Large Monitors Reduce Tracking Error in Robot-Assisted Visual-Motor Tasks

dc.contributor.author Stroppa, Fabio
dc.contributor.author Stroppa, Fabıo
dc.contributor.author Amirabdollahian, Farshid
dc.contributor.author Frisoli, Antonio
dc.contributor.other Computer Engineering
dc.date.accessioned 2023-10-19T15:11:48Z
dc.date.available 2023-10-19T15:11:48Z
dc.date.issued 2022
dc.department-temp [Stroppa, Fabio] Kadir Has Univ, Comp Engn Dept, Istanbul, Turkey; [Amirabdollahian, Farshid] Univ Hertfordshire, Dept Comp Sci, Hatfield, Herts, England; [Frisoli, Antonio] Scuola Super Sant Anna, TeCIP Inst, Human Robot Interact Lab, Ghezanno, Italy en_US
dc.description 15th IEEE International Conference on Human System Interaction (HSI) -- JUL 28-31, 2022 -- Trobe Univ, Melbourne, AUSTRALIA en_US
dc.description.abstract Robot-assisted rehabilitation often makes use of virtual environments to present the therapy tasks. Virtual reality has the ability of providing valuable visual feedback and enjoyable interaction to the patients; therefore, the way they are displayed to users becomes crucial. Is the monitor size an important feature that influences how the task is perceived and thus affects patients' performance? This study on healthy participants investigates the influence of displays in perceiving haptic effects. The participants performed an experiment using an end-effector robot, where they followed a moving target around a trajectory while disturbed by a simulated perturbation and assisted by an adaptive algorithm. The experiment was presented on two different monitors to assess whether a different size affects their performance. Statistically significant results show that the performance achieved with the large monitor features lower error compared to the small monitor, implying that large monitors might be a better solution for rehabilitation with virtual tasks and assistive robots. en_US
dc.description.sponsorship Trobe Univ, Ctr Data Analyt & Cognit,IEEE,IEEE Ind Elect Soc en_US
dc.identifier.citationcount 0
dc.identifier.isbn 978-1-6654-6822-0
dc.identifier.issn 2158-2246
dc.identifier.scopus 2-s2.0-85137883219 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/5225
dc.identifier.wos WOS:000861739100050 en_US
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartof 2022 15th International Conference on Human System Interaction (Hsi) en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject Field-Of-View
dc.subject Display Size
dc.subject Information Capacity
dc.subject Stroke
dc.subject Field-Of-View En_Us
dc.subject Performance
dc.subject Display Size En_Us
dc.subject Information Capacity En_Us
dc.subject Rehabilitation
dc.subject Stroke En_Us
dc.subject Feedback
dc.subject Performance En_Us
dc.subject Rehabilitation En_Us
dc.subject Improves
dc.subject Feedback En_Us
dc.subject Therapy
dc.subject Improves En_Us
dc.subject Therapy En_Us
dc.subject visual-motor tracking en_US
dc.subject Office
dc.subject vision dominance en_US
dc.subject Office En_Us
dc.subject rehabilitation robotics en_US
dc.title Large Monitors Reduce Tracking Error in Robot-Assisted Visual-Motor Tasks en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication
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