Extracting Psychological Features out of Drawings of HTP test

Basit Öğe Kaydı
dc.authorscopusid58644833100
dc.authorscopusid55929397700
dc.authorscopusid36782998200
dc.contributor.authorAbdullah, L.
dc.contributor.authorHalfon, S.
dc.contributor.authorSönmez, E.B.
dc.date.accessioned2024-07-18T20:17:05Z
dc.date.available2024-07-18T20:17:05Z
dc.date.issued2023
dc.descriptionAksaray University;IEEE Seccion Espana;University de La Lagunaen_US
dc.description2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 -- 19 July 2023 through 21 July 2023 -- -- 192890en_US
dc.description.abstractThe House-Tree-Person (HTP) test is extensively used in different contexts to assess personality related issues. At test time, the respondent is requested to draw a house, a tree and a person. The drawings are later interpreted by therapists to assess emotional indicators. Due to its simplicity, this test is used with individuals aged over 3 years. This paper presents the first results of a bigger project, which aims to use artificial intelligence and image processing techniques to classify House-Tree-Person pictures, to extract psychological features out of those drawings and to find the optimal combination of those signs that may be indicative of psychological maladjustment. Having done the initial HTP classification task, this research focuses on the pictures of houses, searching for the presence/absence of the roof. This work used sketches provided by the department of Psychology of Istanbul Bilgi University and other drawings retrieved from multiple resources and from the internet. In the HTP classification task, the reached performance is 96.81% and 98.84% in the validation and test sets, respectively. In the roof detection task, the achieved accuracy is 70.73%, over a test set of 41 "house"images from which 29 were correctly classified. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ICECCME57830.2023.10253058
dc.identifier.isbn9798350322972
dc.identifier.scopus2-s2.0-85174050969en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ICECCME57830.2023.10253058
dc.identifier.urihttps://hdl.handle.net/11411/6405
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofInternational Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArt Therapyen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDeep Learningen_US
dc.subjectHouse-Tree-Person Testen_US
dc.subjectImage Processingen_US
dc.subjectProjective Drawing Testen_US
dc.subjectClassification (Of İnformation)en_US
dc.subjectDeep Learningen_US
dc.subjectImage Processingen_US
dc.subjectRoofsen_US
dc.subjectArt Therapyen_US
dc.subjectClassification Tasksen_US
dc.subjectDeep Learningen_US
dc.subjectHouse-Tree-Person Testen_US
dc.subjectImages Processingen_US
dc.subjectIntelligence Processingen_US
dc.subjectProjective Drawing Testen_US
dc.subjectPsychological Featuresen_US
dc.subjectTest Setsen_US
dc.subjectTest Timeen_US
dc.subjectHousesen_US
dc.titleExtracting Psychological Features out of Drawings of HTP testen_US
dc.typeConference Objecten_US

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