Affective Response Data Collection via Software Agent Intermediation

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Solution Overview

Problem

There is a need for a framework to collect and utilize affective response data while ensuring user privacy and managing resource constraints, as existing methods risk privacy infringement and resource depletion without providing adequate control over data usage and compensation.

Innovation Solution

A system that includes a collection module and a crowd-based results generator module, allowing users to set policies for data collection and sharing, with software agents negotiating and managing data usage and compensation, ensuring privacy considerations and resource optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If measurements of affective response are collected and shared with other parties, then crowd-based results and personalized experiences can be generated, but user privacy is at risk of infringement

Engineering Contradiction:

Improvecrowd-based results generationVSAvoiduser privacy risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

A software agent is introduced as an intermediary between the user and the affective response measurement system. The software agent negotiates data sharing policies, manages consent, and controls what measurements are shared with third parties, thereby enabling crowd-based results generation while protecting user privacy through controlled intermediation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments user data control into multiple layers: individual user preferences, software agent policies, and system-level regulations. This segmentation allows different levels of data sharing for different purposes, enabling productive use of affective response data while maintaining granular privacy protection

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If affective response measurements are continuously collected, then comprehensive user models and personalized experiences can be created, but device resources such as battery power are depleted

Engineering Contradiction:

Improveuser affective response accuracyVSAvoiddevice battery consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

Instead of continuous measurement, the system implements periodic sampling of affective response measurements based on user policies and contextual needs. The software agent determines optimal measurement intervals, allowing comprehensive user modeling over time while significantly reducing battery consumption compared to continuous monitoring

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system collects measurements selectively based on policy conditions and contextual relevance rather than universally and continuously. This partial action approach gathers sufficient data for accurate user modeling in critical scenarios while avoiding unnecessary resource consumption during low-priority periods

Inventive Principle:

Principle #16Partial or excessive action

3Quantity of substance

If users are compensated for providing measurements, then data collection participation increases, but system complexity and negotiation overhead increase

Engineering Contradiction:

Improvenumber of measurements providedVSAvoidnegotiation and policy management complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The software agent autonomously manages compensation negotiations and policy enforcement without requiring direct user intervention for each measurement exchange. The agent handles compensation calculations, policy compliance checks, and data sharing agreements automatically, increasing measurement participation while containing system complexity through automation

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11232466B2Recommendation for experiences based on measurements of affective response that are backed by assurances

Publication Date: 2022.01.25 AFFECTOMATICS

AI summary

Some aspects of this disclosure include systems, methods, and/or computer programs that may be used to collect measurements of affective response of users and to utilize the collected measurements to generate a crowd-based result, such as a score for an experience which the users had. Some embodiments described herein involve sending requests for measurements of affective response to software agents operating on behalf of the users. The requests may provide details regarding the type of measurements requested and may also provide assurances. The assurances may relate to various aspects such as the number of users whose measurements are to be used to generate the crowd-based result, the disclosure of the crowd-based result (e.g., regarding the recipients of the crowd-based result), and the compensation for providing the measurements. Software agents that accept the assurances and have relevant measurements may provide the measurements, which are then utilized to generate the crowd-based result.