The　trend　in　technological　development　is　to　utilize　AI-based　methods　to　optimize　workflows　and　swiftly　achieve　desired　objectives.　Despite　extensive　exploration　into　the　principles,　acceptance,　and　application　modes　of　new　technologies,　the　research　on　the　compatibility　of　artificial　intelligence　with　work　tasks　remains　limited.　This　study　integrates　the　Stimulus-Organism-Response　(SOR)　model　as　a　framework,　combining　Task　Technology　Fit　(TTF),　and　Technology　Acceptance　Model　(TAM),　employing　a　mixed　research　approach　that　combines　qualitative　and　quantitative　methods　to　analyze　data　from　226　designers.　Structural　equation　modeling　is　utilized　to　validate　research　hypotheses.　The　findings　reveal　that　perceived　usefulness　and　perceived　security　significantly　influence　designers＇　behavioral　intention　to　use　Artificial　Intelligence　Generated　Content　(AIGC).　Moreover,　Technology　Characteristics　significantly　impact　technological　compatibility　and　perceived　ease　of　use,　while　technological　compatibility　significantly　affects　perceived　usefulness.　This　study　extends　the　application　scope　of　the　SOR　theory,　enriches　the　research　on　technological　compatibility　of　AIGC　in　the　creative　design　industry,　explores　the　application　process　of　human-machine　collaborative　innovation,　provides　valuable　theoretical　validation　for　the　study　of　designers＇　behavior　in　using　AIGC,　and　discusses　the　key　factors　in　transforming　AIGC　into　Artificial　Intelligence　Generated　Design　(AIGD).