Enhanced Suggestive Keyboard for Communication Intensity Control
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Solution Overview
Problem
Individuals often struggle to respond appropriately in social, romantic, or business interactions using computing devices, leading to inappropriate words that can escalate tension, cause misunderstandings, and damage relationships due to unclear communication intentions.
Innovation Solution
An enhanced suggestive keyboard system that analyzes text input, determines intended and demonstrated intensity, and provides suggestions to help users communicate effectively by suggesting appropriate text phrases based on intensity scores and contextual data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users type freely without guidance, then communication speed and ease of operation improve, but inappropriate words may be used leading to misunderstandings and relationship damage
Solution Approach 1:
The system provides real-time feedback by analyzing user input and suggesting alternative phrases that better match the intended communication goal. The feedback loop continuously monitors the conversation context and adjusts suggestions to prevent inappropriate communications while maintaining user autonomy.
Solution Approach 2:
The system acts as an intermediary between the user's intended message and the actual communication output. It processes the user's input, evaluates it against the communication goal and context, and provides suggested corrections or alternatives that bridge the gap between intention and expression.
2Reliability
If the system provides detailed suggestions to improve communication appropriateness, then communication reliability improves, but device complexity and processing requirements increase
Solution Approach 1:
The system segments the complex task of communication analysis into distinct components: context analysis, intent detection, input evaluation, and suggestion generation. Each component handles a specific aspect of the communication process, making the overall system more manageable and efficient despite its comprehensive functionality.
3Reliability
If the system analyzes conversation context in real-time to provide suggestions, then communication appropriateness improves, but processing time and energy consumption increase
Solution Approach 1:
The system applies partial analysis by focusing on key aspects of the input and context that are most relevant to communication appropriateness. It performs selective evaluation rather than exhaustive analysis of all possible factors, reducing computational overhead while maintaining effective suggestion quality.
Data Source
AI summary
In an implementation, text input is received from an enhanced suggestive keyboard executing on a mobile computing device. One or more tokens are generated by dividing the text input. A value corresponding to each known token of the one or more tokens is generated and used to determine model inputs. A corpus discriminator is used to determine how likely it is that the model inputs originate from or approximate a particular corpus. An intended intensity, a demonstrated intensity, and the model inputs, are used to evaluate, using a set of memory-based predictor models, the model inputs against a particular memory-based predictor model for each of the intended intensity and the demonstrated intensity. One or more intended intensity suggestions or one or more demonstrated intensity suggestions are displayed using the enhanced suggestive keyboard.