[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-297983-105":59,"doc-detail-297983-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","an-automated-test-of-motor-skills-for-job-selection-and-feedback","An Automated Test of Motor Skills for Job Selection and Feedback","","Motor skills are essential for many blue-collar roles, yet automated assessment and actionable feedback have been largely missing. This paper presents tablet touch-screen, app-based gamified tests designed to measure motor skills through controlled finger, hand, and arm movements. The resulting app scores strongly predict job performance across three occupational roles, supporting scalable, reliable touch-screen testing. The study also establishes baseline evidence that the approach can be used for job selection and automatic feedback provision.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/an-automated-test-of-motor-skills-for-job-selection-and-feedback/297983/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/an-automated-test-of-motor-skills-for-job-selection-and-feedback/297983.png","ImageObject",300,407,{"name":92,"@type":93},"Aladdin","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-09-18",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why are automated motor-skill assessments needed for job selection?","Question",{"text":112,"@type":113},"Many blue-collar jobs require moderate to high motor skills, but there are no automated ways to test these skills and provide feedback. The paper motivates scalable assessment for hiring and self-improvement.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the proposed system measure motor skills?",{"text":117,"@type":113},"The approach uses capacitive touch interfaces on tablet devices and runs app-based gamified tests. Different apps vary in difficulty and require candidates to perform finger, hand, and arm movements.",{"name":119,"@type":110,"acceptedAnswer":120},"What do the results show about the test scores?",{"text":121,"@type":113},"App-based test scores predict job/task performance across three occupational roles using correlation measures. The paper argues these predictions support using automated touch-screen tests for recruitment and feedback.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},297983,1790169516,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},2336478503145,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","An Automated Test of Motor Skills for Job Selection and  \nFeedback  \nBhanu Pratap Singh  \nAspiring Minds  \n[bhanu.pratap@aspiringminds.com](bhanu.pratap@aspiringminds.com)  \nVarun Aggarwal  \nAspiring Minds  \n[varun@aspiringminds.com](varun@aspiringminds.com)  \nABSTRACT  \nMotor skills are required in a large number of blue collar jobs today. However, no automated means exist to test and provide feedback on these skills. In this paper, we explore the use of touch-screen surfaces and tablet-apps to measure these skills. We design novel app-based gami􀀌ed-tests to measure one's motor skills. We show this information to strongly predict the job performance of skilled workers in three di􀀋erent occupational roles. The results presented in this work make a strong case for using such automated, touch-screen based tests in job selection and to provide automatic feedback. To the best of the authors' knowledge, this is the 􀀌rst attempt at using touch-screen devices to scalably and reliably measure motor skills.  \nKeywords  \nMotor skills; Touch-screen devices; Tablets; Assessments; Blue collar jobs.  \n1. INTRODUCTION  \nThere are many standardized automated tests of language, knowledge, cognitive skills and personality [8, 1, 2] . These tests, often taken on a computer, are good predictors of academic achievement and job performance in the knowledge economy. They have also enabled automated feedback and credentials for learners.  \nWe are interested in automating assessments of motor skills required for vocational jobs such as tailoring, plumbing and carpentry. In the Occupational Information Network (O*NET) database of job descriptions [11], 350 out of 1,065 jobs need moderate to high motor skills. There has been tremendous interest worldwide among employers and professional organizations in training and e􀀎ciently identifying people that possess the skills for such hands-on occupations [3, 9] . There have been several validated, non-automated tests like the Purdue Pegboard test [13] and the O'Connor Tweezer Dexterity test [12] . However, no serious attempt has been made  \nto develop and validate automated tests for this purpose. Automated assessments so far have exploited the power of PCs and laptops. We wish to make use of a touch interface, in the form of tablet devices, to test motor skills.  \nThe ability to test motor skills automatically using touch interfaces would allow it to scale extremely well, given the high market penetration of inexpensive tablet devices in the last 􀀌ve years. This would enable people to measure their motor skills right from their homes and receive feedback toward self-improvement. There is substantial evidence that motor skills among adults can be improved [14] and that explicit motor skills feedback and instructions help do so [7, 5, 10] . Also, test takers can learn how suitable they are for a given job, get credentials for the skills they have acquired and apply for jobs that are the best match for their particular skill sets. Companies, for their part, can remotely administer these tests and can use the scores registered and the certi􀀌cates o􀀋ered to 􀀌nd a quality workforce, making the identi􀀌cation of suitable candidates easy, cheap, and scalable. This has the potential to make the blue-collar labor market considerably more e􀀎cient, similar to the e􀀋ect automated testing has had on the white-collar labor market.  \nWe apply the classical procedure used in developing skill assessments to develop tests which measure motor skills. We 􀀌rst identify the skills that are most useful to test. We then develop app-based tests that run on tablets and have the potential to measure these skills.1 We use capacitive touch interfaces in this work, which are very popular these days. The app-based tests are designed in such a way that they exercise the motor skills of a person and are of varying degrees of di􀀎culty. Candidates undergo testing through various movements of their 􀀌ngers, hands and arms. We develop scores for ea","cbCaieJfkiAnLXdx","https://ap.wps.com/l/cbCaieJfkiAnLXdx","pdf",2102415,"English","# Introduction\n# Motor Skills to Measure","[{\"question\":\"Why are automated motor-skill assessments needed for job selection?\",\"answer\":\"Many blue-collar jobs require moderate to high motor skills, but there are no automated ways to test these skills and provide feedback. The paper motivates scalable assessment for hiring and self-improvement.\"},{\"question\":\"How does the proposed system measure motor skills?\",\"answer\":\"The approach uses capacitive touch interfaces on tablet devices and runs app-based gamified tests. Different apps vary in difficulty and require candidates to perform finger, hand, and arm movements.\"},{\"question\":\"What do the results show about the test scores?\",\"answer\":\"App-based test scores predict job/task performance across three occupational roles using correlation measures. The paper argues these predictions support using automated touch-screen tests for recruitment and feedback.\"}]","An Automated Test of Motor Skills for Job Selection and Feedback | PDF",1789749509,15]