Answer Message Recommendation Interface for Mobile Input Efficiency
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Solution Overview
Problem
The increasing difficulty in inputting messages on mobile devices due to their compact size and the need for efficient response generation to received messages, particularly in minimizing user input while ensuring accuracy.
Innovation Solution
A device with a display and processor configured to display graphics representing recommendation information for answer messages, allowing users to select and transmit answer messages with minimal input, using a tree or radial structure based on attributes like preference, importance, location, and time, and generating messages based on user content, tag information, and image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If a device is made compact and mobile, then portability is improved, but message input difficulty increases
Solution Approach 1:
The message input process is segmented into multiple stages: receiving the question message, analyzing it through natural language processing, generating multiple recommendation answer messages, and allowing the user to select from these recommendations. This segmentation reduces the manual typing burden while maintaining communication quality.
Solution Approach 2:
The device performs self-service by automatically analyzing the received question message and generating multiple recommendation answer messages without requiring full user input. The system uses natural language processing and pre-stored information to create these recommendations, which the user then only needs to review and select from.
2Ease of operation
If automated answer generation is implemented, then user input effort is reduced, but answer accuracy may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where the user reviews the automatically generated recommendation answer messages and can select, modify, or reject them. This feedback loop ensures that the final sent message accurately reflects the user's intent while still benefiting from automated generation.
Solution Approach 2:
The device performs preliminary actions by pre-storing information related to the user and analyzing the question message before generating answer recommendations. This preliminary processing includes natural language analysis and matching with stored information to create accurate recommendations that the user can then select with minimal modification.
3Reliability
If multiple recommendation messages are displayed, then response accuracy is improved, but interface complexity increases
Solution Approach 1:
The multiple recommendation answer messages are segmented and displayed in a structured format, allowing the user to easily distinguish between different options. Each recommendation is presented as a separate, clearly defined choice rather than a cluttered list, reducing the perceived interface complexity.
Solution Approach 2:
The interface presents multiple recommendations by adding a new dimension of selection rather than complicating the basic input field. Instead of making the text input more complex, the system adds a vertical dimension with multiple selectable recommendation options below the input field, organizing complexity in a spatially efficient manner.
Data Source
AI summary
An example device for transmitting an answer message includes a display configured to display information, a communicator configured to receive a question message from another device, a processor configured to control the display to display graphics representing a plurality of pieces of recommendation information which are includable in an answer message for the received question message and relations between the plurality of pieces of recommendation information, and a user input unit configured to receive a user input that selects at least one of the plurality of pieces of recommendation information, wherein the communicator is further configured to transmit an answer message including the selected recommendation information to the another device according to the user input.