As　the　aging　population　grows　and　birth　rates　decline,　the　number　of　elderly　people　living　alone　is　increasing.　With　the　rapid　development　of　digital　technologies,　digitization　has　gradually　become　a　part　of　elderly　people＇s　daily　lives.　However,　the　needs　of　elderly　individuals　living　alone　are　often　overlooked.　They　face　insufficient　intergenerational　support　and　various　barriers　to　using　the　internet,　making　it　challenging　for　them　to　engage　in　smart　community　activities.　Studies　have　shown　that　＂digital　feedback＂　is　an　effective　way　to　help　older　adults　bridge　the　digital　divide.　This　study　is　based　on　the　Stimulus-Organism-Response　(SOR)　model　and　combines　the　Technology　Acceptance　Model　(TAM)　with　the　Theory　of　Planned　Behavior　(TPB)　to　build　a　structural　equation　model.　The　results　show　that　perceived　usefulness,　perceived　ease　of　use,　perceived　behavioral　control,　subjective　norms,　and　facilitating　conditions　significantly　influence　the　intention　of　elderly　individuals　living　alone　to　participate　in　activities　in　smart　community　spaces.　Additionally,　perceived　ease　of　use　is　affected　by　perceived　behavioral　control　and　subjective　norms,　while　facilitating　conditions　have　a　significant　impact　on　perceived　behavioral　control.　This　study　further　expands　the　applicability　of　the　SOR　theory　in　understanding　the　behaviors　of　elderly　users.　The　findings　aim　to　empower　community　information　platforms,　build　digital　homes,　create　intelligent　community　spaces,　and　enhance　aging　services.　By　integrating　virtual　and　physical　environments,　we　seek　to　optimize　smart　community　systems　for　aging　populations,　ensuring　better　alignment　with　the　living　needs　of　elderly　individuals　living　alone.　©　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG　2025.