MP01-02 SKILL ACQUISITION AND COGNITIVE LOAD, UTILIZING THREE DIFFERENT FORMS OF EXPERT-BASED FEEDBACK DURING SIMULATION-BASED ROBOTIC SKILLS TRAINING: A COMPARATIVE ANALYSIS

Abstract

You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment I1 Apr 2018MP01-02 SKILL ACQUISITION AND COGNITIVE LOAD, UTILIZING THREE DIFFERENT FORMS OF EXPERT-BASED FEEDBACK DURING SIMULATION-BASED ROBOTIC SKILLS TRAINING: A COMPARATIVE ANALYSIS Prabhakar Mithal, Brett Teplitz, Yongsoo Joo, Noorullah Maqsoodi, Karen Chong, Katherine Stewart, Henry Keenan, Stephen Hassig, Hongyi Kang, Scott Echternacht, Changyong Feng, and Ahmed Ghazi Prabhakar MithalPrabhakar Mithal More articles by this author , Brett TeplitzBrett Teplitz More articles by this author , Yongsoo JooYongsoo Joo More articles by this author , Noorullah MaqsoodiNoorullah Maqsoodi More articles by this author , Karen ChongKaren Chong More articles by this author , Katherine StewartKatherine Stewart More articles by this author , Henry KeenanHenry Keenan More articles by this author , Stephen HassigStephen Hassig More articles by this author , Hongyi KangHongyi Kang More articles by this author , Scott EchternachtScott Echternacht More articles by this author , Changyong FengChangyong Feng More articles by this author , and Ahmed GhaziAhmed Ghazi More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.108AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Simulation training involves didactic instruction, practice and expert feedback, which consumes considerable faculty teaching time. Consequently, novel teaching methods not requiring expert in-person attendance have been explored. We investigate the effectiveness of delivering expert feedback remotely (YouTube) or self-directed training using expert demonstration videos compared to the standard in-person expert feedback, during robotic simulation training. METHODS 15 medical students were recruited after IRB approval. Students were quasi-randomized into 3 groups (online remote expert feedback, self-directed training using expert instructional videos & in-person expert feedback). Following an instructional session and pre-test, all participants completed 4 DVSSS tasks to proficiency (Pegboard 2, Camera clutch 2, Ring Rail 3, Suture sponge 3). NASA-TLX survey was completed after each training session to assess cognitive effort. Outcomes included, number of repetitions to reach proficiency and cognitive effort during training. RESULTS For simple tasks no difference was observed between feedback modalities. Complex tasks (Ring rail 3 & Suture sponge 3) required significantly fewer repetitions in both in-person and remote expert feedback compared to the self-training group using expert instructional videos (figure 1A). On the contrary, NASA-TLX scores were lower in the self-training group (figure 1B). On separate analysis of the 6 effort NASA-TLX scales a significantly higher frustration score (how discouraged, irritated participants felt during the task), temporal demand (how pressured participants felt to complete the task) and performance scale (how successful participants felt in completing the task) were seen in the remote group, in-person expert group and self-learning group respectively. CONCLUSIONS Our findings suggest that expert remote feedback using social networking was as effective as standard expert feedback in robotic skill acquisition for complex tasks. In this limited cohort, various forms of feedback negatively impacted different aspects of cognitive workload, implying that a combination of various types of feedback may optimize skill acquisition without impacting mental workload. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e1 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Prabhakar Mithal More articles by this author Brett Teplitz More articles by this author Yongsoo Joo More articles by this author Noorullah Maqsoodi More articles by this author Karen Chong More articles by this author Katherine Stewart More articles by this author Henry Keenan More articles by this author Stephen Hassig More articles by this author Hongyi Kang More articles by this author Scott Echternacht More articles by this author Changyong Feng More articles by this author Ahmed Ghazi More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...