Questionnaire Aggregation Apparatus Respondent Importance Calculation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing questionnaire evaluation technologies do not accurately reflect the degree of importance felt by respondents, as evaluation scores are determined by the creator rather than the respondent's perception.
Innovation Solution
A method and apparatus that calculate the degree of importance of selected options based on the respondent's selection manner, such as order or time taken, to reflect the respondent's perceived importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If evaluation scores are determined by the questionnaire creator based on degree of importance, then the evaluation process is simple and efficient, but the evaluation results do not reflect the respondent's perceived importance
Solution Approach 1:
The system enables respondents to self-determine the degree of importance of each option through their selection behavior (selection order, time taken, number of selections). This self-service mechanism replaces the creator-determined evaluation scores with respondent-driven importance indicators, resolving the contradiction by making the evaluation both efficient (automatically captured from response data) and accurate (reflecting actual respondent perception).
Solution Approach 2:
The system captures feedback from respondent behavior (selection patterns, timing, frequency) and uses this feedback to calculate degree of importance. This feedback loop transforms raw response data into meaningful importance metrics, allowing the evaluation to reflect respondent perception while maintaining computational efficiency through automated analysis of response patterns.
2Measurement precision
If a matrix form with evaluation scales is used for each option, then the degree of importance can be directly captured, but the respondent burden increases and answer completion rate deteriorates
Solution Approach 1:
The system extracts degree of importance information from the natural response behavior itself (selection order, time taken, number of selections) rather than requiring separate evaluation scale inputs. This extraction approach captures importance data as a byproduct of the normal answering process, eliminating the need for additional matrix-form evaluation scales and thus reducing respondent burden while maintaining measurement accuracy.
Solution Approach 2:
The system makes the multiple-option question serve multiple functions: it simultaneously collects both the substantive answer choices and the degree of importance indicators through the same response mechanism. This multi-functionality eliminates the need for separate importance rating scales, reducing the overall questionnaire length and complexity while capturing both types of information efficiently.
Data Source
AI summary
An information processing method to be executed by a computer comprises: accessing a questionnaire answer consisting of one or more options selected from a plurality of options prepared in advance as answers to each of a plurality of questions, and information recorded as a selection manner in which the one or more options are selected; and calculating a degree of importance of each of the selected one or more options, based on the information recorded as the selection manner.