The Enneagram: A Primer for Psychiatry Residents

Alexander, Morgan T.; Schnipke, Brent

doi:10.1176/appi.ajp-rj.2020.150301

Cited by 11 publications

(7 citation statements)

References 4 publications

(5 reference statements)

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“…This result is important for organizing prevention and health isolation procedures according to personality patterns. This result was in agreement with some studies that concentrated on optimism and pessimism, such as (Alexander, 2020)…”

Section: 3supporting

confidence: 93%

Fear of (COVID-19) and its relationship to Enneagram patterns among a sample of Yemeni community members

Al-Obaidi

2021

Preprint

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The study aimed to determine the COVID-19 fear pattern, the common Enneagram pattern in Yemeni society, and the relationship between COVID-19 fear and Enneagram patterns. The study sample consisted of (360) individuals (youth - adults) who were randomly selected. The researcher used the Ingram scale according to (RISO) theory. The results showed that there is no fear of COVID-19 as a dominant pattern. The peacemaker type is the dominant personality type in Yemeni society, followed by the achieved type. Furthermore, there was a negative correlation between peacemaker and courage from COVID-19. The study concluded that The attitude of no (COVID-19) fear was the prevailing personality pattern among members of Yemeni society. The Enneagram pattern (the peacemaker) was the dominant pattern in the personality of Yemeni society members, followed by the achieved pattern. There was a negative, strong and relationship between fear of (COVID-19) and between the two patterns of Enneagram (unique) and (peacemaker) in the personality of the Yemeni community members. The attitude of no (COVID-19) fear was related negatively with the unhealthy aspect of the (singular) and (peacemaker) patterns of Enneagram (singular) and (peacemaker) in the personality of Yemeni community members.

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Section: 3supporting

confidence: 93%

Fear of (COVID-19) and its relationship to Enneagram patterns among a sample of Yemeni community members

Al-Obaidi

2021

Preprint

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“…It is a great tool which psychiatrists and psychologists gain advantage. Psychiatrists have employed the Enneagram from 1970 till now [8]. Knowing the patient's personality assists them to give appropriate psychological aid.…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based Enneagram Personality Prediction System

Abdelhamid,

Ismail,

Aref

2024

Hum-Cent Intell Syst

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Researchers are keen on finding out about people’s emotions and interests. Personality prediction helps in this issue. Recognizing consumers’ sentiments and desires assists in the development of better recommendation systems and dating applications. Previous personality prediction systems studies had shown personality theories such as Big Five Traits, Three Factor Model, etc. More informative personality model is required because it offers a greater understanding. The target is enabling machines to understand the person more deeply than the previously used models. Enneagram is a distinct personality theory which demonstrates personalities’ motivations, desires and fears. The questionnaire-based exam is the way to inform a person’s Enneagram personality. People are not motivated to complete the exam because it takes time. Enneagram personality prediction system is presented utilizing Enneagram personality model and Twitter text. This does not require any time or effort to predict the personality of the Enneagram. Personality prediction of the Enneagram applies ontology, lexicon and a statistical method. The system’s performance is evaluated using precision, recall, f1-score, and accuracy. The highest personality type recall output is the Enthusiast which is 95%. This is the first technique to predict Enneagram personality from text. The result indicates a good start to predict Enneagram personality.

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“…Recognizing the patient's personality gives physicians insight to provide the patient with psychological support. Psychiatrists have used the Enneagram since 1970 [14].…”

Section: Introductionmentioning

confidence: 99%

Architecture for Personality Detection Using Enneagram Knowledge: Case Study

Abdelhamid

Ismail²,

Aref³

2023

IJICIS

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Researchers are concerned with automated personality detection from social media. Automated Personality detection from text benefits in social media like: attracting more users, career advising and getting more advertisements. Traditional personality detection is done by using an assessment test. Performing a test is time-consuming so users aren't interested in taking a test. This paper presents case study and architecture on automated personality from text using twitter text. The case study uses public text to identify the personality of the profile. The applied personality Model is the Enneagram model. Proposed architecture contains four phases: text preprocessing, feature extraction, feature selection and personality detection. Feature selection is done by using Enneagram ontology and lexicon. Personality detection is utilized by using statistical approaches. The Enneagram knowledge is modeled using ontology. The lexicon is a source to enrich the ontology seed. Statistical Approach is utilized to identify the personality. The case study identifies the personality. The highest outcome percentage is "investigator" personality, which is 24 %. This indicates that the personality is an investigator. This result is similar to official Enneagram experts' analysis. This model is the first one which uses the Enneagram model as automatic detection. Enneagram is a powerful personality model that aids psychiatrists and physicians to understand the patient's personality intensely. This knowledge gives them the tools to support and aid the patient to heal faster. The promising outcomes open the door to further research in this area.

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The Enneagram: A Primer for Psychiatry Residents

Cited by 11 publications

References 4 publications

Fear of (COVID-19) and its relationship to Enneagram patterns among a sample of Yemeni community members

Fear of (COVID-19) and its relationship to Enneagram patterns among a sample of Yemeni community members

Ontology-Based Enneagram Personality Prediction System

Architecture for Personality Detection Using Enneagram Knowledge: Case Study

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