Physiological Sensor System for Developer Emotion Analysis
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Solution Overview
Problem
Current design processes often fail to accurately capture user emotions and experiences, leading to a lack of empathy and understanding among developers, which can result in unresolved issues and unsatisfactory user interactions with products or applications.
Innovation Solution
A system utilizing sensors and a controller to compare user emotion classifications with developer emotion classifications, generated through virtual reality simulations and cognitive analysis, to create a prioritized backlog of potential issues for resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If developers review user experience information through traditional methods, then the process is simple and quick, but developers fail to accurately understand user emotions and experiences
Solution Approach 1:
The patent replaces traditional mechanical review methods with physiological sensing technology. Sensors detect developers' physiological markers (heart rate, skin conductance, etc.) while they experience user scenarios, and this biological data is processed to classify emotions objectively, substituting subjective visual inspection with physiological measurement.
Solution Approach 2:
The patent introduces physiological markers as an intermediary between the developer's internal emotional state and the external analysis system. The sensors capture these markers, which serve as measurable proxies for emotions, allowing the system to infer emotional states without directly accessing the developer's subjective experience.
2Measurement precision
If developers directly experience user scenarios without simulation, then the process is straightforward, but developers cannot accurately perceive user sensorial experiences
Solution Approach 1:
The patent creates a virtual reality copy of the user's experience scenario. Instead of requiring developers to undergo the actual physical user experience, the system generates a simulated version that replicates the sensorial and emotional conditions, allowing developers to experience and analyze user scenarios in a controlled environment.
Solution Approach 2:
The virtual reality simulation acts as an intermediary between the original user experience and the developer's perception. It translates complex sensorial experiences into a format that developers can experience and analyze, bridging the gap between actual user interaction and developer understanding.
3Measurement precision
If the system collects detailed physiological data from developers, then emotion classification accuracy improves, but data processing complexity increases
Solution Approach 1:
The system processes physiological data in real-time as it is collected, performing cognitive analysis continuously during the experience session. This self-service approach allows the system to maintain high precision without requiring complex post-processing, as the analysis occurs concurrently with data generation.
Solution Approach 2:
The system implements feedback loops where physiological data is continuously monitored and analyzed, with results fed back to refine emotion classification in real-time. This iterative process improves accuracy by allowing the system to adjust its analysis based on evolving physiological patterns during the experience.
Data Source
AI summary
A system including sensors configured to provide physiological markers of a developer and a controller configured provide information indicative of a user experience to the developer while receive signals from the sensors. The controller is configured to utilize cognitive analysis determine developer emotion responses as the developer receives the user experience. The controller compares a developer emotion classification with a user emotion classification of a user as the user generated the user experience. The system generates a prioritized backlog to identify points where emotion responses between user and developer are in common, or where emotion responses between user and developer differ.