while ensuring user engagement and brand trust.
Innovation Solution
A system utilizing a combination of machine learning techniques, including personality type, brand tone and voice, and analytics engines to automatically generate a standard vocabulary and voice prompts based on user input through a personality studio interface, streamlining the digital assistant's persona development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual creation of standard vocabulary and voice prompts is used, then personalized and engaging digital assistant personalities can be achieved, but significant time and specialized effort are required
Solution Approach 1:
The system pre-processes and structures personality data, vocabulary options, and prompt templates in advance, so that when a user selects personality traits, the matching vocabulary and prompts are already prepared and can be quickly assembled, reducing the time required for persona development
Solution Approach 2:
The system automatically generates the standard vocabulary and voice prompts based on user-selected personality traits without requiring manual creation, allowing the digital assistant persona to be developed through automated configuration rather than specialized manual effort
2Productivity
If automated generation of standard vocabulary and voice prompts is implemented, then time and effort are reduced, but the engagement and trust connection may be compromised
Solution Approach 1:
The system uses configurable parameters for tone, style, and personality traits that allow automated generation to produce varied and nuanced vocabulary and prompts, maintaining engagement quality while improving development efficiency
Solution Approach 2:
The system incorporates feedback mechanisms that allow users to review and adjust the generated vocabulary and prompts, ensuring that the automated output meets engagement standards and builds user trust while maintaining productivity benefits
Data Source
AI summary
Auto-generation of dialog for a skill executed by a digital assistant is performed. Details descriptive of a digital assistant persona are received from a personality studio user interface. A personality type is generated based on the details. A standard vocabulary is auto-generated using the personality type. The standard vocabulary is exported for use in a skill. Prompts are auto-generated for the skill based on the standard vocabulary.