Adapting Cloud Application Tone via User Behavior Analysis
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Solution Overview
Problem
Existing user engagement models in software as a service (SaaS) often neglect the tone of the software, leading to monotonous interactions that may not appeal to all users, despite efforts to localize language and improve user experience.
Innovation Solution
Adapting the tone of cloud-hosted application user interfaces based on user behavior patterns by analyzing digital footprints and dynamically updating tone settings, allowing for the selection of appropriate tone settings such as serious, humorous, or sarcastic tones, and integrating these into the software's strings and navigational patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the software uses a fixed monotonous tone, then the development is simple and consistent, but the user engagement and appeal decrease
Solution Approach 1:
The software tone is transformed from a static fixed value to a dynamic parameter that can change based on user behavior patterns. The system continuously monitors user interactions and automatically adjusts tone settings, making the software adaptable to different user preferences and contexts without requiring manual intervention.
Solution Approach 2:
The system automatically detects user behavior patterns and selects appropriate tone settings without requiring user configuration. The software serves itself by autonomously adapting its tone based on analyzed user preferences, eliminating the need for users to manually adjust tone parameters.
2Ease of operation
If the software dynamically adapts tone based on user behavior, then user engagement improves, but the processing complexity and data analysis requirements increase
Solution Approach 1:
The system implements a feedback loop where user interactions are continuously monitored and analyzed. The behavior detection module captures user actions, the analysis module processes this data to identify patterns, and the tone adjustment module applies appropriate tone settings based on these patterns, creating a closed-loop system that continuously improves user experience.
Solution Approach 2:
The patent introduces intermediate modules (behavior detection module, analysis module, tone adjustment module) that bridge the gap between raw user interactions and tone adaptation. These intermediary components simplify the overall process by breaking down the complex task of behavior analysis into manageable stages with clear input-output relationships.
3Measurement precision
If multiple tone settings are provided for user selection, then user preference accuracy improves, but the interface complexity increases
Solution Approach 1:
Instead of requiring users to manually select from multiple tone options, the system automatically detects user preferences through behavior analysis and applies appropriate tone settings. This self-service approach eliminates the need for complex selection interfaces while maintaining accurate preference detection through automated behavior monitoring.
Solution Approach 2:
The system performs preliminary tone adaptation by analyzing user behavior patterns and pre-selecting appropriate tone settings before the user even becomes aware of the need for tone adjustment. This proactive approach removes the burden of manual selection from the user while ensuring the tone is already optimized for their preferences.
Data Source
AI summary
Methods, systems, and computer program products for adapting the tone of the user interface of a cloud-hosted application based on user behavior patterns are provided herein. A computer-implemented method includes analyzing behavior of a user with respect to one or more software applications; automatically detecting, from a pre-established collection of multiple software tone settings, one or more appropriate software tone settings to be applied to the one or more software applications based on the analyzed behavior; dynamically updating the software tone settings of the one or more software applications, wherein updating comprises (i) defining the value for one or more strings of the one or more software applications as one or more run-time attributes and (ii) resolving the one or more run-time attributes upon detecting the one or more appropriate software tone settings; and outputting the one or more dynamically updated software applications to at least a display.