Showing papers by "Jüri Allik published in 2018"

Dominant and Complementary Emotion Recognition From Still Images of Faces

Abstract: Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing. A compound facial emotion includes dominant and complementary emotions (e.g., happily-disgusted and sadly-fearful), which is more detailed than the seven classical facial emotions (e.g., happy, disgust, and so on). Current studies on compound emotions are limited to use data sets with limited number of categories and unbalanced data distributions, with labels obtained automatically by machine learning-based algorithms which could lead to inaccuracies. To address these problems, we released the iCV-MEFED data set, which includes 50 classes of compound emotions and labels assessed by psychologists. The task is challenging due to high similarities of compound facial emotions from different categories. In addition, we have organized a challenge based on the proposed iCV-MEFED data set, held at FG workshop 2017. In this paper, we analyze the top three winner methods and perform further detailed experiments on the proposed data set. Experiments indicate that pairs of compound emotion (e.g., surprisingly-happy vs happily-surprised) are more difficult to be recognized if compared with the seven basic emotions. However, we hope the proposed data set can help to pave the way for further research on compound facial emotion recognition.

The Role of Co-occurring Emotions and Personality Traits in Anger Expression.

Abstract: The main aim of the current study was to examine the role of co-occurring emotions and their interactive effects with the Big Five personality traits in anger expression. Everyday anger expression ("anger-in" and "anger-out" behavior) was studied with the experience-sampling method in a group of 110 participants for 14 consecutive days on 7 random occasions per day. Our results showed that the simultaneously co-occurring emotions that buffer against anger expression are sadness, surprise, disgust, disappointment, and irritation for anger-in behavior, and fear, sadness and disappointment for anger-out reactions. While previous studies have shown that differentiating one's current affect into discrete emotion categories buffers against anger expression (Pond et al., 2012), our study further demonstrated the existence of specific interactive effects between the experience of momentary emotions and personality traits that lead to higher levels of either suppression or expression of anger behavior (or both). For example, the interaction between the trait Openness and co-occurring surprise, in predicting anger-in behavior, indicates that less open people hold their anger back more, and more open people use less anger-in behavior. Co-occurring disgust increases anger-out reactions in people low in Conscientiousness, but decreases anger-out reactions in people high in Conscientiousness. People high in Neuroticism are less likely to engage in anger-in behavior when experiencing disgust, surprise, or irritation alongside anger, but show more anger out in the case of co-occurring contempt. The results of the current study help to further clarify the interactions between the basic personality traits and the experience of momentary co-occurring emotions in determining anger behavior.

A Puzzle of Estonian Science: How to Explain Unexpected Rise of the Scientific Impact

Abstract: Only sufficient economic wealth can produce science with the highest quality. However, there is room for many intervening factors, which can moderate the process of how money invested into research transforms into a bibliometrically measurable outcome. In this paper, based on the latest update of the Essential Science Indicators (ESI), covering the period 2007–2017, we analyze the progress of Estonian science against the background less successful neighbors, Latvia and Lithuania, in the pursuit of scientific excellence. Estonia improved the impact of scientific papers by eleven positions occupying the 17th position in the world-ranking list of countries/territories, sandwiched between France and Israel who both have approximately two times larger DGP per capita to say nothing about 68 and 12 Nobel Prize winners respectively. By the percentage of papers reaching the topcited category, Estonia occupies the 7th position of the most successful nations. The fact that Estonian papers are cited 30% more frequently than papers recorded by ESI in general is a puzzle because Estonia is spending only about 0.8% of its GDP on the R&D with a dropping tendency during the last three years. Factors that could moderate transformation of the input money into scientific output are discussed.

Unusual Configurations of Personality Traits Indicate Multiple Patterns of Their Coalescence

Abstract: It is widely accepted that the Five Factor Model (FFM) is a satisfactory description of the pattern of covariations among personality traits, which supposedly fits, more or less adequately, every individual. As an amendment to the FFM, we propose that the customary five-factor structure is only a near-universal, because it does not fit all individuals but only a large majority of them. Evidences reveal a small minority of participants who have an unusual configuration of personality traits, which is clearly recognizable, both in self- and observer-ratings. We identified three types of atypical configurations of personality traits, characterized mainly by a scatter of subscale scores within each of the FFM factors. How different configurations of personality traits are formed, persist, and function needs further investigation.

Role of personality traits in reporting the development of adverse drug reactions: a prospective cohort study of the Estonian general population

Abstract: Objective To examine the role of the Five Factor Model (FFM) personality traits in reporting the development of adverse drug reactions (ADRs) when controlling for sociodemographic variables and health status. Design Prospective cohort study. Setting The Estonian Biobank of the Estonian Genome Centre, University of Tartu. Participants 814 women and 543 men (mean age=47.9 years; SD=15.2) who after the initial enrolment in the Estonian Biobank were re-contacted for follow-up purposes about 5.3 years after the enrolment and for whom both self- and informant-reported personality data were available. Main outcome measure Participants who did not report having any ADRs at baseline but who reported ADRs at the follow-up about 5.3 years later versus participants who did not report any ADRs at either time point. The reports of developing ADRs were predicted from the FFM personality traits after statistically controlling for sociodemographic variables (age, gender and education), baseline indicators of health status (number of diagnoses and medicines taken, body mass index and blood pressure), and the change in health status between the two measurements. Results The results of a hierarchical binary logistic regression analysis showed that participants who reported the development of ADRs between the two measurements had higher levels of conscientiousness, were more likely to be women, were taking more medicines at baseline and had a higher increase in the number of medicines taken during the study period than participants who did not report any ADRs at either time point (all p values Conclusions This study shows for the first time that higher levels of conscientiousness and neuroticism are associated with reporting the development of ADRs.

What makes young Russians happy and satisfied with their lives

Abstract: Participants (N = 10,672 with the mean age of 20.7 years) of the Russian Character and Personality Survey (RCPS), involving 40 universities or colleges from across the Russian Federation, rated the...

The Almost Unbearable Lightness of Personality.

Abstract: Researchers seem to believe that accepting the reality of personality traits inevitably leads to a dogma about the incredible complexity of these traits and their judgment. This article challenges this thesis and its assertion that the accuracy of personality judgment can only be achieved when a "good target" or a "good trait" is being judged using "good information," and when a "good judge" makes the judgment. It is argued that because trait dimensions are universally applicable to all persons, there is no stable ranking of good targets. The independence of major personality dimensions is incompatible with the distinction between good and bad traits. There seems to be no privileged source of information because information is everywhere, and its retrieval requires unsophisticated skills. Because of the simplicity of the task, it is usually impossible to determine who a good judge is. A new thesis of simplicity is proposed as a guide through equally plausible personality theories.