An Automated Test of Motor Skills for Job Prediction and Feedback

We’re pleased to announce that our recent work on designing automated assessments to test motor skills (skills like finger dexterity and wrist dexterity) has been accepted for publication at the 9th International Conference on Educational Data Mining (EDM 2016).
Here are some highlights of our work –

  • The need: Motor 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. We explore the use of touch-screen surfaces and tablet-apps to measure these skills.
  • Gamified apps: We design novel app-based gamified tests to measure one’s motor skills. We’ve designed apps to specifically check finger dexterity, manual dexterity and multilimb co-ordination.









  • Validation on three jobs: We validated the scores from the apps on three different job roles – tailoring, plumbing and carpentry. The results we present make a strong case for using such automated, touch-screen based tests in job selection and to provide automatic feedback for test-takers to improve their skills!

If you’re interested in the work and would like to learn more, please feel free to write to

Posted in Analytics, Assessment, assessment research, Big Data, Computer Program Assessments, Data science, decision trees, Hiring, hiring assessment, hiring test, India, Machine Learning, motor skill test, online hiring assessment, online hiring test, Uncategorized and tagged , , , , , , , , , , , , , , , .

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