Voice Response Grammar for Personalized Multimedia Presentations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current multimedia presentation systems are inflexible, as they require all conference participants to receive the same content, failing to account for varying user interests, technical knowledge, and security authorizations, leading to a need for personalized content delivery.
Innovation Solution
The development of a system that creates a content-specific presentation grammar, allowing for the creation of structured documents with structural elements marked by identifiers, enabling personalized presentation actions through speech input, and a voice response grammar that filters content based on user attributes, such as company, department, and technical level.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all conference participants are presented with the same content, then system simplicity is maintained, but user engagement and content relevance deteriorate due to varying user interests and expertise levels
Solution Approach 1:
The presentation content is segmented into multiple versions with different levels of detail and complexity. Each version is tagged with metadata indicating its appropriate audience level. The system then segments the delivery by selecting and presenting the appropriate version to each user based on their profile, thereby personalizing content without requiring completely separate presentation systems for each user type.
Solution Approach 2:
User profiles and content versions are prepared in advance with appropriate tags and metadata. The system performs preliminary classification of both users and content before the presentation occurs, so that during the actual presentation, the matching process is rapid and automated. This preliminary preparation reduces the complexity burden during live presentation delivery.
2Adaptability or versatility
If separate presentations are created for each audience, then content relevance improves, but productivity deteriorates due to the manual process of creating multiple versions
Solution Approach 1:
Multiple content versions are merged into a single presentation document structure, with each version tagged with metadata indicating its target audience characteristics. The system combines what would traditionally be separate presentation files into one unified document, allowing automated selection during delivery. This merging eliminates the need for manual creation and management of completely separate presentation files for different audiences.
Solution Approach 2:
The system changes parameters such as detail level, technical depth, and complexity based on user profile attributes. By parameterizing the content delivery rather than creating entirely separate presentations, the system can automatically adjust what each user sees based on their expertise level, interests, and other profile characteristics, dramatically improving productivity while maintaining audience-specific relevance.
3Adaptability or versatility
If content is reduced to the lowest common denominator, then inclusivity improves, but information completeness deteriorates for advanced users
Solution Approach 1:
Different portions of the presentation are assigned different quality levels and detail densities based on their intended audience. Critical core concepts are presented in simplified form for all users, while advanced topics and detailed technical information are available in enriched versions for expert users. The system applies local quality adjustments to specific content segments rather than uniformly reducing all content, thereby maintaining accessibility while preserving information completeness for those who need it.
Data Source
AI summary
Methods, systems, and products are disclosed for creating a voice response grammar in a voice response server that include identifying a user for a presentation, the user having a user grammar, the user grammar including one or more user grammar elements and storing a multiplicity of user grammar elements for the user in a voice response grammar on a voice response server. In typical embodiments, identifying a user for a presentation includes creating a data structure representing a presentation and listing in the data structure at least one user identification. In typical embodiments, each grammar element includes an identifier of a structural element, a key phrase for invoking a presentation action, and a presentation action identifier representing a presentation action.