Automatic Interface Selection for IVR Systems
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Solution Overview
Problem
Interacting with automated systems can be inefficient due to differences in user familiarity with the interface, as users often require explicit requests to switch to alternate interfaces, which may not be conveniently accessible.
Innovation Solution
Implementing a usage detection module that determines a user's level by analyzing interaction patterns, such as time to reach a dialog or input failures, to automatically switch between standard, specialized, and robust interfaces during interactions, optimizing the interface selection in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standard interface is provided for automated system interaction, then the system can operate with a fixed structure, but interaction efficiency deteriorates when users have varying levels of familiarity with the interface
Solution Approach 1:
The interface system dynamically switches between standard and alternate interfaces based on detected user familiarity levels. The usage detection module continuously monitors interaction patterns and automatically transitions the interface presentation without requiring manual user intervention, making the system adaptive rather than static.
Solution Approach 2:
The system automatically detects user familiarity levels through the usage detection module and self-adjusts the interface presentation without requiring users to manually request alternate interfaces. The system serves itself by monitoring its own performance metrics and making autonomous decisions about interface optimization.
2Productivity
If alternate interfaces are made available to accommodate different user familiarity levels, then interaction efficiency can be improved, but accessing these alternate interfaces becomes inconvenient as users must know about their existence and make explicit requests
Solution Approach 1:
The usage detection module automatically detects when a user would benefit from an alternate interface and initiates the switch without requiring the user to know about alternate interfaces or make explicit requests. The system monitors interaction patterns and autonomously optimizes the interface presentation.
Solution Approach 2:
The system performs preliminary analysis of user familiarity through the usage detection module before the user even requests an interface change. By continuously monitoring interaction patterns, the system is already prepared to switch to an optimized interface presentation, making the transition seamless and requiring no user action.
3Extent of automation
If the system monitors usage patterns to detect user familiarity levels, then automatic interface selection can be achieved, but the system complexity and computational requirements increase
Solution Approach 1:
The usage detection module continuously monitors interaction patterns and provides feedback to the interface selection logic. This feedback loop enables automatic detection of user familiarity levels and triggers appropriate interface switches without complex manual configuration or intervention.
Data Source
AI summary
The automatic selection of interfaces can result in the optimization of interaction between entities. Such selection of interfaces can be applied specifically in the context of interactive voice response systems, and can allow the interface presented to a caller to be optimized based on factors including the caller's usage of the system.