CROSS-TEXT MODAL PREFERENCE SYSTEMATIZATION (CTP-S): A DYNAMIC FRAMEWORK FOR PERSONALITY PREDICTION VIA MUSIC PREFERENCES

Yubo Xiong

doi:10.71411/jassp.2025.423

Authors

Yubo Xiong 18982844952 Author

DOI:

https://doi.org/10.71411/jassp.2025.423

Keywords:

Music preferences, personality traits, CTP-S model, cross-modal mapping, dynamic prediction

Abstract

Music preference, as an explicit behavioral marker of psychological traits, carries structured personality representations, yet existing research is constrained by three critical limitations: inadequate cross-cultural adaptability of Western-centric scales in interpreting non-Western music systems; neglect of cognitive dimensions in traditional models like the Big Five; and static analytical frameworks ignoring scenario-behavior dynamics.

This study proposes the Cross-Text Preference-Systematization (CTP-S) model, integrating MBTI cognitive structure, FPA motivational color theory, and CAPS situational dynamics to establish a cross-modal mapping mechanism from music preference to personality. Empirical results validate significant multi-dimensional correlations with distinct scenario dependency—introverts favor instrumental solos in private settings while extraverts prefer high-tempo music socially. The model achieves high prediction accuracy (up to 90.21% for MBI/FPA classification).

Theoretically, this work breaks through static frameworks by constructing a "cognition-motivation-context" triadic paradigm, bridging neural mechanisms and cultural theories. Methodologically, it realizes multimodal fusion of lyrics, audio, and behavioral data, offering technical paths for personalized mental health intervention and intelligent humancomputer interaction. Future research will enhance cross-cultural applicability and explore neural encoding mechanisms.

Author Biography

Yubo Xiong, 18982844952

China

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