title: EmoBurnout: An Approach for Supporting Burnout Syndrome Diagnosis.
abstract: Burnout is scientifically a work related syndrome which consists of three dimensions: emotional exhaustion, depersonalization and reduced professional efficacy. Different instruments for the diagnosis of burnout exist, accompanied by many associated problems, however. This paper describes a proposal aiming at supporting the diagnosis of burnout using measures complementary to the Maslach Burnout Inventory (MBI). It specifically focuses on emotions detection to provide useful information that contributes to the decision making process about the syndrome.
authors.affiliation: Computational Intelligence Research Group, University of Cauca, Colombia.
authors.forename: Esteban
authors.initials: E
authors.lastname: Martinez
authors.affiliation: Computational Intelligence Research Group, University of Cauca, Colombia.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Mera
authors.affiliation: Computational Intelligence Research Group, University of Cauca, Colombia.
authors.forename: Carolina
authors.initials: C
authors.lastname: González
authors.affiliation: Telematics Engineering Research Group, University of Cauca, Colombia.
authors.forename: Diego M
authors.initials: DM
authors.lastname: López
authors.affiliation: Telematics Engineering Research Group, University of Cauca, Colombia.
authors.forename: Bernd
authors.initials: B
authors.lastname: Blobel
mesh_terms: D001185:Artificial Intelligence; D002055:Burnout, Professional / Q000175:diagnosis*; D004569:Electroencephalography / Q000379:methods*; D004644:Emotions / Q000502:physiology*; D006801:Humans; D011581:Psychological Tests; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis