0000000000670635

AUTHOR

Stefano Papetti

showing 5 related works from this author

To “Sketch-a-Scratch”

2015

A surface can be harsh and raspy, or smooth and silky, and everything in between. We are used to sense these features with our fingertips as well as with our eyes and ears: the exploration of a surface is a multisensory experience. Tools, too, are often employed in the interaction with surfaces, since they augment our manipulation capabilities. “Sketch-a-Scratch” is a tool for the multisensory exploration and sketching of surface textures. The user’s actions drive a physical sound model of real materials’ response to interactions such as scraping, rubbing or rolling. Moreover, different input signals can be converted into 2D visual surface profiles, thus enabling to experience them visually…

Settore INF/01 - Informaticamultisensory interactioninteractive surfaces
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Numerical methods for a nonlinear impact model: A comparative study with closed-form corrections

2011

A physically based impact model-already known and exploited in the field of sound synthesis-is studied using both analytical tools and numerical simulations. It is shown that the Hamiltonian of a physical system composed of a mass impacting on a wall can be expressed analytically as a function of the mass velocity during contact. Moreover, an efficient and accurate approximation for the mass outbound velocity is presented, which allows to estimate the Hamiltonian at the end of the contact. Analytical results are then compared to numerical simulations obtained by discretizing the system with several numerical methods. It is shown that, for some regions of the parameter space, the trajectorie…

sound synthesis0209 industrial biotechnologyMathematical optimizationnumerical analysisaudio signal processingAcoustics and UltrasonicsDiscretizationComputer sciencePhysical system02 engineering and technologyParameter spaceEnergy conservationsymbols.namesake020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringComputer simulationSettore INF/01 - Informaticasound synthesis; numerical analysis; audio signal processingNumerical analysisMathematical analysisphysics computing020207 software engineeringimpact modelingimpact soundsEnergy conservationNonlinear systemnumerical simulationsymbolsnonlinear dynamical systemHamiltonian (quantum mechanics)
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Multisensory texture exploration at the tip of the pen

2016

A tool for the multisensory stylus-based exploration of virtual textures was used to investigate how different feedback modalities (static or dynamically deformed images, vibration, sound) affect exploratory gestures. To this end, we ran an experiment where participants had to steer a path with the stylus through a curved corridor on the surface of a graphic tablet/display, and we measured steering time, dispersion of trajectories, and applied force. Despite the variety of subjective impressions elicited by the different feedback conditions, we found that only nonvisual feedback induced significant variations in trajectories and an increase in movement time. In a post-experiment, using a pa…

3304Computer scienceRealization (linguistics)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHuman Factors and ErgonomicsMultisensory Textures02 engineering and technologyTexture (music)Multisensory textureEducationEngineering (all)Sonic Interaction DesignSonic interaction design0202 electrical engineering electronic engineering information engineeringComputer visionEngineering(all)Pen-based interaction; Pseudo-haptics; Multisensory textures; Sonic interaction designPseudo-hapticComputingMethodologies_COMPUTERGRAPHICSSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryMovement (music)Work (physics)General Engineering020207 software engineeringMultisensory textures; Pen-based interaction; Pseudo-haptics; Sonic interaction design; Human Factors and Ergonomics; Software; 3304; Engineering (all); Human-Computer Interaction; Hardware and ArchitectureHuman Factors and ErgonomicPseudo-hapticsHuman-Computer InteractionPen-based InteractionHardware and Architecture020201 artificial intelligence & image processingArtificial intelligencebusinessStylusSoftwareGraphics tabletGesture
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Path Following in Non-Visual Conditions.

2018

Path-following tasks have been investigated mostly under visual conditions, that is when subjects are able to see both the path and the tool, or limb, used for navigation. Moreover, only basic path shapes are usually adopted. In the present experiment, participants must rely exclusively on continuous, non-speech, and ecological auditory and vibrotactile cues to follow a path on a flat surface. Two different, asymmetric path shapes were tested. Participants navigated by moving their index finger over a surface sensing position and force. Results show that the different non-visual feedback modes did not affect the task's accuracy, yet they affected its speed, with vibrotactile feedback causin…

AdultMaleComputer scienceInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)Path following02 engineering and technology050105 experimental psychologyTask (project management)Haptic InterfacesPosition (vector)Feedback SensoryPhysical Stimulation0202 electrical engineering electronic engineering information engineeringmedicineHumans0501 psychology and cognitive sciencesComputer visionHuman computer interaction User interfaces Audio user interfaces Haptic interfacesAudio User InterfacesSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industry05 social sciences020207 software engineeringIndex fingerHuman Computer InteractionComputer Science ApplicationsVisualizationHuman-Computer Interactionmedicine.anatomical_structureAcoustic StimulationTouch PerceptionPath (graph theory)Task analysisAuditory PerceptionFemaleArtificial intelligenceCuesbusinessPsychomotor PerformanceGestureUser InterfacesSpatial NavigationIEEE transactions on haptics
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Might as well jump: Sound affects muscle activation in skateboarding

2014

The aim of the study is to reveal the role of sound in action anticipation and performance, and to test whether the level of precision in action planning and execution is related to the level of sensorimotor skills and experience that listeners possess about a specific action. Individuals ranging from 18 to 75 years of age - some of them without any skills in skateboarding and others experts in this sport - were compared in their ability to anticipate and simulate a skateboarding jump by listening to the sound it produces. Only skaters were able to modulate the forces underfoot and to apply muscle synergies that closely resembled the ones that a skater would use if actually jumping on a ska…

lcsh:Medicinemedicine.disease_causeSocial and Behavioral Sciencesexperience0302 clinical medicineJumpingperception and action mechanismsmuscle activation; sound feedbackHuman PerformancePsychologylcsh:Sciencemedia_commonMultidisciplinarySettore INF/01 - InformaticaMedicine (all)05 social sciencesMuscle activationMiddle AgedAnticipationSensory Systemsaction anticipation; performance; sensorimotor skills; experience; sound; muscle activation; skateboarding; action planning; movement patternsMental HealthSoundsound feedbackAuditory SystemAction planningJumpMedicineSensory Perceptionperception and action mechanisms; Anticipatory postural adjustment; Auditory InterfacesperformanceCognitive psychologyResearch ArticleHumanMuscle ContractionAdultAdolescentmedia_common.quotation_subjectCognitive NeuroscienceskateboardingBiology050105 experimental psychology03 medical and health sciencesMotor ReactionsYoung Adultsensorimotor skillsPerceptionmedicineReaction Timeaction planningHumans0501 psychology and cognitive sciencesActive listeningSports and Exercise Medicineaction anticipationmuscle activationMuscle SkeletalBiologyComputerized SimulationsAgedAnticipatory postural adjustmentMotor SystemsBehaviorAnalysis of VarianceBiochemistry Genetics and Molecular Biology (all)Electromyographylcsh:RAcoustic Stimulation; Adolescent; Adult; Aged; Analysis of Variance; Electromyography; Humans; Middle Aged; Muscle Contraction; Muscle Skeletal; Reaction Time; Skating; Young Adult; Psychomotor Performance; Sound; Agricultural and Biological Sciences (all); Biochemistry Genetics and Molecular Biology (all); Medicine (all)movement patternsAuditory InterfacesAction (philosophy)Acoustic StimulationAgricultural and Biological Sciences (all)SkatingComputer Sciencelcsh:Q030217 neurology & neurosurgeryPsychomotor PerformanceNeuroscience
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