Prompt Delivery System for Authentic Emotion Capture
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Solution Overview
Problem
Users face challenges in capturing authentic emotions in photographs and videos due to the difficulty in recalling or finding the right prompts, as individuals react differently to given phrases, and existing technologies lack effective methods to evoke genuine emotions.
Innovation Solution
A system comprising an Application Host Device and a software application with a two-stage filter and a curated library of prompts, which uses a Prompt Delivery System to project emotive phrases, directions, images, or animations to evoke specific reactions from live subjects, allowing for quick and effective emotion capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a comprehensive book of effective phrases is used, then the variety of emotion-evoking prompts increases, but the ease of operation decreases due to the extremely large combination of scenarios and difficulty in recalling or searching for the correct phrase
Solution Approach 1:
The system segments the comprehensive prompt library into two distinct filtering stages: first filtering by subject type (human, animal, object) and then by desired emotion. This segmentation transforms an overwhelming single-stage search into a manageable two-step process, making the large prompt library accessible and easy to navigate.
Solution Approach 2:
The two-stage filter acts as an intermediary between the user and the comprehensive prompt library. Instead of directly searching through all prompts, users interact with the filter system that mediates the selection process by narrowing down options based on subject type and emotion, thereby simplifying the operation.
2Reliability
If individualized reaction patterns are considered, then the accuracy of emotion evocation improves, but the device complexity increases due to the need for personalized prompt selection
Solution Approach 1:
The system applies local quality by creating specific prompt subsets tailored to different subject types (humans, animals, objects) and different emotion categories. Each combination has its own curated prompts optimized for that specific context, ensuring high accuracy without requiring a single complex personalized system for each user.
Solution Approach 2:
The system performs preliminary action by pre-organizing and pre-tagging prompts according to subject type and emotion categories before use. This advance preparation eliminates the need for complex real-time personalization algorithms, reducing device complexity while maintaining the ability to accurately match prompts to individual subject-emotion combinations.
3Productivity
If a two-stage filter system is implemented, then the productivity of prompt selection improves, but the device complexity increases due to the additional filtering layer
Solution Approach 1:
The filter system is segmented into two independent, simple stages: subject type filtering followed by emotion filtering. Each stage handles a single dimension of classification, keeping individual filter components simple while achieving high productivity through the sequential combination of these simple stages.
Data Source
AI summary
A system for a user taking photographs or videos to help evoke genuine emotions of one or a plurality of live camera subjects, comprising a digital device with a processor, a display, and system memory, a software application with a graphical user interface installed on the digital device or a remote server, wherein said application is used to store, manage, access, and view metadata tagged prompts, a pre-loaded library of metadata tagged prompts, wherein said prompts being emotive phrase(s), direction(s), image(s), sound(s), and/or animation(s), wherein said application has a two-stage filter to successively refine the list of prompts to be presented to the user, and a prompt delivery system to convey prompts to one or a plurality of live camera subjects.