Automated Supplemental Media Selection Based on User Competence
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Solution Overview
Problem
Users often struggle to understand the context of media objects, especially when they are unfamiliar with the associated location or are distracted, leading to a need for supplemental media objects to enhance comprehension.
Innovation Solution
An apparatus and method that automatically selects supplemental media objects based on user competence, using a processor to receive information related to a media object and determine user understanding through factors like past experience and current activity, to provide additional context via position information and media objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If supplemental media objects are provided to enhance user comprehension, then user understanding is improved, but device complexity increases
Solution Approach 1:
The system automatically assesses user competence and selects supplemental media objects without manual intervention. The processor evaluates user characteristics, media object characteristics, and context information to autonomously determine what supplemental content to provide, eliminating the need for users to manually request or configure such content.
Solution Approach 2:
The system uses context information including user characteristics and media object characteristics as feedback to dynamically adjust the selection of supplemental media objects. This feedback loop allows the system to adapt to different user competencies and provide appropriately tailored supplemental content.
2Ease of operation
If automated selection of supplemental media objects is implemented, then ease of operation is improved, but processing time increases
Solution Approach 1:
The system pre-assesses user competence and pre-selects potential supplemental media objects based on available context information before the user actually requests content. By performing these assessments and selections in advance, the system minimizes processing delays when the user interacts with the media object.
Solution Approach 2:
The automated selection process operates autonomously without requiring user input or manual configuration, improving ease of operation while the efficient processing algorithms minimize the time overhead of this automated functionality.
Data Source
AI summary
In accordance with an example embodiment of the invention, an apparatus comprising a processor configured to receive information related to a media object, and automatically select at least one supplemental media object based at least in part on a competency of a user related to the media object is disclosed.