In-Vehicle Voice Response Personalization for Concise User Feedback
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Solution Overview
Problem
Conventional voice input response systems provide uniform responses to all users, leading to insufficient convenience.
Innovation Solution
An information processing apparatus that identifies occupants of a vehicle and adjusts the degree of conciseness of responses to voice input based on the identified user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform responses are provided to all users, then system simplicity is maintained, but user convenience deteriorates
Solution Approach 1:
The system applies different response conciseness levels to different users based on their individual characteristics. The controller identifies each user and selects appropriate response patterns from multiple types (concise, standard, detailed) according to user-specific attributes, making the response quality locally optimized for each user rather than uniformly applied to all users.
Solution Approach 2:
The system dynamically adjusts response characteristics based on real-time user identification and context. The controller can switch between different response types (concise, standard, detailed) depending on the identified user's preferences and the specific interaction context, making the system adaptive rather than static.
2Loss of information
If detailed responses are provided to all users, then information completeness is improved, but interaction efficiency deteriorates
Solution Approach 1:
The system provides different levels of information detail to different users based on their identification results. For users who need comprehensive information, detailed responses are provided, while for users who prefer brevity, concise responses are delivered, optimizing the information-completeness-to-efficiency ratio for each user individually.
Solution Approach 2:
The system changes the parameter of response conciseness based on user identification. The controller adjusts the level of detail in responses by selecting from multiple response types, effectively changing the information density parameter to match each user's needs and preferences.
Data Source
AI summary
An information processing apparatus includes a controller configured to control a function according to voice input from an occupant of a vehicle, identify the occupant, and adjust degree of conciseness of a response to the voice input depending on the identified occupant.