Vehicle Digital Assistant Emotion Control From Sensor Events
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Solution Overview
Problem
Existing digital assistants in vehicles lack the ability to seamlessly express and convey emotions to users based on real-time vehicle conditions, limiting their interaction and engagement with drivers and passengers.
Innovation Solution
A control device that receives sensor data from various vehicle sensors, uses lookup tables to determine events and associated emotions, and adjusts acoustic and visual parameters of the digital assistant to express these emotions through voice messages and visual representations, enhancing user interaction in both driving and non-driving modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital assistants in vehicles are made to express emotions based on real-time vehicle conditions, then user interaction and engagement are improved, but system complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The system segments emotion expression into distinct acoustic parameters (pitch, tone, volume, speech rate) that can be independently adjusted based on vehicle conditions. Each parameter is controlled separately through specific processing blocks, allowing granular emotion expression without requiring complete system redesign.
Solution Approach 2:
The digital assistant system is designed to serve multiple functions: it processes data from various sensors (acceleration, temperature, humidity, pressure), determines different emotion types (excitement, calmness, anger, sadness), and adjusts multiple acoustic parameters simultaneously. This multi-functional design allows a single system to handle diverse emotion expression needs.
2Measurement precision
If multiple sensors are integrated to detect vehicle conditions for emotion expression, then emotion detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The system merges data from multiple sensors (acceleration sensor, temperature sensor, humidity sensor, pressure sensor) into a unified emotion determination process. The control device integrates these diverse sensor inputs and processes them together to determine overall vehicle condition and corresponding emotions, reducing the need for separate processing paths for each sensor.
Solution Approach 2:
The control device acts as an intermediary that receives and processes sensor data before transmitting it to the digital assistant. It determines vehicle conditions based on sensor inputs and translates these conditions into appropriate emotion types, serving as a mediator between raw sensor data and emotion expression.
3Adaptability or versatility
If acoustic parameters are dynamically adjusted to reflect emotions, then user engagement is enhanced, but processing time and computational load increase
Solution Approach 1:
The system pre-establishes the relationship between vehicle conditions and emotion types through configured rules and lookup tables. When a vehicle condition is detected, the corresponding emotion and acoustic parameters are quickly retrieved and applied, avoiding complex real-time calculations and reducing processing time.
Solution Approach 2:
The system changes acoustic parameters (pitch, tone, volume, speech rate) directly in response to detected vehicle conditions. By focusing on adjusting these specific parameters rather than generating entirely new speech patterns, the system achieves efficient real-time emotion expression with minimal processing overhead.
Data Source
Figure 1~2
AI summary
A control device (1) for adjusting a digital assistant of a vehicle (10) in a driving mode and a non-driving mode of the vehicle (10) is provided. The control device (1) is configured to receive (S1) sensor data from at least one sensor (2) of the vehicle (10) in the driving mode or the non-driving mode, determine (S2) an event based on the received sensor data using at least one lookup table, retrieve (S3) an emotion associated with the determined event from the at least one lookup table, adjust (S4) at least one acoustic parameter of the digital assistant based on the retrieved emotion, and control (S5) the digital assistant to express the retrieved emotion by providing a voice massage associated with the retrieved emotion, using the adjusted at least one acoustic parameter.