{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T05:28:54Z","timestamp":1774330134768,"version":"3.50.1"},"reference-count":19,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Russian State Research","award":["FFZF-2022-0005"],"award-info":[{"award-number":["FFZF-2022-0005"]}]},{"name":"Russian State Research","award":["19-29-06099"],"award-info":[{"award-number":["19-29-06099"]}]},{"name":"Russian Foundation for Basic Research project","award":["FFZF-2022-0005"],"award-info":[{"award-number":["FFZF-2022-0005"]}]},{"name":"Russian Foundation for Basic Research project","award":["19-29-06099"],"award-info":[{"award-number":["19-29-06099"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In this paper, we propose a dataset for personality traits detection based on human face videos. Ground truth data have been annotated using the IPIP-50 personality test that every participant is implementing. To collect the dataset, we developed a web-based platform that allows us to acquire spontaneous answers for predefined questions from the respondents. The website allows the participants to record an interactive interview in order to imitate the real-life interview. The dataset includes 38 videos (2 min on average) for people of different races, genders, and ages. In the paper, we propose the top five personality traits calculated based on the test, as well as the top five personality traits calculated by our own developed model that determines this information based on video analysis. We introduced a statistical analysis for the collected dataset, and we also applied a K-means clustering algorithm to cluster the data and present the clustering results.<\/jats:p>","DOI":"10.3390\/data8070113","type":"journal-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T01:54:56Z","timestamp":1687485296000},"page":"113","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["VPTD: Human Face Video Dataset for Personality Traits Detection"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-9466-1597","authenticated-orcid":false,"given":"Kenan","family":"Kassab","sequence":"first","affiliation":[{"name":"St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6503-1447","authenticated-orcid":false,"given":"Alexey","family":"Kashevnik","sequence":"additional","affiliation":[{"name":"St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), 199178 St. Petersburg, Russia"},{"name":"Institute of Mathematics and Information Technologies, Perozavodsk State University (PetrSU), 185035 Petrozavodsk, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4351-820X","authenticated-orcid":false,"given":"Alexander","family":"Mayatin","sequence":"additional","affiliation":[{"name":"Information Technology and Programming Faculty, ITMO University, 197101 St. Petersburg, Russia"}]},{"given":"Dmitry","family":"Zubok","sequence":"additional","affiliation":[{"name":"Information Technology and Programming Faculty, ITMO University, 197101 St. Petersburg, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1111\/j.1467-6494.1992.tb00970.x","article-title":"An Introduction to the Five-Factor Model and Its Applications","volume":"60","author":"McCrae","year":"1992","journal-title":"J. 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J.","DOI":"10.2139\/ssrn.4182213"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"239","DOI":"10.3233\/WOR-131615","article-title":"Key personality traits of sales managers","volume":"48","author":"Lounsbury","year":"2013","journal-title":"Work"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.ifacol.2021.04.217","article-title":"Predicting Personality based on Self-Introduction Video","volume":"53","author":"Yeye","year":"2020","journal-title":"IFAC-PapersOnLine"},{"key":"ref_7","unstructured":"Aslan, S., and G\u00fcd\u00fckbay, U. (2019). Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks. arXiv."},{"key":"ref_8","first-page":"4","article-title":"Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results","volume":"Volume 173","author":"Palmero","year":"2022","journal-title":"Understanding Social Behavior in Dyadic and Small Group Interactions"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Palmero, C., Selva, J., Smeureanu, S., Junior, J., Clap\u00e9s, A., Mosegu\u00ed Saladi\u00e9, A., Zhang, Z., Gallardo-Pujol, D., Guilera, G., and Leiva, D. (2021, January 5\u20139). Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset. Proceedings of the 2021 IEEE Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikola, HI, USA.","DOI":"10.1109\/WACVW52041.2021.00005"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1109\/TAFFC.2020.2973984","article-title":"Modeling, Recognizing, and Explaining Apparent Personality from Videos","volume":"13","author":"Escalante","year":"2022","journal-title":"IEEE Trans. Affect. Comput."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Moreno-Sotelo, M.A., Moreno-Armendariz, M.A., Duchanoy, C., and Calvo, H. (2020). Data for Prediction of Apparent Personality Traits from Selfies Using the Five-Factor Model, IEEE.","DOI":"10.1109\/ACCESS.2020.3034639"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"61018","DOI":"10.1109\/ACCESS.2019.2902863","article-title":"TensorFlow-Based Automatic Personality Recognition Used in Asynchronous Video Interviews","volume":"7","author":"Suen","year":"2019","journal-title":"IEEE Access"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.jrp.2014.05.003","article-title":"Measuring Thirty Facets of the Five Factor Model with a 120-Item Public Domain Inventory: Development of the IPIP-NEO-120","volume":"51","author":"Johnson","year":"2014","journal-title":"J. Res. Personal."},{"key":"ref_14","unstructured":"(2023, February 07). Record. Available online: https:\/\/cais.iias.spb.su\/scripts\/record-stream\/."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1037\/1040-3590.4.1.26","article-title":"The development of markers for the big-five factor structure","volume":"4","author":"Goldberg","year":"1992","journal-title":"Psychol. Assess."},{"key":"ref_16","unstructured":"(2023, February 07). Sales Person Demographics and Statistics [2022]: Number of Sales Persons in the US. Available online: https:\/\/www.zippia.com\/sales-person-jobs\/demographics\/."},{"key":"ref_17","unstructured":"MacQueen, J. (1967). Some Methods for Classification and Analysis of Multivariate Observations, Project Euclid."},{"key":"ref_18","unstructured":"Jolliffe, I. (2011). International Encyclopedia of Statistical Science, Springer."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kassab, K., Kashevnik, A., Glekler, E., and Maiatin, A. (2023, January 24\u201326). Human Sales Ability Estimation Based on Interview Video Analysis. Proceedings of the 2023 33rd Conference of Open Innovations Association (FRUCT), Zilina, Slovakia.","DOI":"10.23919\/FRUCT58615.2023.10143053"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/7\/113\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:58:50Z","timestamp":1760126330000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/8\/7\/113"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"references-count":19,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,7]]}},"alternative-id":["data8070113"],"URL":"https:\/\/doi.org\/10.3390\/data8070113","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]}}}