Interactive Bot for Objective Human Trait Assessment
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Solution Overview
Problem
Current methods for data collection, such as personal interviewing and computer-based self-interviewing, face challenges including high costs, respondent discomfort due to human presence, and lack of engagement leading to inconsistent answers.
Innovation Solution
The development of computerized bots for interactive communications that can collect information through conversations, analyze human traits, and provide assessments, utilizing a bot engine manager, multimodal assessor, and trait-based conversation facilitator to facilitate efficient and objective data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personal interviewing is used to collect data, then data quality and engagement are improved, but cost and time consumption increase
Solution Approach 1:
The patent creates a virtual interviewer bot that copies the data collection capabilities of human interviewers while eliminating their costs. The bot replicates the interviewing function through automated conversation, maintaining data quality without requiring human resources.
Solution Approach 2:
The patent replaces the mechanical system of human interviewers with an automated bot system. This substitution transforms the manual data collection process into an automated computational process, improving efficiency while maintaining measurement precision through consistent, standardized questioning.
2Productivity
If computer-based self-interviewing is used to improve efficiency, then cost and time are reduced, but engagement and data consistency worsen
Solution Approach 1:
The virtual interviewer bot implements feedback mechanisms by analyzing user responses in real-time and adapting the conversation flow accordingly. This ensures consistent data collection while maintaining user engagement through dynamic interaction, preventing the inconsistency problems of static self-interviews.
Solution Approach 2:
The bot system combines multiple functions into a single automated interviewer that can conduct standardized questioning, analyze responses, adapt conversation flow, and ensure data consistency simultaneously. This multi-functionality resolves the trade-off by making the efficient computer-based system as reliable as personal interviewing.
3Measurement precision
If human interviewers are used to ensure engagement, then data quality improves, but cost increases
Solution Approach 1:
The virtual interviewer bot performs self-service by automatically conducting interviews, analyzing responses, and generating reports without human intervention. This eliminates the need for human interviewers while maintaining data quality, reducing system complexity from human resource management to automated software execution.
4Productivity
If automated systems are used to reduce cost, then productivity improves, but engagement and response quality worsen
Solution Approach 1:
The bot system is designed to be dynamic, adapting its conversation flow and questioning based on user responses. This dynamic behavior maintains user engagement and response quality while preserving the cost efficiency of automation, as the system adjusts in real-time rather than following rigid static protocols.
Data Source
AI summary
The present teaching relates to obtaining information from a user via a bot. In one example, a request is obtained to collect information in connection with a user. A statement is generated to be expressed to the user for facilitating a conversation between the user and the bot based on the request. Information is received in connection with the user and collected during the conversation. The collected information characterizes the user in a plurality of modalities. The collected information is automatically analyzed in the plurality of modalities to obtain an assessment of one or more human traits of the user. A plurality of result summaries are generated based on the assessment. The plurality of result summaries are provided in response to the request.