As　the　textile　industry　in　China　is　heavily　polluted,　this　study　explores　the　design　of　a　smart　sewing　device　for　recycling　used　clothing　based　on　multi-modal　Interaction　to　create　a　fun　way　to　collect　used　clothing,　for　users　who　have　a　need　to　recycle　and　a　desire　to　transform　used　clothing.　User　needs　for　online　and　offline　services　are　identified　through　the　KANO　model　user　needs　analysis.　With　the　analysis　of　the　user＇s　channel　characteristics　and　the　operating　tasks　of　the　smart　sewing　device,　the　quantitative　requirements　of　the　user　VACP　channel　resources　for　different　operating　interfaces　of　the　smart　sewing　device　are　obtained,　and　specific　design　strategies　are　proposed　to　guide　the　completion　of　the　design　practice.　Furthermore,　product　iterations　and　optimizations　are　carried　out　based　on　the　feedback　results　to　initially　validate　the　effectiveness　of　multi-modal　Interaction　mechanisms　in　VACP　theory　for　the　design　of　smart　sewing　devices.