Book Title: Multidisciplinary Research Nexus: Exploring Intersections of Knowledge
Editor: Prof. Amos R
Chapter: 5
DOI: https://doi.org/10.59646/559/5
Authors: Moulyashree K M, Amos R
Abstract
Personality profiling for children can support early detection of developmental differences, inform pedagogy, and personalize interventions. Speech is a rich, noninvasive behavioral channel that encodes affect, prosody, and linguistic content—signals that correlate with personality traits. This paper reviews the state of the art in speech-based personality assessment, outlines a principled AI framework tailored for children (ages 3–12), proposes recommended datasets and evaluation protocols, and discusses ethical, legal, and developmental challenges. We synthesize recent advances in acoustic and linguistic embeddings, self-supervised speech models, and multimodal approaches, and we illustrate how child-specific adaptations (age-aware modeling, robust ASR for child speech, privacy-preserving pipelines) are necessary for reliable profiling. We conclude by proposing a research roadmap emphasizing longitudinal validation, fairness across demographics, and participatory design with caregivers and clinicians.