Information Processing Device Selecting Speech Characteristics
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Solution Overview
Problem
Existing voice recognition systems fail to effectively notify users of the characteristics of agent devices, such as their specialties and limitations, leading to users not fully utilizing the device's capabilities and potentially losing interest due to unawareness of its features.
Innovation Solution
An information processing device and system that generates and outputs system speech including device characteristic information relevant to the interaction with the user, selecting and incorporating this information into the conversation to naturally notify the user of the device's characteristics during their interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If device characteristic information is transmitted through explanation manuals or videos, then users can obtain knowledge about device characteristics, but users may fail to confirm the information and most users use the device without knowing its characteristics
Solution Approach 1:
The system performs preliminary action by proactively notifying users of device characteristics before the user actually needs to know them. The notification is triggered based on predicted user needs, so the information is prepared and delivered in advance, ensuring users receive relevant characteristic information at the right moment without having to search for it manually.
Solution Approach 2:
The system implements feedback by monitoring user interactions and using this information to dynamically adjust what characteristic information to notify users about. The notification system responds to user behavior patterns, creating a closed-loop system where user actions inform subsequent information delivery, ensuring characteristics are notified based on actual user context and needs.
2Loss of information
If the agent device notifies users of all its characteristics, then users become fully aware of capabilities and limitations, but the notification process becomes complex and interrupts natural interaction
Solution Approach 1:
The system applies local quality by notifying users of specific device characteristics selectively rather than uniformly. Different characteristics are notified at different times based on user context and predicted needs. The notification content is localized to what is relevant for the current interaction situation, making the complex information set manageable and context-appropriate.
Solution Approach 2:
The system performs preliminary analysis of user needs and predicts which device characteristics will be relevant before notifications are sent. This advance preparation allows the system to filter and prioritize characteristic information, reducing the complexity of the notification process while ensuring comprehensive information delivery when needed.
3Ease of operation
If the device selects characteristic information relevant to interaction topics, then notification becomes natural and timely, but requires complex analysis of interaction context
Solution Approach 1:
The system uses feedback from ongoing user interactions to dynamically determine which device characteristics to notify users about. By continuously monitoring interaction context and user responses, the system adapts its notification strategy in real-time, making the complex context analysis transparent and the resulting notifications appear natural and timely rather than pre-programmed.
Solution Approach 2:
The system performs preliminary analysis of interaction context to predict relevant device characteristics before users actually need the information. This advance context analysis and prediction reduces the apparent complexity during actual interaction, as the system has already processed and prepared the relevant characteristic information based on predicted user needs.
Data Source
AI summary
Implemented is a configuration of being able to reliably notify a device characteristic to a user by naturally generating and outputting a system speech including the device characteristic during an interaction with the user. The configuration includes a data processing section that generates and outputs a system speech including device characteristic information. The data processing section selects device characteristic information that is relevant to what is talked about during an interaction between the user and the information processing device, and generates and outputs a system speech including the selected device characteristic information. The data processing section receives an input of information of a user selection made to an option presented to the user, includes device characteristic information that is relevant to the inputted selection information into a system speech to be executed in an interaction with the user, and outputs the system speech.