Voice Response Grammar Creation for Personalized Multimedia Presentations
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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 presentation document with a content-specific presentation grammar, allowing for structured documents to be filtered and adapted based on user attributes, enabling personalized content delivery through speech-activated presentation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If all conference participants are presented with the same content, then the presentation system is simple to operate, but the system lacks adaptability to different user attributes
Solution Approach 1:
The presentation content is segmented into multiple versions for different user attributes (technical level, security level, department). Each structural element in the document can have multiple version identifiers, allowing the system to divide content into targeted segments for different participant groups without creating entirely separate presentations.
Solution Approach 2:
A single presentation document structure serves multiple functions by incorporating version identifiers and classification tags. The same document framework can deliver customized content to different user types, making the system universally applicable while maintaining adaptability without requiring separate presentation files for each audience.
2Adaptability or versatility
If separate presentations are created for each audience, then content adaptability is improved, but the time and effort required increases substantially
Solution Approach 1:
Multiple content versions are prepared in advance and embedded within the single presentation document structure during the initial creation phase. Version identifiers and classification tags are pre-assigned to different content variants, so that when the presentation is delivered, the system can automatically select appropriate versions without requiring separate preparation of multiple complete presentations.
Solution Approach 2:
Multiple audience-specific content versions are merged into a single presentation document. Instead of creating separate presentations for different audiences, the system combines all versions within one document structure, using version identifiers to distinguish between different content variants suitable for different user attributes.
3Ease of operation
If content is reduced to the lowest common denominator, then all participants can understand the material, but the information quality and relevance deteriorates
Solution Approach 1:
Different portions of the presentation are assigned different quality levels and technical depths based on the intended audience segment. Each structural element can have multiple versions with varying information depth, allowing the system to deliver high-quality, detailed content to expert users while providing simplified content to less technical participants, rather than uniforming all content to the lowest common denominator.
Data Source
AI summary
Methods, systems, and products are disclosed for creating a voice response grammar in a voice response server including identifying presentation documents for a presentation, each presentation document having a presentation grammar. Typical embodiments include storing each presentation grammar in a voice response grammar on a voice response server. In typical embodiments, identifying presentation documents for a presentation includes creating a data structure representing a presentation and listing at least one presentation document in the data structure representing a presentation. In typical embodiments listing the at least one presentation document includes storing a location of the presentation document in the data structure representing a presentation and storing each presentation grammar includes retrieving a presentation grammar of the presentation document in dependence upon the location of the presentation document.