Digital Picture Frame Sentiment Analysis for Automated Image Selection

Solution Overview

Problem

Current image management technologies require users to manually review and select images based on their mood or experiences, which is time-consuming and often results in users not revisiting their photos despite wanting to.

Innovation Solution

A system that automatically identifies and displays images based on user sentiment and preferences by analyzing user profile information, sentiment data from social media, and environmental context, using a digital picture frame with sensors and software engines to select and display images that match the user's current emotional state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually review and select images based on their mood or experiences, then image selection accuracy is improved, but time consumption increases

Engineering Contradiction:

Improveimage selection accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system automatically performs image selection by analyzing user sentiment from social media data and matching it with image sentiments, eliminating the need for manual user intervention. The computer identifies user sentiment, determines associations with image sentiments, selects matching images, and displays them automatically, allowing the system to serve itself rather than requiring continuous manual curation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual review process with an automated computational system that uses sentiment analysis algorithms. Instead of users manually examining and selecting images, the system automatically analyzes user profile information, social media data, and image metadata to identify and display relevant images, substituting human cognitive effort with computational processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If users manually curate their photo collections, then image relevance to user mood is improved, but user effort increases

Engineering Contradiction:

Improveimage relevanceVSAvoiduser effort

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically performs image selection by analyzing user sentiment from social media data and matching it with image sentiments, eliminating the need for manual user intervention. The computer identifies user sentiment, determines associations with image sentiments, selects matching images, and displays them automatically, allowing the system to serve itself rather than requiring continuous manual curation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system introduces sentiment analysis as an intermediary mechanism between the user and the image collection. Instead of users directly examining and selecting images, the sentiment analysis process acts as a mediator that automatically identifies user mood through social media data and translates it into relevant image selections, reducing direct user effort while maintaining relevance.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Ease of operation

If automated image selection is implemented, then user effort is reduced, but image selection accuracy may deteriorate

Engineering Contradiction:

Improveuser effortVSAvoidimage selection accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent replaces the mechanical manual review process with an automated computational system that uses sentiment analysis algorithms. Instead of users manually examining and selecting images, the system automatically analyzes user profile information, social media data, and image metadata to identify and display relevant images, substituting human cognitive effort with computational processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses user profile information and social media data as feedback mechanisms to continuously understand user sentiment and preferences. By analyzing this feedback data, the system refines its image selection process, ensuring that automated selections remain accurate and relevant to the user's current mood and experiences.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10929080B2Empathetic image selection

Publication Date: 2021.02.23 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

An approach is provided for selecting and displaying one or more images. A determination is made that a user is in a proximity to a digital picture frame. Weather information is received from a weather sensor coupled to the digital picture frame. The weather information specifies a current weather of a geographic location that includes the digital picture frame. Based on the current weather, an emotional state of the user is determined. Based on user profile information corresponding to the user, image(s) included in multiple images are determined to convey the emotional state of the user. Based on the emotional state of the user and the image(s) conveying the emotional state, the image(s) are displayed on a display included in the digital picture frame.