Conversational Agent Sub-dialogue Orchestration for Mental Health Care
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Solution Overview
Problem
Current voice-driven computing systems are inadequate for complex psychotherapy interactions, which require handling numerous turns and nuanced patient-therapist interactions, unlike simpler tasks like checking the weather or confirming medication timing.
Innovation Solution
A conversational agent comprising multiple sub-dialogue units, each delivering an element of a care protocol, orchestrated by an orchestrator that manages the sequence of sub-dialogue units, utilizing natural language understanding, dialogue planning, and natural language generation modules to mimic human-like interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single complex conversational agent is designed to handle all psychotherapy interactions, then it can manage the full care protocol, but the system complexity and difficulty of management increase significantly
Solution Approach 1:
The conversational agent is divided into multiple specialized sub-dialogue units, each responsible for a specific element of the care protocol (e.g., cognitive restructuring, behavioral activation). This segmentation allows each unit to be simpler and more focused while collectively handling the complete psychotherapy protocol through orchestration.
2Adaptability or versatility
If the number of sub-dialogue units is increased to cover all care protocol elements, then the system can deliver comprehensive care, but the coordination and management overhead increases
Solution Approach 1:
An orchestrator component is introduced as an intermediary that manages the interaction between multiple sub-dialogue units. The orchestrator receives user inputs, determines which sub-dialogue unit should handle each input based on the care protocol, and coordinates their responses, thereby reducing the coordination overhead that would otherwise exist between numerous independent units.
3Measurement precision
If each sub-dialogue unit handles a limited number of intents, then accuracy and efficiency improve, but the ability to handle diverse psychotherapy scenarios decreases
Solution Approach 1:
Each sub-dialogue unit is designed to handle a specific subset of intents related to its specialized function in the care protocol. This segmentation enables each unit to achieve high accuracy within its domain while the collective system maintains versatility through the comprehensive coverage of all care protocol elements across multiple units.
Solution Approach 2:
The orchestrator provides universal functionality by routing diverse user inputs to the appropriate specialized sub-dialogue units. This allows the system as a whole to handle diverse psychotherapy scenarios while each individual unit maintains focused expertise in its specific domain.
Data Source
AI summary
A conversational agent is provided for maintaining or improving the wellbeing of a user presenting with mental health needs by the delivery of a care protocol. The conversational agent comprises: a plurality of sub-dialogue units, each configured to deliver an element of the care protocol, and an orchestrator configured to present the sub-dialogue units to the user, sequentially, wherein each sub-dialogue unit and the orchestrator comprises: a natural language understanding module configured to receive an input and/or reply and determine at least one intent and, where present, at least one slot within the input and/or reply; a dialogue planning module configured to determine an output based, at least in part, on the at least one intent and/or slot associated within the input and/or reply, and a natural language generation module configured to provide the output to the user.