Activity-Based Cognitive Questions for Personalized Memory Training
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile computing device applications for cognitive exercise lack personalization and engagement, often using generic stimuli that fail to effectively address individual user needs and promote neuroplasticity.
Innovation Solution
A computer-implemented method generates cognitive questions based on user activity data, including social media, location, and calendar data, tailored to individual user profiles, with dynamic selection and presentation, and incorporates a reward system to incentivize interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic preprogrammed stimuli are used for cognitive exercise, then the application can serve a broad number of users, but the personalization and engagement are insufficient
Solution Approach 1:
The system performs preliminary actions by collecting and storing user activity data (location history, social media data, purchase history, calendar data) in advance before cognitive questions are generated. This pre-collection of data enables personalized question generation without requiring complex real-time processing during the cognitive exercise session.
Solution Approach 2:
The system uses the user's own activity data to generate personalized cognitive questions, allowing the data to serve dual purposes: both as a record of user behavior and as the basis for creating tailored cognitive challenges. The user's existing digital footprint automatically becomes the foundation for personalized content without requiring additional input from the user.
2Adaptability or versatility
If user activity data is accessed and processed, then personalized cognitive questions can be generated, but data privacy and security requirements increase
Solution Approach 1:
The system extracts only the specific data elements needed for question generation from the user's activity data, rather than collecting or storing unnecessary information. By selectively extracting only relevant data points (such as recent locations or events) and using them immediately to generate questions, the system minimizes data retention and reduces privacy risks.
3Ease of operation
If dynamic question selection is implemented, then user engagement improves, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-processing user activity data and organizing it into structured formats that facilitate quick question generation. By preparing the data in advance and establishing clear rules for question selection based on data types and user preferences, the system enables dynamic personalization without requiring intensive real-time computation during each cognitive exercise session.
Data Source
AI summary
A method for cognitive question generation and presentation is provided. The method accesses activity data associated with a mobile computing device. The method generates a set of cognitive questions representing at least a portion of the activity data and generates an answer set for each cognitive question. The method dynamically selects one or more cognitive questions from the set of cognitive questions. The method generates a question interface presented by the mobile computing device and causes presentation of the selected cognitive question within the question interface.