Question Output Controller for Dynamic Survey Difficulty
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing systems for distributing questionnaires do not effectively select and present questions based on the time difference between an event and the expected response time, leading to suboptimal user engagement and response quality.
Innovation Solution
An information processing apparatus that includes a question output controller which selects and outputs an easier question to respond from multiple questions based on the time difference between the event-associated date and time and the expected response date and time, considering factors such as response choices and character length, to optimize user response timing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If difficult questions are presented to respondents, then response quality may improve through thorough consideration, but user engagement and completion rates deteriorate due to respondent fatigue and abandonment
Solution Approach 1:
The patent applies dynamics by making question difficulty adjustable based on respondent characteristics and context. The system dynamically selects between easy and difficult questions depending on factors like time since event, respondent expertise, and question position in the survey, rather than using fixed difficulty levels for all respondents
Solution Approach 2:
The patent implements local quality by differentiating question difficulty across different positions in the questionnaire and for different respondent groups. Easy questions are placed strategically to maintain engagement, while difficult questions are used selectively when higher response quality is prioritized, creating non-uniform question distribution tailored to local needs
2Productivity
If easy questions are presented to respondents, then user engagement and completion rates improve, but response quality may deteriorate due to superficial answers
Solution Approach 1:
The system dynamically adjusts question difficulty based on real-time factors including the time elapsed since the event, respondent answers to previous questions, and overall survey progress. This allows the questionnaire to adapt its difficulty level during administration rather than maintaining a static difficulty structure
Solution Approach 2:
The patent changes the parameter of question difficulty based on multiple factors such as time since event, respondent characteristics, and question position. By varying this parameter strategically, the system optimizes the balance between maintaining engagement and ensuring adequate response quality for different survey objectives
3Measurement precision
If questionnaires are distributed immediately after events, then response relevance and accuracy improve, but respondent burden increases leading to lower completion rates
Solution Approach 1:
The patent segments the questionnaire into multiple parts or batches that can be administered at different times after the event. This segmentation allows respondents to answer questions in smaller, more manageable portions rather than facing a single large burden, while still capturing relevant information across different time points
Solution Approach 2:
The system dynamically determines question difficulty and distribution timing based on the time elapsed since the event. As time progresses, the system adapts question selection and difficulty levels to account for both declining memory/relevance and respondent fatigue, optimizing the balance between these competing factors
Data Source
AI summary
An information processing apparatus includes a question output controller that selects and outputs an easier question to respond from plural questions as a time difference between a time associated with an event and an expected response time that is a time at which a respondent of a question about the event is likely to respond is larger.