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Towards semi-automatic human performance evaluation: The case study of a contact center

BRUNELLO, ANDREA
•
Fernando Jiménez
•
Enrico Marzano
altro
Guido Sciavicco
2018
  • journal article

Periodico
INTELLIGENT DATA ANALYSIS
Abstract
Evaluating in a correct, fair, systematic and reliable way the quality of the work is a central problem in modern business. Both from the psychological and the social point of view, this problem is very far away from being solved, let alone from being managed by a (semi-) automatic decision support system. In this paper we consider the case study of evaluating the operators’ work quality in a medium-sized contact center, and, in particular, the problem of selecting the correct variables to be used in such an evaluation. Starting from a data set representative of the company’s range and size of activities, that allowed no usable predictive model for evaluating the skills of the agents, we were able to devise a reproducible methodology, along with an a posteriori optimization process, to select the essential variables that should be used to objectively evaluate the quality of the agents’ work. These results may be used in a support system helping the supervisors in evaluating the agents’ performances. Moreover, we believe that our methodology may be extrapolated and reused in other comparable contexts characterized by the measurability of the human operators’ performance.
DOI
10.3233/IDA-173586
WOS
WOS:000437253200011
Archivio
http://hdl.handle.net/11390/1135363
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85049651140
https://content.iospress.com/articles/intelligent-data-analysis/ida173586
Diritti
closed access
Soggetti
  • Feature selection, qu...

Web of Science© citazioni
2
Data di acquisizione
Mar 28, 2024
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