Abel Robles Montoya, M. L. B. Estrada, Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Arcelia Judith Bustillos Martínez
{"title":"Creation of a Dataset for personality and professional interest recognition","authors":"Abel Robles Montoya, M. L. B. Estrada, Ramón Zatarain Cabada, Héctor Manuel Cárdenas López, Arcelia Judith Bustillos Martínez","doi":"10.1109/ENC56672.2022.9882942","DOIUrl":null,"url":null,"abstract":"This paper presents the methodology and tools developed for the collection of data on personality and vocational interests; the models selected to measure personality and interests are HEXACO and RIASEC respectively. The objective of creating this dataset is use it in prediction models during the training phase. The models trained with this dataset are used in a system which includes all to predict a person's vocational interests from a short video. The results were a final dataset with 127 completed test records and 98 videos. As limitations these data are distributed in a way that the range of values of personality and interests are not complete, causing a significant imbalance for the recognizers.","PeriodicalId":145622,"journal":{"name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Mexican International Conference on Computer Science (ENC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENC56672.2022.9882942","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the methodology and tools developed for the collection of data on personality and vocational interests; the models selected to measure personality and interests are HEXACO and RIASEC respectively. The objective of creating this dataset is use it in prediction models during the training phase. The models trained with this dataset are used in a system which includes all to predict a person's vocational interests from a short video. The results were a final dataset with 127 completed test records and 98 videos. As limitations these data are distributed in a way that the range of values of personality and interests are not complete, causing a significant imbalance for the recognizers.
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