Developing　multifunctional　artificial　sensory　systems　is　an　important　task　for　constructing　future　artificial　neural　networks.　A　system　with　multisignal　output　capability　is　highly　required　by　the　rising　demand　for　high-throughput　data　processing　in　the　Internet　of　Things　(IoT)　society.　Here,　a　novel　dual-output　artificial　tactile　sensing　(DOATS)　system　with　parallel　output　of　photoelectric　signals　was　proposed.　Because　of　the　ionic-electronic　coupling　mechanism　in　light-emitting　synaptic　(LES)　devices　in　the　DOATS　system,　modulating　electric　current　and　light　emission　can　coexist　through　ion　accumulation　and　electron-hole　recombination.　As　a　result,　the　DOATS　system　can　realize　the　simulation　of　human　tactile　information,　and　the　recognition　of　16　kinds　of　fabrics　was　demonstrated　with　an　accuracy　rate　of　94.1%.　A　photoelectric　hybrid　artificial　neural　network　was　proposed,　which　achieved　efficient　and　accurate　multitask　operation.　The　DOATS　system　proposed　in　this　work　is　promising　for　implementing　photoelectric　hybrid　neural　network　and　promoting　the　development　of　interactive　artificial　intelligence.　©　2022　American　Chemical　Society.　All　rights　reserved.