Adaptive Information Presentation Based on User Competence
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Solution Overview
Problem
Conventional computers lack the ability to identify a user's competence level within a specific domain and adapt the information provided to align with that competence, leading to inefficient data consumption, as users may encounter content that is either too complex or too rudimentary.
Innovation Solution
A system and method that utilize a controller to gather utilization and competence data during a computing session, determining the domain and competence level of the user, and dynamically adjust the presentation of data by providing contextual information or hiding remedial/advanced content based on the user's expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional computers provide general information without adapting to user competence, then information coverage is comprehensive, but information relevance deteriorates
Solution Approach 1:
The system performs preliminary analysis of user competence level by monitoring utilization data, gathering competence data, and determining domain expertise before presenting information. This preliminary assessment enables the system to pre-adapt information presentation to match user needs, avoiding the problem of providing either too basic or too advanced content.
Solution Approach 2:
The system dynamically adjusts information presentation based on real-time assessment of user competence. By continuously monitoring utilization patterns and adapting the complexity and type of information provided, the system transforms from a static information delivery mechanism to a dynamic one that responds to user capabilities.
2Productivity
If conventional computers provide comprehensive data without filtering, then information completeness is maintained, but data consumption efficiency deteriorates
Solution Approach 1:
The system applies local quality by providing different levels of information detail to different users based on their specific competence levels. Instead of uniform information delivery, the system tailors the complexity, depth, and type of information to match each user's domain expertise, thereby improving consumption efficiency without sacrificing overall completeness.
Solution Approach 2:
The system changes parameters of information presentation based on user competence assessment. By adjusting parameters such as information complexity, technical depth, and presentation format according to measured user capabilities, the system optimizes data consumption efficiency while maintaining information completeness through adaptive filtering.
3Ease of operation
If conventional computers present uniform information to all users, then system complexity is low, but user experience quality deteriorates
Solution Approach 1:
The system implements self-service by automatically assessing user competence levels through monitoring utilization data and analyzing interaction patterns. Instead of requiring manual user input or complex configuration, the system serves itself by gathering competence data and determining appropriate information presentation levels autonomously, improving user experience without proportionally increasing operational complexity.
Solution Approach 2:
The system uses feedback mechanisms by continuously monitoring user utilization data and adjusting information presentation based on observed competence levels. This closed-loop approach allows the system to refine its understanding of user capabilities and adapt information delivery accordingly, enhancing user experience through data-driven adjustments.
Data Source
AI summary
Utilization data of a computer by a user during a session is gathered. A domain in which the user is utilizing the computer during the session is identified as reflected by the utilization data. Competence data on how competent the user is with the domain is gathered. The competence data relates to how the user interacts with the computer during the session. A competence level of the user for the domain is determined based on the competence data.