Intelligent Agent Hint System for Electronic Device Operation

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Solution Overview

Problem

Users face difficulties in understanding and effectively utilizing the functions of intelligent agents in electronic devices, leading to incorrect recognition of user inputs and unintended operations due to lack of prior knowledge and explicit recognition of the agent's capabilities.

Innovation Solution

An electronic device with a touch screen display, wireless communication circuit, microphone, speaker, and processor that stores reference sequences of states associated with operations, allowing users to input sequences that are compared to stored references to provide hints and execute intended operations through voice or touch inputs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the electronic device provides a virtualized intelligent agent without explicit recognition, then the device complexity is reduced and operation is simplified, but the user learning curve increases and operation reliability decreases

Engineering Contradiction:
Improveoperation simplicityVSAvoidoperation reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system provides feedback to users by displaying hint information that shows example voice inputs and expected operations. This feedback loop allows users to learn the intelligent agent's capabilities and usage patterns, improving operation reliability while maintaining simplicity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary action by pre-collecting and analyzing user inputs and device operations to generate hint information before users need it. This allows the system to proactively provide relevant usage hints that guide users on how to effectively use the intelligent agent.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If the electronic device collects and analyzes user inputs to generate hints, then the user learning experience is improved and operation reliability increases, but the loss of time for data processing increases

Engineering Contradiction:
Improveoperation reliabilityVSAvoiddata processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary action by continuously collecting and analyzing user inputs in the background to generate hint information before users need it. This proactive approach allows the system to have hints ready when users interact with the intelligent agent, reducing perceived processing time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system changes parameters by adjusting the timing and triggering conditions for hint display. Hints are shown at optimal moments based on user behavior patterns, balancing the need for information with the desire to minimize interruption and processing time.

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If the electronic device provides comprehensive hint information, then the ease of operation improves and user learning is enhanced, but the loss of information due to information overload increases

Engineering Contradiction:
Improveease of operationVSAvoidinformation overload
Core Design Contradiction:
Ease of operationVSLoss of information

Solution Approach 1:

The system applies local quality by providing customized hint information tailored to each user's specific needs, behavior patterns, and context. Rather than providing generic comprehensive hints, the system delivers targeted information that is most relevant to the user's current situation, reducing information overload while maintaining ease of operation.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11582337B2Electronic device and method of executing function of electronic device
Publication Date: 2023.02.14 SAMSUNG ELECTRONICS CO LTD
  • US11582337B2 patent drawing
  • US11582337B2 patent drawing
  • US11582337B2 patent drawing

AI summary

An artificial intelligence system and method are disclosed herein. The system includes a processor which implements the method, including: receiving by an input unit a first user input including a request to execute a task using at least one of the electronic device or an external device, transmitting by a wireless communication unit first data associated with the first user input to an external server, receiving a first response from the external server including information associated with at least one of the first user input and a sequence of electronic device states for performing at least a portion of the task, receiving a second user input assigning at least one of a voice command and a touch operation received by a touch screen display as the request to perform the task, and transmitting second data associated with the second user input to the external server.