Despite　the　widespread　recognition　of　artificial　intelligence’s　advantages,　it　cannot　replace　human　independent　thinking　and　creativity,　especially　in　fields　such　as　artistic　design　that　require　creativity.　Previous　studies　often　examined　its　development　trends　from　the　perspective　of　technical　advantages　or　application　processes.　This　study　explores　the　attitudes　and　acceptance　of　creative　industry　practitioners　towards　Artificial　Intelligence　Generated　Content　(AIGC)　from　the　perspective　of　user　behavior　modification.　Utilizing　the　Stimulus-Organism-Response　Model　(SOR)　as　the　theoretical　background,　this　research　integrates　the　Technology　Acceptance　Model,　Theory　of　Planned　Behavior,　and　Self-Efficacy　to　form　the　research　framework.　By　employing　a　mixed-method　approach　combining　quantitative　and　qualitative　analyses,　data　from　226　designers　were　explored,　and　structural　equation　modeling　was　used　to　verify　the　correlations　between　endogenous　factors.　The　results　indicate　that　users’　facilitating　conditions　significantly　influence　self-efficacy,　which　in　turn　determines　their　intention　to　adopt　AIGC.　Additionally,　semi-structured　interviews　revealed　that　factors　hindering　the　widespread　application　of　AIGC　mainly　encompass　legal　security,　ethical　risks,　and　fairness.　This　study　extends　the　application　scope　of　the　Stimulus-Organism-Response　Model　(SOR),　enriches　the　Technology　Acceptance　Model,　and　provides　a　new　research　framework　for　the　application　of　AIGC　in　the　creative　industry,　detailing　the　responsibilities,　processes,　and　content　of　designers　in　the　Artificial　Intelligence　Generated　Design　(AIGD)　process.　Copyright　©　2024　Wang　and　Chen.