Spiking Reflective Processing Model for Stress-Inspired Adaptive Robot Partner Applications

Inareal-worldenvironment,asocialrobotisconstantlyrequiredtomakemanycriticaldecisionsin anambiguousanddemanding(stressful)environment.Hence,abiologicalstressresponsesystem modelisagoodgaugeindicatortojudgewhentherobotshouldreacttosuchenvironmentandadapt itselftowardstheenvironmentchanges.ThisworkistoimplementtheSmerek’sreflectiveprocessing modelintohuman-robotcommunicationapplicationwherereflectiveprocessingistriggeredduring suchsituationswherethebestactionisnotknown.Theauthorswanttoinvestigatehowtoaddress betterthehuman-robotcommunicationproblemswiththefocusonreflectiveprocessingmodelin theperspectivesofworkingmemory,SpikingNeuralNetwork(SNN)andstressresponsesystem. TheauthorshadappliedtheirproposedSpikingReflectiveProcessingmodelforthehuman-robot communicationapplicationinauniversitypopulation.Theinitialexperimentalresultsshowedthe positiveattitudechangesbeforeandafterthehuman-robotinteractionexperiment. KeywoRdS Adaptive Systems, Dual-Process Theory, Reflective Processing Model, Self-Preservation, Social Robotic, Spiking Neural Network, Stress Response System, Working Memory

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