0000000000984615

AUTHOR

Pierpaolo Iodice

showing 4 related works from this author

The role of synergies within generative models of action execution and recognition: A computational perspective. Comment on "Grasping synergies: A mo…

2015

Controlling the body – given its huge number of degrees of freedom – poses severe computational challenges. Mounting evidence suggests that the brain alleviates this problem by exploiting “synergies”, or patterns of muscle activities (and/or movement dynamics and kinematics) that can be combined to control action, rather than controlling individual muscles of joints [1–10]. D’Ausilio et al. [11] explain how this view of motor organization based on synergies can profoundly change the way we interpret studies of action recognition in humans and monkeys, and in particular the controversy on the “granularity” of the mirror neuron system (MNs): whether it encodes either (lower) kinematic aspects…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazionisynergiesMirror NeuronHand Strengthgenerative modelsAnimalArtificial IntelligenceMotor ActivityHuman
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You cannot speak and listen at the same time: a probabilistic model of turn-taking.

2017

Turn-taking is a preverbal skill whose mastering constitutes an important precondition for many social interactions and joint actions. However, the cognitive mechanisms supporting turn-taking abilities are still poorly understood. Here, we propose a computational analysis of turn-taking in terms of two general mechanisms supporting joint actions: action prediction (e.g., recognizing the interlocutor's message and predicting the end of turn) and signaling (e.g., modifying one's own speech to make it more predictable and discriminable). We test the hypothesis that in a simulated conversational scenario dyads using these two mechanisms can recognize the utterances of their co-actors faster, wh…

EngineeringGeneral Computer ScienceInterpersonal RelationComplex systemTurn-taking050105 experimental psychology[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Precondition[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]03 medical and health sciences[SCCO]Cognitive science0302 clinical medicineHearingProduction (economics)HumansSpeech0501 psychology and cognitive sciences[INFO]Computer Science [cs]Interpersonal RelationsDialogueComputingMilieux_MISCELLANEOUSCognitive scienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniModels Statisticalbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesComputer Science (all)Statistical modelCognitionTurn-takingJoint actionSignalingAction (philosophy)Dynamics (music)[SCCO.PSYC]Cognitive science/PsychologyArtificial intelligencebusiness030217 neurology & neurosurgeryHumanBiotechnologyAction predictionBiological cybernetics
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The role of synergies within generative models of action execution and recognition: A computational perspective

2015

Controlling the body – given its huge number of degrees of freedom – poses severe computational challenges. Mounting evidence suggests that the brain alleviates this problem by exploiting “synergies”, or patterns of muscle activities (and/or movement dynamics and kinematics) that can be combined to control action, rather than controlling individual muscles of joints [1–10]. D’Ausilio et al. [11] explain how this view of motor organization based on synergies can profoundly change the way we interpret studies of action recognition in humans and monkeys, and in particular the controversy on the “granularity” of the mirror neuron system (MNs): whether it encodes either (lower) kinematic aspects…

Computer sciencebusiness.industryDegrees of freedomProbabilistic logicGeneral Physics and AstronomyInferenceMotor control[SCCO.COMP]Cognitive science/Computer scienceRoboticsGenerative model[SCCO]Cognitive scienceAction (philosophy)Artificial Intelligence[SCCO.PSYC]Cognitive science/PsychologyArtificial intelligenceGeneral Agricultural and Biological SciencesbusinessMirror neuronComputingMilieux_MISCELLANEOUS
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Avoiding accidents at the champagne reception: A study of joint lifting and balancing

2017

Using a lifting and balancing task, we contrasted two alternative views of planning joint actions: one postulating that joint action involves distinct predictions for self and other, the other postulating that joint action involves coordinated plans between the coactors and reuse of bimanual models. We compared compensatory movements required to keep a tray balanced when 2 participants lifted glasses from each other’s trays at the same time (simultaneous joint action) and when they took turns lifting (sequential joint action). Compared with sequential joint action, simultaneous joint action made it easier to keep the tray balanced. Thus, in keeping with the view that bimanual models are reu…

Action predictionAdultPsychology (all)joint actionaction synchronicityMotor Activity050105 experimental psychologyTask (project management)03 medical and health sciencesYoung Adult0302 clinical medicineHuman–computer interaction0501 psychology and cognitive sciencesaction predictionCooperative BehaviorGeneral PsychologySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCommunicationbusiness.industry05 social sciencespredictionbalancingJoint actionAction (philosophy)Action planJoint (building)businessPsychology030217 neurology & neurosurgeryPsychomotor PerformanceHuman
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