Cue Data Models for Adaptive Collaborative Memory Recall
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Solution Overview
Problem
Conventional social networking systems fail to tailor information to individual users, often inundating them with irrelevant personal experiences and lacking mechanisms to facilitate memory recall, especially for users with analog memories or declining memory abilities, and do not account for varying relationships between users.
Innovation Solution
A collaborative recollection engine that uses sensory stimuli and psychological techniques to evoke memory recall, allowing users to enrich and share memories with controlled access, using cues and adaptive presentation to tailor experiences based on user attributes and relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional social networking systems publish personal experiences to all friends, then information sharing is simplified, but users receive irrelevant information and experience information overload
Solution Approach 1:
The patent implements granular permission settings that allow different levels of access (view only, comment, edit, delete) for different user groups (friends, family, colleagues, public). This enables the same memory to have different qualities of access for different audiences, resolving the contradiction by making information sharing easy while maintaining relevance through targeted visibility.
Solution Approach 2:
The system dynamically adapts memory presentation based on user attributes, relationships, and contextual factors. Memories are not statically published to all or nothing, but dynamically tailored to each viewer's relevance, solving the contradiction between ease of sharing and information relevance.
2Device complexity
If social networking systems use binary content control (all or nothing), then content management is simplified, but users with declining memory abilities cannot effectively recollect or share memories
Solution Approach 1:
The patent segments the binary content control into multiple granular permission levels (view only, comment, edit, delete) and temporal controls (immediate publication, scheduled publication, draft). This segmentation provides intermediate options that reduce complexity while supporting users with memory challenges through structured, step-by-step memory sharing processes.
Solution Approach 2:
The system performs preliminary actions by providing memory cues, suggestions, and structured templates before users create or share memories. This preliminary support helps users with declining memory abilities by preparing them in advance, reducing the complexity of the sharing process while improving reliability of memory recollection.
3Adaptability or versatility
If social networking systems display memories from loose associations (friend of friend), then network connectivity is enhanced, but users receive foreign or unwanted experiences
Solution Approach 1:
The patent introduces relationship-based permission systems and user attribute filtering as intermediaries between memory publishers and viewers. These intermediaries control the flow of information based on verified relationships and contextual relevance, maintaining network connectivity while filtering out harmful or irrelevant experiences from loose associations.
4Ease of manufacture
If social networking systems provide uniform content to all users, then system implementation is simplified, but users cannot receive personalized and relevant experiences
Solution Approach 1:
The system changes parameters such as user attributes, relationship types, and contextual factors to dynamically adjust memory presentation. This allows the system to maintain a unified implementation structure while adapting content delivery to individual users, resolving the contradiction between ease of implementation and personalization capability.
Data Source
AI summary
Various embodiments relate generally to data science, data analysis, and computer software and systems to apply psychological science and principles to provide an interface for facilitating memory recall, and, more specifically, to a computing and data storage platform that facilitates recall of one or more memories collaboratively and adapts presentation of the one or more memories. In some examples, a method may include identifying data representing a subset of stimuli, determining a cue as data representing a supplemental stimulus, and adapting a recollection based on the supplemental stimulus.


