Thesis Details
Hodnocení uchazečů o zaměstnání použitím neurověd
This thesis deals with the possibility to evaluate cognitive and emotional traits and their relations to job positions and functions. The basis is to create a set of tests which could be used during a hiring procedure while deciding among candidates. It also suggests how to classify users based on a set of tests and thereby provide support in choosing the right job. The thesis gives a brief outlook of individually tested traits, describes a proposal of a web application and its implementation, describes implementation of neural network classifier and presents obtained results.
neroscience, web, web aplication, candidate screening, cognitive traits, personality traits, change detection, stop signal, simple reaction time, flanker, tower of london, balloon analogue risk, geometric analogy, cognitve effort discounting, classification, neural networks, websocket
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Holub Jan, prof. Ing., Ph.D. (FIT CTU), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
@mastersthesis{FITMT19493, author = "Tom\'{a}\v{s} Bank", type = "Master's thesis", title = "Hodnocen\'{i} uchaze\v{c}\r{u} o zam\v{e}stn\'{a}n\'{i} pou\v{z}it\'{i}m neurov\v{e}d", school = "Brno University of Technology, Faculty of Information Technology", year = 2017, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/19493/" }