This　study　addresses　the　limitations　in　existing　privacy　protection　mechanisms　by　proposing　a　novel　subjective　privacy　information　model.　Our　model　analyzes　privacy　information　from　the　subject＇s　perspective,　identifying　it　as　a　combination　of　subjects　and　privacy　attributes　in　various　environments.　Utilizing　quantum　decision　theory,　we　establish　a　measure　framework　for　subjective　willingness　to　expose　privacy　information.　Additionally,　we　quantify　the　degree　of　privacy　attribute　attachment　through　subject　anonymization.　The　resulting　subjective　privacy　information　sensitivity　measure　framework　incorporates　willingness　to　expose　privacy　attributes　and　attachment　degree.　By　collecting　diverse　individuals＇　attitudes　in　different　environments,　we　explore　and　validate　the　model＇s　insights　into　privacy　information　properties.　This　research　establishes　a　theoretical　foundation　for　future　subject-centered　privacy　protection　strategies,　aiming　to　enhance　their　effectiveness.　©　2024　IEEE.