Biometric Agent Analysis System for Empathy Correlation

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Solution Overview

Problem

Current systems for improving customer service agent performance in call centers face challenges in collecting and understanding biometric measurements, which can interfere with work and are limited to basic stress tracking, lacking correlations with empathy levels and comprehensive performance enhancement.

Innovation Solution

A method and system that measure and analyze various biometric data such as blood pressure, heart rate, and facial expressions to correlate with performance and empathy scores, providing recommendations to improve agent performance and health by routing communications effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If biometric measurements are collected during agent handling of communications, then stress levels can be tracked, but the collection process interferes with agent work and decreases performance levels

Engineering Contradiction:
Improvebiometric measurement accuracyVSAvoidagent performance
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The biometric measurement device automatically collects data without requiring agent intervention or awareness. The device worn by the agent passively monitors physiological parameters (heart rate, blood pressure, skin conductance) during customer interactions, eliminating the need for manual measurement procedures that would disrupt workflow and reduce performance.

Inventive Principle:
Principle #25Self-service

2Device complexity

If limited biometric measurements such as blood pressure and heart rate are used, then basic stress tracking is achieved, but comprehensive performance and empathy analysis is not possible

Engineering Contradiction:
Improvemeasurement system simplicityVSAvoidbiometric data comprehensiveness
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The biometric measurement device integrates multiple sensing capabilities into a single unified system. It simultaneously measures physiological parameters (heart rate, blood pressure), behavioral indicators (facial expressions via integrated camera), and communication metrics (voice stress analysis), enabling comprehensive performance and empathy assessment without requiring multiple separate devices.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If biometric measurements are correlated with performance scores, then performance improvement recommendations can be provided, but the correlation mechanisms and empathy measurement are not well understood

Engineering Contradiction:
Improveperformance correlation accuracyVSAvoidempathy level measurement
Core Design Contradiction:
ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system continuously collects biometric data during customer interactions and provides real-time feedback to agents through a display interface. It shows performance scores, stress levels, and empathy indicators, along with actionable recommendations for improvement. This closed-loop feedback mechanism enables agents to adjust their behavior based on objective measurements, gradually improving performance and empathy skills through iterative learning.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10448887B2Biometric customer service agent analysis systems and methods
Publication Date: 2019.10.22 MATTERSIGHT CORP
  • US10448887B2 patent drawing
  • US10448887B2 patent drawing
  • US10448887B2 patent drawing

AI summary

Devices, systems, and methods to receive and analyze biometric measurements from a customer service agent are provided. The analysis of the biometric measurements may be used to identify correlations between the biometric measurements, agent health, and agent performance. These correlations may then be used to route communications to the agent and/or modify the performance and/or increase the heath of the agent. The biometric measurements may also be correlated to an empathy level of the agent.