Interaction System Speech Frequency Distribution Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing interaction systems face challenges in simultaneously evoking user sympathy and inducing action, as simply imitating speech features can lead to recognition and decreased efficiency in action induction, particularly when prioritizing speech time over content and when speech characteristics like volume, pitch, and rhythm vary.
Innovation Solution
An interaction system that includes an input device to receive user speech signals, a computing device to determine speech content that aligns with an ideal frequency distribution, and an output device to output this content, effectively balancing sympathetic evocation and action induction by using speech feature values such as speech time, energy, and pitch.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the interaction interface imitates the user's speech feature value, then user sympathy is evoked, but action induction efficiency decreases
Solution Approach 1:
The system dynamically adjusts speech feature imitation based on the interaction phase. During sympathy-building phases, it imitates user speech features closely, while during action-induction phases, it reduces imitation to maintain user recognition and encourage desired actions. This dynamic adaptation resolves the contradiction by optimizing the level of imitation according to the current interaction goal.
Solution Approach 2:
The system changes key speech parameters (pitch, volume, rhythm, speech time) selectively based on the interaction context. It modifies these parameters to balance between evoking sympathy through imitation and maintaining action induction efficiency by preventing user recognition of the imitation, thus resolving the technical contradiction.
2Reliability
If the interaction interface prioritizes speech time over speech content, then sympathetic evocation is enhanced, but action induction efficiency decreases
Solution Approach 1:
The system applies different speech strategies to different parts of the interaction. It prioritizes speech time and feature imitation in segments where sympathy is needed, while emphasizing speech content quality and reducing imitation in segments where action induction is the primary goal. This localized differentiation resolves the contradiction by optimizing each segment's speech characteristics.
3Reliability
If the interaction interface imitates user speech features, then user sympathy is evoked, but user recognition of imitated speech increases
Solution Approach 1:
The system performs partial imitation of speech features rather than complete copying. It selectively imitates certain speech parameters (pitch, volume, rhythm) while deliberately leaving other parameters different enough to prevent user recognition. This partial action approach maintains sympathy evocation benefits while avoiding the harmful effect of user recognition.
Data Source
AI summary
An interaction system that interacts with a user is disclosed. The interaction system includes: an input device that receives a speech signal of the user; a computing device that determines a speech content of the interaction system for a speech content acquired from the speech signal of the user such that a frequency distribution of speech feature values of the speech content of the interaction system approaches an ideal frequency distribution; and an output device that outputs the determined speech content of the interaction system.