scholarly journals Personality-Based Affective Adaptation Methods for Intelligent Systems

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 163
Author(s):  
Krzysztof Kutt ◽  
Dominika Drążyk ◽  
Szymon Bobek ◽  
Grzegorz J. Nalepa

In this article, we propose using personality assessment as a way to adapt affective intelligent systems. This psychologically-grounded mechanism will divide users into groups that differ in their reactions to affective stimuli for which the behaviour of the system can be adjusted. In order to verify the hypotheses, we conducted an experiment on 206 people, which consisted of two proof-of-concept demonstrations: a “classical” stimuli presentation part, and affective games that provide a rich and controllable environment for complex emotional stimuli. Several significant links between personality traits and the psychophysiological signals (electrocardiogram (ECG), galvanic skin response (GSR)), which were gathered while using the BITalino (r)evolution kit platform, as well as between personality traits and reactions to complex stimulus environment, are promising results that indicate the potential of the proposed adaptation mechanism.

2000 ◽  
Vol 5 (1) ◽  
pp. 44-51 ◽  
Author(s):  
Peter Greasley

It has been estimated that graphology is used by over 80% of European companies as part of their personnel recruitment process. And yet, after over three decades of research into the validity of graphology as a means of assessing personality, we are left with a legacy of equivocal results. For every experiment that has provided evidence to show that graphologists are able to identify personality traits from features of handwriting, there are just as many to show that, under rigorously controlled conditions, graphologists perform no better than chance expectations. In light of this confusion, this paper takes a different approach to the subject by focusing on the rationale and modus operandi of graphology. When we take a closer look at the academic literature, we note that there is no discussion of the actual rules by which graphologists make their assessments of personality from handwriting samples. Examination of these rules reveals a practice founded upon analogy, symbolism, and metaphor in the absence of empirical studies that have established the associations between particular features of handwriting and personality traits proposed by graphologists. These rules guide both popular graphology and that practiced by professional graphologists in personnel selection.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 233-233
Author(s):  
Xiaocao Sun ◽  
Minhui Liu ◽  
Christina E Miyawaki ◽  
Yuxiao Li ◽  
Tianxue Hou ◽  
...  

Abstract Personality is associated with predictors of homebound status like frailty, incident falls, and depression. It has been rarely investigated whether personality predicts homebound status among older adults. Using the combining cross-sectional data of the Year 2013 and Year 2014 data from the National Health and Aging Trends Study (NHATS), this study examined the association between personality traits and homebound status in a sample of community-dwelling older adults aged 65 years and older (N=2,788). Homebound status (non-homebound, semi-homebound, and homebound) was determined by the frequency, difficulty, and help of outdoor mobility. Personality traits, including conscientiousness, agreeableness, openness, extraversion, and neuroticism were assessed using the 10-item Midlife Development Inventory on a rating scale from 1 (not at all) to 4 (a lot). Each personality trait was included as a predictor in an ordinal logistic regression model to examine its association with homebound status after adjusting demographic and health-related covariates. The sample was on average 79±7.53 years old, non-Hispanic White (72.0%), female (58.6%), living alone (35.4%) or with spouse/partner only (37.4%). Seventy-four percent, 18%, and 8% of participants were non-homebound, semi-homebound, and homebound, respectively. Homebound participants tended to be less-educated older females. The average scores of conscientiousness, agreeableness, openness, extraversion, and neuroticism were 3.19±0.75, 3.57±0.56, 2.81±0.83, 3.13±0.75, and 2.22±0.86, respectively. Among these five personality traits, high conscientiousness (OR=1.34, p<0.001) and extraversion (OR=1.16, p=.03) were associated with a reduced likelihood of being homebound. These findings provided a basis for potential personality assessment to identify and protect individuals with high homebound risk.


1968 ◽  
Vol 23 (1) ◽  
pp. 231-243 ◽  
Author(s):  
Helen Schucman ◽  
William N. Thetford

The study was based on the Personality Assessment System (PAS), a new approach to relating personality traits to Wechsler test performance. The purpose was to study relations between PAS personality patterns and expressed symptoms in conversion hysterics. This group was chosen because their symptoms presumably reflect essential personality features. The sample of 124 Ss was divided in 2 parts, the data being obtained and analyzed separately. 3 specific hypotheses, in line with PAS constructs, were formulated on the basis of findings obtained with the first part and tested with the second. 2 of the 3 hypotheses were upheld.


Author(s):  
Luma Tabbaa ◽  
Ryan Searle ◽  
Saber Mirzaee Bafti ◽  
Md Moinul Hossain ◽  
Jittrapol Intarasisrisawat ◽  
...  

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were captured, together with self-reported responses, from healthy participants (n=34) experiencing 360-VEs (n=12, 1--3 min each) selected through focus groups and a pilot trial. Statistical analysis confirmed the validity of the selected 360-VEs in eliciting the desired emotions. Preliminary machine learning analysis was carried out, demonstrating state-of-the-art performance reported in affective computing literature using non-immersive modalities. VREED is among the first multimodal VR datasets in emotion recognition using behavioural and physiological signals. VREED is made publicly available on Kaggle1. We hope that this contribution encourages other researchers to utilise VREED further to understand emotional responses in VR and ultimately enhance VR experiences design in applications where emotional elicitation plays a key role, i.e. healthcare, gaming, education, etc.


2020 ◽  
Author(s):  
Chenglong Cao ◽  
Jian Song ◽  
Binbin Liu ◽  
Jianren Yue ◽  
Yuzhao Lu ◽  
...  

Abstract Background: Cognitive impairments have been reported in patients with pituitary adenoma; however, there is a lack of knowledge of investigating the emotional stimuli processing in pituitary patients. Thus, we aimed to investigate whether there is emotional processing dysfunction in pituitary patients by recording and analyzing the late positive potential (LPP) elicited by affective stimuli.Methods: Evaluation of emotional stimuli processing by LPP Event related potentials (ERPs) was carried out through central- parietal electrode sites (C3, Cz, C4, P3, Pz, P4) on the head of the patients and healthy controls (HCs).Results: In the negative stimuli, the amplitude of LPP was 2.435 ± 0.419μV for HCs and 0.656 ± 0.427μV for patient group respectively ( p = 0.005). In the positive stimuli, the elicited electric potential 1.450 ± 0.316μV for HCs and 0.495 ± 0.322μV for patient group respectively ( p = 0.040). Moreover, the most obvious difference of LPP amplitude between the two groups existed in the right parietal region. On the right hemisphere (at the P4 site), the elicited electric potential was 1.993 ± 0.299μV for HCs and 0.269 ± 0.305μV for patient group respectively( p = 0.001).Conclusion: There are functional dysfunction of emotional stimuli processing in pituitary adenoma patients. Our research provides the electrophysiological evidence for the presence of cognitive dysfunction which need to be intervened in the pituitary adenoma patients.


Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 399 ◽  
Author(s):  
David González-Ortega ◽  
Francisco Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez

In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. The Android app can monitor drivers and their parameters can be used to analyze the relation between their physiological states and driving performance. The app can configure, select, receive, process, represent graphically, and store the signals from electrocardiogram (ECG), electromyogram (EMG) and galvanic skin response (GSR) modules and accelerometers, a magnetometer and a gyroscope. The Android app is synchronized in two steps with a driving simulator that we previously developed using the Unity game engine to analyze driving security and efficiency. The Android app was tested with different sensors working simultaneously at various sampling rates and in different Android devices. We also tested the synchronized working of the driving simulator and the Android app with 25 people and analyzed the relation between data from the ECG, EMG, GSR, and gyroscope sensors and from the simulator. Among others, some significant correlations between a gyroscope-based feature calculated by the Android app and vehicle data and particular traffic offences were found. The Android app can be applied with minor adaptations to other different users such as patients with chronic diseases or athletes.


1970 ◽  
Vol 27 (3) ◽  
pp. 1005-1006 ◽  
Author(s):  
William N. Thetford ◽  
Helen Schucman

2 previously supported hypotheses were tested with 30 Ss showing conversion reactions. Relations between their symptoms and personality traits as identified by the Personality Assessment System (PAS) were studied. The results support the hypotheses and provide further evidence of the usefulness of the PAS in studying patient groups.


1999 ◽  
Vol 16 (2) ◽  
pp. 59-60 ◽  
Author(s):  
Susan O'Hanrahan ◽  
Michael Fitzgerald ◽  
Myra O'Regan

AbstractObjectives: This study set out to explore if there were measurable personality characteristics specific to parents of people with autism.Method: Parents of 12 people with a DSM-III-R diagnosis of autism presented for the study. Each of the people with autism were matched where possible with a counterpart without autism but with a lifelong disability on parameters of age, sex and IQ level. Parents of the ‘autism’ and ‘non-autism’ groups were then interviewed in detail using four personality assessment instruments. Scores were tabulated for both mothers and fathers in each group and intergroup comparisons were made.Results: No significant personality profile difference was identifiable between the two parental groups.Conclusions: Personality traits specific to parents of people with autism are not identifiable in this study thus casting doubt on the validity of personality phenotypes as measurable heritability factors in autism.


2014 ◽  
Vol 45 (1) ◽  
pp. 73-79 ◽  
Author(s):  
Barbara Gawda

Abstract Background: The aim of the study is to clarify the beliefs and numerous doubts about the possible identification of personality in handwriting. The purpose of the described studies was to show an association between personality traits and handwriting features. The author aimed to verify whether or not there are any specific characteristics of writing in relation to personality traits. | Method: Two different studies have been described. A different number of subjects participated in the investigations and different techniques for personality assessment were used; however, the same set of handwriting features was analyzed in each study. In the first study the NEO-FFI (n=260) was used, while the EPQ-R (n=180) was used in the second study. The graphic characteristics of the handwriting samples were examined by forensic experts. | Results: The correlations between the personality traits and handwriting features were counted. The results showed that there were few significant correlations between handwriting parameters and personality traits, as measured by the NEO-FFI and EPQ-R. | Conclusions: No writing characteristics were specific to personality traits. There is no evidence for assessment of personality on the base of handwriting


2019 ◽  
Author(s):  
Meredith Bucher ◽  
Takakuni Suzuki ◽  
Douglas Samuel

Personality traits have been hypothesized to be clinically useful for diagnosis, client conceptualization, treatment planning, as well as for predicting treatment outcomes. Although several studies examined the relation between personality traits and specific therapy outcomes, this literature has not yet been systematically reviewed. Thus, the purpose of the current study was to investigate the relations between personality traits and various therapeutic outcomes. Traits were organized via the domains of the five-factor model to provide a common framework for interpreting effects. Across 99 studies (N=107,206), overall findings indicated that traits were systematically related to outcomes, with many specific relations congruent with theorized predictions. Generally, lower levels of neuroticism and higher levels of extraversion, agreeableness, conscientiousness, and openness were associated with more favorable outcomes. More specifically, agreeableness had positive associations with therapeutic alliance and conscientiousness was positively related to abstinence from substances suggesting these traits are likely a beneficial factor to consider at the outset of services. Personality traits also related to various outcomes differently based on moderators. For example, duration of treatment moderated links between traits and outcomes suggesting these effects are amplified over longer services. Overall results suggest that personality assessment can aid with case conceptualization by suggesting potential strengths as well as barriers to treatment.


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