Adaptive Lighting Control via Conversational Context Analysis
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Solution Overview
Problem
Current smart home voice assistants require explicit voice commands for lighting control, which can be cumbersome due to high cognitive load and limited context awareness, as they often necessitate specific vocabulary and syntax, and only partially account for emotional states.
Innovation Solution
A system that uses conversational input to determine activities and locations, allowing for adaptive lighting control by analyzing conversational signals, identifying suitable light settings, and controlling light devices accordingly, even without explicit location mention, using a combination of audio and text signals, presence sensors, and mobile device interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If explicit voice commands are used for lighting control, then lighting can be controlled, but cognitive load increases and user convenience deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing conversational input to determine user activity and location, then autonomously selecting and applying appropriate light settings without requiring users to issue explicit commands or remember specific vocabulary
Solution Approach 2:
The patent replaces the mechanical voice command system with an acoustic analysis system that processes natural conversation sounds to infer user intent and automatically controls lighting based on detected activities and locations
2Reliability
If voice assistants require specific vocabulary and syntax, then commands can be recognized, but ease of operation deteriorates due to high cognitive load
Solution Approach 1:
Instead of requiring users to conform to predefined command structures, the system inverts the approach by allowing users to speak naturally and having the system adapt its interpretation to the user's conversational patterns and intent
3Adaptability or versatility
If lighting control is based on emotional state only, then context awareness is improved, but adaptability deteriorates due to limited situational coverage
Solution Approach 1:
The patent merges multiple information sources including acoustic analysis of conversations, location data, and activity recognition to create a comprehensive context understanding that goes beyond simple emotional state detection
Data Source
AI summary
A system (1) for adapting a lighting control interface is configured to receive a signal indicative of conversational input from a user, analyze the conversational input, determine an activity and a location (14) based on the analysis, select a stored activity matching the activity from a plurality of activities stored in a memory, each of the plurality of activities being associated with a light setting in the memory, obtain a light setting associated with the selected activity from the memory, identify a light device (24) at the location based on the determined location, and adapt a lighting control interface (27) to allow the light device at the location to be controlled according to the determined light setting in response to receiving an input via the lighting control interface.


