Published 2024 | Version v1
Conference paper Open

Adaptive Questionnaire Design Using AI Agents for People Profiling

  • 1. ROR icon University of Bucharest

Description

Creating employee questionnaires, surveys or evaluation forms for people to understand various aspects such as motivation, improvement opportunities, satisfaction, or even potential cybersecurity risks is a common practice within organizations. These surveys are usually not tailored to the individual and have a set of predetermined questions and answers. The objective of this paper is to design AI agents that are flexible and adaptable in choosing the survey content for each individual according to their personality. The developed framework is open source, generic and can be adapted to many use cases. For the evaluation, we present a real-world use case of detecting potentially inappropriate behavior in the workplace. The results obtained are promising and suggest that the decision algorithms for content selection approaches and personalized surveys via AI agents are similar to a real human resource manager in our use case.

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Dates

Available
2023