scholarly journals Personality Profiles that Put Users at Risk of Perceiving Technostress

2020 ◽  
Author(s):  
Katharina Pflügner ◽  
Christian Maier ◽  
Jens Mattke ◽  
Tim Weitzel
Keyword(s):  
At Risk ◽  
Personality Traits ◽  
Information And Communication Technologies ◽  
Qualitative Comparative Analysis ◽  
Big Five Personality ◽  
Personality Profile ◽  
Negative Consequences ◽  
Survey Analysis ◽  
Personality Profiles ◽  
Systems Research

AbstractSome information systems research has considered that individual personality traits influence whether users feel stressed by information and communication technologies. Personality research suggests, however, that personality traits do not act individually, but interact interdependently to constitute a personality profile that guides individual perceptions and behavior. The study relies on the differential exposure-reactivity model to investigate which personality profiles of the Big Five personality traits predispose users to perceive techno-stressors. Using a questionnaire, data was collected from 221 users working in different organizations. That data was analyzed using fuzzy set Qualitative Comparative Analysis. Based on the results, six different personality profiles that predispose to perceive high techno-stressors are identified. By investigating personality traits in terms of profiles, it is shown that a high and a low level of a personality trait can influence the perception of techno-stressors. The results will allow users and practitioners to identify individuals who are at risk of perceiving techno-stressors based on their personality profile. The post-survey analysis offers starting points for the prevention of perceived techno-stressors and the related negative consequences for specific personality profiles.

Recognition of Learner's Personality Traits through Digital Annotations in Distance Learning

2017 ◽  
Vol 15 (1) ◽  
pp. 28-51 ◽  
Author(s):  
Nizar Omheni ◽  
Anis Kalboussi ◽  
Omar Mazhoud ◽  
Ahmed Hadj Kacem
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Personality Traits ◽  
Experimental Results ◽  
Personality Profile ◽  
Personality Profiles ◽  
Reasonable Accuracy ◽  
Active Reading ◽  
Reading Materials ◽  
Asking Questions

Researchers in distance education are interested in observing and modelling of learner's personality profile, and adapting their learning experiences accordingly. When learners read and interact with their reading materials, they do unselfconscious activities like annotation which may be key feature of their personalities. Annotation activity requires the reader to be active, to think critically and to analyse what has been written, and to make specific annotations in the margins of the text. These traces are reflected through underlining, highlighting, scribbling comments, summarizing, asking questions, expressing confusion or ambiguity, and evaluating the content of reading. In this paper, the authors present a semi-automatic approach to build learners' personality profiles based on their annotation traces yielded during active reading sessions. The experimental results show the system's efficiency to measure, with reasonable accuracy, the scores of learner's personality traits.

scholarly journals Big Five Personality Model-based study of death coping self-efficacy in clinical nurses: A cross-sectional survey

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252430
Author(s):  
Xi Lin ◽  
Xiaoqing Li ◽  
Qing Liu ◽  
Shengwen Shao ◽  
Weilan Xiang
Keyword(s):  
Palliative Care ◽  
Personality Traits ◽  
Big Five ◽  
Self Efficacy ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Clinical Nurses

Background Specific personality traits may affect the ability of nurses to deal with patient death. The relationship between personality and death coping self-efficacy (DCS) has rarely been investigated in the palliative care setting. In this study, we explored the associations between different personality profiles and DCS in clinical nurses from general wards and ICU. Methods A cross-sectional survey of 572 Chinese nurses was conducted between August and September 2020, by way of a self-administered questionnaire. Results Among the Big Five Personality Traits, in nurses the score was highest for conscientiousness and lowest for neuroticism. With regard to DCS, nurses scored highly on the intention of hospice care. The Big Five Personality Traits were found to explain 20.2% of the overall variation in DCS. Openness, agreeableness and conscientiousness were significantly associated with DCS in nurses. Conclusions Nursing managers should pay attention to differences in personality characteristics and provide personalized and targeted nursing education. This should improve nurses’ DCS, enrich their professional development and promote high quality palliative care for patients and their families.

scholarly journals Profil Kepribadian Gamers Esports DotA 2 di Kota Bandung

2021 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Aryo Triutama ◽  
Milda Yanuvianti
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Sampling Technique ◽  
Online Games ◽  
Emotional Stability ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Personality Profile ◽  
Dominant Dimension ◽  
The City

Abstract. Currently online games have become one of the branches of sports known as Esports. In the competition of Esports, DotA 2 became game the most profitablein terms of prizes. 2018 became the best year in DotA 2 Esports Indonesia, but the development of Esports Dota 2 in Indonesia has decreased in 2019. Despite having problems, the DotA 2 game is still popular in several internet cafes in the city of Bandung. According to Collins, Freeman, & Chamarro-Premuzic (2012) personality traits related to the behavior of playing online games. As the development of knowledge, personality traits can be measured through the concept of Big Five Personality Traits, according to Strus, Cieciuch, & Rowiński (2014) In big five personality traits there are 5 dimensions, namely Emotional Stability vs. Neurotism, Extraversion, Agreeableness, Conscientiousness, and Openness / Intellect. In this study, the method used is descriptive with a purposive sampling technique of 34 Esports gamers in the city of Bandung. The purpose of this study was to determine the personality profile of Esports gamers in the city of Bandng. Researchers used the IPIP BFM-25 standard measuring instrument made by Akhtar & Azwar, (2018). The results of this study show the dimensions of Conscientiousness (82.4%), Agreeableness (88.2%), and Intellect (91.2%) became dominant in the score with a high category, and Emotional Stability (64.7%) become the dominant dimension in the low score category. Abstrak. Saat ini game online sudah menjadi salah satu cabang olahraga yang dikenal dengan Esports. Dalam kompetisi Esports, DotA 2 menjadi game yang paling profit dari segi hadiah. Tahun 2018 menjadi tahun terbaik di Esports DotA 2 Indonesia, namun perkembagan Esports Dota 2 di Indonesia mengalami penurunan pada tahun 2019. Meskipun memiliki permasalahan namun game DotA 2 masih menjadi populer di beberapa warnet di kota Bandung. Menurut Collins, Freeman, & Chamarro-Premuzic (2012) personality traits terkait dengan perilaku bermain game online. Seiring perkembangan ilmunya, personality traits dapat diukur melalui konsep Big Five Personality Traits, menurut Strus, Cieciuch, & Rowiński (2014) Dalam big five personality traits terdapat 5 dimensi, yaitu Emotional Stability vs Neurotism, Extraversion, Agreeableness, Conscientiousness, dan openness / Intellect. Dalam penelitian ini, metode yang dipakai adalah deskriptif dengan teknik sampling purposive terhadap 34 gamers Esports di kota Bandung. Tujuan dari penelitian ini untuk mengetahui profil kepribadian gamers Esports di kota Bandng. Peneliti menggunakan alat ukur baku IPIP BFM-25 yang dibuat oleh Akhtar & Azwar, (2018). Hasil dari penelitian ini menunjukan dimensi Conscientiousness (82,4%), Agreeableness (88,2%), dan Intellect (91,2%) menjadi dominan pada skor dengan kategori tinggi, dan Emotional Stability (64,7%) menjadi dimensi yang dominan pada kategori skor rendah.

Personality Traits among Frequent and Infrequent Facebook Users

2017 ◽  
Vol 8 (1) ◽  
pp. 40
Author(s):  
Sudeshna Chakrabarti ◽  
Aparajita Singha
Keyword(s):  
Personality Traits ◽  
Leisure Time ◽  
General Information ◽  
Personality Profile ◽  
Personality Profiles ◽  
Time Activity ◽  
Significant Difference ◽  
Facebook Use ◽  
Present World ◽  
Larger Sample

Background: Use of Facebook is a most common phenomenon in the present world. But it has been seen that gradually excessive use of Facebook often creates some psychological problems. Literature shows that there are some specific personality profiles which are responsible for excessive Facebook use. So the main objective of the study is to reveal the specific personality profile of frequent and infrequent Facebook users. Methodology: A group of 30 frequent Facebook users of Agartala were compared with a group of 30 infrequent Facebook users aged between 18-24 years in respect to their personality traits and leisure time activity preferences with the help of Cattell’s 16 Personality Questionnaire and a general information schedule. Results: The result reveals that the frequent Facebook users are enthusiastic, cheerful, talkative, frank, expressive, quick, alert, and imperturbable, they put more emphasis in concrete thinking, they are also undependable, unsteady, quitting. And the infrequent Facebook users are self sufficient, independent, resolute, and accustomed to going their own way, making decisions and taking actions by their own and they also put more emphasis in concrete thinking. Conclusion: It may be concluded from the study that there is a significant difference between personality traits of frequent and infrequent Facebook users. However, a study with a larger sample may reveal more information regarding this issue. Keywords: Personality traits, facebook users,

Personality Profiles for Administrators and Staff in a Private Correctional Facility

1992 ◽  
Vol 70 (1) ◽  
pp. 195-198 ◽  
Author(s):  
Rita Myers ◽  
Shelly Boughner ◽  
Fred Wallbrown
Keyword(s):  
Personality Traits ◽  
Correctional Facility ◽  
Clinical Analysis ◽  
Professional Staff ◽  
Personality Profile ◽  
Personality Profiles

This study provides a description of the personality profile for administrators and professional staff in a private correctional facility ( n = 30). The 1980 Clinical Analysis Questionnaire of Krug and Cattell was selected for use in the study since it provides a well-validated measure of both normal and abnormal personality traits which have been identified in the course of forty years of carefully controlled research. Present findings showed healthy adjustment for the professionals employed within this agency.

A Cultural Comparison of Personality Profiles of U.S. and Japanese Centenarians

2020 ◽  
pp. 009141502092000
Author(s):  
Grace D. da Rosa ◽  
Peter Martin ◽  
Joseph Kim ◽  
Daniel Russell ◽  
W. Todd Abraham ◽  
...  
Keyword(s):  
United States ◽  
Personality Traits ◽  
The United States ◽  
Cross Cultural ◽  
Cultural Comparison ◽  
Personality Profile ◽  
Personality Profiles ◽  
Latent Profile Analyses ◽  
Proxy Reports ◽  
Person Centered Approach

The purpose of this study was a cross-cultural examination of centenarians’ personality through a person-centered approach to examine if there is a “resilient” personality profile consistent across cultures. Proxy reports information was obtained from family and close friends of 239 U.S. centenarians from the Georgia Centenarians Study and 272 Japanese centenarians from the Tokyo Centenarian Study. Latent profile analyses were conducted to identify personality profiles in centenarians from the United States and Japan. Two personality profiles were identified in both samples: a “resilient” personality profile and “nonresilient” personality profile. The “resilient” group had higher levels of positive personality traits with higher scores on agreeableness and extraversion and lower scores on neuroticism, conscientiousness, and openness. The “nonresilient” group had higher scores on neuroticism and lower scores on extraversion, openness, agreeableness, and conscientiousness. Fifty percent of U.S. centenarians and 65% of Japanese centenarians were in the “resilient” group.

scholarly journals Assessing the Big Five personality traits using real-life static facial images

2020 ◽  
Author(s):  
Alexander Kachur ◽  
Evgeny Osin ◽  
Denis Davydov ◽  
Konstantin Shutilov ◽  
Alexey Novokshonov
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Real Life ◽  
Big Five Personality Traits ◽  
Self Report ◽  
Big Five Personality ◽  
Personality Profiles ◽  
Ample Evidence ◽  
New Findings ◽  
Facial Images

There is ample evidence that a human face provides signals of human personality and behaviour. Previous studies have found associations between the features of artificial composite facial images and attributions of personality traits by human experts. We present new findings demonstrating the statistically significant prediction of a wider set of personality features (all the Big Five personality traits) for both men and women using real-life static facial images. Volunteer participants (N = 12,447) provided their face photographs (31,367 images) and completed a self-report measure of the Big Five traits. We trained a cascade of artificial neural networks (ANNs) on a large labelled dataset to predict self-reported Big Five scores. The highest correlations were found for conscientiousness (.360 for men and .335 for women), exceeding the results obtained in prior studies. The findings provide strong support for the hypothesis that it is possible to predict multidimensional personality profiles from static facial images using ANNs trained on large labelled datasets.

scholarly journals Personality Determinants of Success in Men’s Sports in the Light of the Big Five

2021 ◽  
Vol 18 (12) ◽  
pp. 6297
Author(s):  
Paweł Piepiora ◽  
Zbigniew Piepiora
Keyword(s):  
Big Five ◽  
Logistic Regression Model ◽  
Descriptive Statistics ◽  
Big Five Personality ◽  
Polish Population ◽  
Personality Profile ◽  
Personality Profiles ◽  
Personality Differences ◽  
Student’S T ◽  
Bootstrapping Method

The aim of the study is to describe personality profiles and determinants of success in sports in relation to the Big Five Personality Model. In order to achieve this aim, personality profiles of players from various sports disciplines was set against the personality profile of champions—players who are considerably successful in sports competitions. Subsequently, an attempt was made to determine which personality traits significantly determine belonging to the group of champions—and therefore determine success in sport. The participants were men aged between 20 and 29 from the Polish population of sportsmen. A total of 1260 athletes were tested, out of whom 118 were qualified to the champions sample—those athletes had significant sports achievements. The research used the NEO-FFI Personality Questionnaire. Basic descriptive statistics, a series of Student’s t-tests for independent samples using the bootstrapping method, as well as a logistic regression model were performed. In relation to other athletes, champions were characterized by a lower level of neuroticism and a higher level of extraversion, openness to experience, agreeableness, and conscientiousness. An important personality determinant was neuroticism: the lower the level of neuroticism, the greater the probability of an athlete being classified as a champion. There are differences between champions and other athletes in all personality dimensions in terms of the Big Five. Based on the result of the research, it can be stated that personality differences should be seen as a consequence of athletes’ success, rather than as a reason for athletes’ success, based on their age between 20 and 29.

scholarly journals Addressing the Question of Disorder-Specific Risk Factors of Internet Addiction: A Comparison of Personality Traits in Patients with Addictive Behaviors and Comorbid Internet Addiction

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
K. W. Müller ◽  
A. Koch ◽  
U. Dickenhorst ◽  
M. E. Beutel ◽  
E. Duven ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Alcohol Dependence ◽  
Personality Traits ◽  
Internet Addiction ◽  
Health Concern ◽  
Big Five Personality ◽  
Addictive Behaviors ◽  
Personality Profiles ◽  
Specific Risk

Uncontrolled use of the internet has been reported to affect the lives of some users in a negative way. According to epidemiological studies, about 1% of the general population is showing signs of internet addiction. Since internet addiction is becoming a growing health concern, research on potential risk factors is becoming more important in order to develop strategies for prevention and to adopt therapeutic treatment. Although there are some studies investigating personality traits in internet addiction, most of these studies are based on samples of healthy subjects. In this research project, we compared personality profiles of a sample of patients in different rehabilitation centers. 70 patients with an addiction disorder that additionally met the criteria for internet addiction were compared to 48 patients suffering from alcohol dependence. Besides Big Five personality traits, we also assessed depressive symptoms. It was shown that patients with comorbid internet addiction can be discriminated from other patients by higher neuroticism and lower extraversion as well as lower conscientiousness. After controlling for depressive symptoms, lower conscientiousness especially turned out to be a disorder-specific risk factor. As internet addiction is related to unique patterns of personality traits and can be discriminated from alcohol dependence, treatment approaches are needed that meet the specific requirements of patients with internet addiction.

COMPUTER ASSESSMENT OF PERSONALITY: A DEMONSTRATION OF GULLIBILITY

1986 ◽  
Vol 14 (2) ◽  
pp. 197-202 ◽  
Author(s):  
Lionel Standing ◽  
Gregory Keays
Keyword(s):  
Personality Traits ◽  
Psychological Tests ◽  
Personality Profile ◽  
Personality Profiles ◽  
Computer Assessment

Subjects (N= 64) were shown a list of 66 personality traits, and indicated whether or not they possessed each one. Three weeks later, they were shown their trait list, another subject's trait list, a computerized personality profile derived from their traits, or a profile derived from another subject's traits. In each case they rated how well their personality was described by the trait list or profile, on three seven point scales. It was found that the spurious personality descriptions (both traits and profiles) were rated as highly for accuracy as were the genuine descriptions. Interpretive personality profiles were rated no higher than simple lists of trait names. It is argued that these results should be attributed to general gullibility rather than, e.g., the impressiveness of psychological tests.

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