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This chapter explores a hybrid approach to digital psychometrics, merging classical personality modeling with real-time telemetry to create adaptive and ethically aware user experiences. Inspired by the growing need to understand the silent patterns of human motivation before disengagement emerges, this proposal bridges data, psychology, and human-centered design. The system combines the Big Five personality model with behavioral telemetry indicators to dynamically adjust web interfaces according to users’ psychological and contextual profiles. The React-based architecture enables the ethical acquisition of demographic, sensorial, and behavioral metrics, operating entirely under informed consent principles. It then processes this information to compute hybrid indices such as NoveltySeeking, StabilityPref, QualityPriceIndex, and CongruenceGap, which jointly describe motivational and socioeconomic coherence. Moreover, the platform implements ethical telemetry by recording non-intrusive interactions, including click frequency, navigation speed, and interface changes, as proxies of cognitive and emotional states. Additionally, the framework supports local data persistence, export to JSON or CSV, and optional integration with OpenAI for advanced psychometric analysis. Consequently, this system provides a reproducible foundation for computational psychometrics, AI-driven behavioral analysis, and personalized digital adaptation in ethical and transparent ways.

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Computational Psychometrics for Ethical Digital Adaptation: A Hybrid Framework Integrating Personality Modeling and Behavioral Telemetry

  • 会议论文

  • 发表日期：

    2026年

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  • Mauricio Mora,
  • Maria C. Moreno,
  • Oscar J. Suarez

摘要

This chapter explores a hybrid approach to digital psychometrics, merging classical personality modeling with real-time telemetry to create adaptive and ethically aware user experiences. Inspired by the growing need to understand the silent patterns of human motivation before disengagement emerges, this proposal bridges data, psychology, and human-centered design. The system combines the Big Five personality model with behavioral telemetry indicators to dynamically adjust web interfaces according to users’ psychological and contextual profiles. The React-based architecture enables the ethical acquisition of demographic, sensorial, and behavioral metrics, operating entirely under informed consent principles. It then processes this information to compute hybrid indices such as NoveltySeeking, StabilityPref, QualityPriceIndex, and CongruenceGap, which jointly describe motivational and socioeconomic coherence. Moreover, the platform implements ethical telemetry by recording non-intrusive interactions, including click frequency, navigation speed, and interface changes, as proxies of cognitive and emotional states. Additionally, the framework supports local data persistence, export to JSON or CSV, and optional integration with OpenAI for advanced psychometric analysis. Consequently, this system provides a reproducible foundation for computational psychometrics, AI-driven behavioral analysis, and personalized digital adaptation in ethical and transparent ways.