Top Research Papers on Personality

The Skinned Multi-Person Linear model (SMPL) is a skinned vertexbased model that accurately represents a wide variety of body shapes in natural human poses that is compatible with existing graphics pipelines and iscompatible with existing rendering engines.

This talk will introduce the current research on smart textiles for biomedical monitoring and personalized diagnosis, textile for therapy, and textile power generation as an energy solution for the future wearable medical devices.

Experimental results show that personalized LLMs trained using P-RLHF generate responses that are more closely aligned with individual user preferences, outperforming vanilla, non-personalized RLHF and prompting-based personalization approaches across different tasks.

The works of Julio Caro Baroja are both voluminous and varied and it would be presumptious on the part of a disciple to take advantage of this occasion to offer however elogious an appraisal of them, and to do justice to them it would take much more space than I have any right to in such a volumen as this.

This book explores the social, political, and legal implications of the collection and use of personal information in computer databases from all angles and recommends how the law can be reformed to simultaneously protect the authors' privacy and allow us to enjoy the benefits of their increasingly digital world.

Studies of personality at work have made significant contributions to theory and applied practice in work and organizational settings. This review article proposes that there are also reciprocal influences between core personality science and research on personality in work and organizations, each drawing on insights from the other. Following this tradition, the objective of this article is to review key foundations of research in a way that informs and critically reflects on state-of-the-art evidence in four main themes: (1) conceptualization and structure of personality at work, (2) personal...

This study evaluated the potential of ChatGPT, a large language model, to generate mentalizing-like abilities that are tailored to a specific personality structure and/or psychopathology. Mentalization is the ability to understand and interpret one’s own and others’ mental states, including thoughts, feelings, and intentions. Borderline Personality Disorder (BPD) and Schizoid Personality Disorder (SPD) are characterized by distinct patterns of emotional regulation. Individuals with BPD tend to experience intense and unstable emotions, while individuals with SPD tend to experience flattened or ...

The language used to refer to autism has been a topic of ongoing debate. Research in English-speaking countries indicated an overall preference for identity-first language (‘autistic person’) among autistic adults rather than person-first language (‘person with autism’). We examined terminology preference in Dutch autistic adults (n = 1026; 16–84 years; 57% women) and parents of autistic children (n = 286) via an online survey. A majority of self-reporting adults with autism (68.3%) and parents (82.5%) demonstrated a person-first language preference. A younger age, higher IQ and more autistic ...

By infusing personalized selection of Embedding and personalized modification of DNN parameters, PEPNet tailored to the interests of each individual obtains significant performance gains, with online improvements exceeding 1% in multiple task metrics across multiple domains.

The limitations of precision psychiatry are reviewed arguing that it cannot reach its goal if it does not include core elements of the processes that give rise to psychopathological states, which include the agency and experience of the person.

The publication of the Alternative Model of Personality Disorder (AMPD) was a signpost achievement in the personality assessment. However, research on the AMPD has generally not led to either a deeper understanding of personality disorder or personality assessment or new ideas about how to provide better care for people with personality disorder diagnoses. A significant portion of research has focused on narrow issues and appears to be driven in part by ideological differences between scholars who prefer Criterion A (personality functioning) or Criterion B (maladaptive traits). I trace these i...

Truly personalized precision medicine combines pharmacogenomics (PGx), a person’s lived medication experiences and ethics; person-centeredness lies at the confluence of these considerations. A person-centered perspective can help inform PGx-related treatment guidelines, shared decision-making for PGx-related therapeutics and PGx-related healthcare policy. This article examines the interplay between these components of person-centered PGx-related care. Ethics concepts addressed include privacy, confidentiality, autonomy, informed consent, fiduciary responsibility, respect, the burden of pharmac...

We study personalized pricing in a general oligopoly model. The impact of personalized pricing relative to uniform pricing hinges on the degree of market coverage. If market conditions are such that coverage is high (e.g., the production cost is low or the number of firms is high), personalized pricing harms firms and benefits consumers, whereas the opposite is true if coverage is low. When only some firms have data to personalize prices, consumers can be worse off compared to when either all or no firms personalize prices. (JEL D21, D43, D82)

This review aims to introduce readers to the opportunities, challenges, pitfalls, and implications of Personality Computing and highlight how modern personality and computer science can be married more effectively to provide practically useful personality assessment.

The effects of a 3-mo digital personality change intervention using a randomized controlled trial and the smartphone application PEACH are examined to provide the strongest evidence to date that normal personality traits can be changed through intervention in nonclinical samples.

We make choices about our own appearance and evaluate others' choices – every day. These choices are meaningful for us as individuals and as members of communities. But many features of personal appearance are due to luck, and many cultural beauty standards make some groups and individuals worse off (this is called “lookism”). So, how are we to square these two facets of personal appearance? And how are we to evaluate agency in the context of personal beauty? I identify three ways of responding to these questions: beauty advocacy, beauty skepticism, and beauty revisionism. Advocates connect an...

America’s individualistic culture is reflected in deeply held beliefs about how people should manage their health and their (lack of) money. In this essay, we trace the ideological discourse of individualism at macro and micro levels, explicating how macro-level discourses surrounding finances and health fulfill key functions of individualism: explanatory and evaluative as well as identity and prescriptive. For each function, we illustrate at the micro level how social adherence to discourses of individualism affects people, relationships, and communities. In particular, we argue, failure to l...

This work shows that personalized alignment can be achieved by decomposing preferences into multiple dimensions based on personalizations that are declared as desirable by the user and can be efficiently trained independently in a distributed manner and combined effectively post-hoc through parameter merging.

This survey explores the domain of personalized FL (PFL) to address the fundamental challenges of FL on heterogeneous data, a universal characteristic inherent in all real-world datasets.

This paper is an attempt to systematically present the problem of various N-person Prisoners' Dilemma games and some of their possible solutions and the role of payoff curves, personalities, and neighborhood.

This paper introduces an effective method for computation-efficient personalized style video generation without requiring access to any personalized video data. It reduces the necessary generation time of similarly sized video diffusion models from 25 seconds to around 1 second while maintaining the same level of performance. The method's effectiveness lies in its dual-level decoupling learning approach: 1) separating the learning of video style from video generation acceleration, which allows for personalized style video generation without any personalized style video data, and 2) separating ...

This book offers a new perspective on John Locke’s account of persons and personal identity by considering it within the context of his broader philosophical project and the philosophical debates of his day. Ruth Boeker’s interpretation emphasizes the importance of the moral and religious dimensions of his view. She argues that taking seriously Locke’s general approach to questions of identity over time, means that his account of personhood should be considered separately from his account of personal identity over time. On this basis, Boeker argues that Locke endorses a moral account of person...

This map shows how to identify exits in an area with an active fire alarm and how to use exit stairs in the event of a fire.

Personality traits and physical health both change over the life span. Theoretical models and empirical evidence suggest that these changes are related. The current study investigated the dynamic relations between personality traits and physical health at both the between-person and the within-person levels. Data were drawn from three longitudinal studies: the Veterans Affairs Normative Aging Study (NAS; N = 1,734), the Longitudinal Internet Studies for the Social Sciences (LISS; N = 13,559), and the Swedish Adoption/Twin Study of Aging (SATSA, N = 2,209). Using random intercept cross-lagged p...

Importance Borderline personality disorder (BPD) affects approximately 0.7% to 2.7% of adults in the US. The disorder is associated with considerable social and vocational impairments and greater use of medical services. Observations Borderline personality disorder is characterized by sudden shifts in identity, interpersonal relationships, and affect, as well as by impulsive behavior, periodic intense anger, feelings of emptiness, suicidal behavior, self-mutilation, transient, stress-related paranoid ideation, and severe dissociative symptoms (eg, experience of unreality of one's self or sur...

This paper proposes a new method to effectively aggregate detailed person descriptions and visual features into a graph, namely Graph-based Person Signature, and utilizes Graph Convolutional Networks to learn the topological structure of the visual signature of a person.

Experimental results not only show that the produced graph representations are well associated with target subjects’ personality traits in both human-human and human-machine interaction scenarios, and outperform the existing approaches with significant advantages, but also demonstrate that the proposed novel strategies help in learning more reliable personality representations.

Magda Arnold (1903-2002) is well known for her research on emotions, motivation, and memory from a neurological, physiological, and psychological point of view. However, her works in the field of the anthropological foundations of personality are less known and discussed. The present study presents some aspects of Arnold's conception of a human's nature as being based or convergent on Aquinas's doctrine: (a) a nonreductionist conception of the human being, (b) the psychophysical unity of the person, (c) the self-ideal as it ought to be as the main factor of personality integration, and (d) God...

The current study presented the first meta-analytic review on the associations between the Big Five personality traits and stress measured under different conceptualizations (stressor exposure, psychological and physiological stress responses) using a total of 1,575 effect sizes drawn from 298 samples. Overall, neuroticism was found to be positively related to stress, whereas extraversion, agreeableness, conscientiousness, and openness were negatively linked to stress. When stress assessed under different conceptualizations was tested, only neuroticism, agreeableness, and conscientiousness wer...

Using case studies in the finance and health domains, it is shown that more accurate text-based personality detection can translate into significant improvements in downstream applications such as forecasting future firm performance or predicting pandemic infection rates.

The underlying science and technologies germane to pharmacogenomics and personalized medicine are addressed, integrated with economic, ethical, and regulatory issues, providing insights into the current status and future direction of health care.

Applying this method, it is found that personality measurements in the outputs of some LLMs under specific prompting configurations are reliable and valid, and personality in LLM outputs can be shaped along desired dimensions to mimic specific human personality profiles.

The research shows that to understand such paramount terminology in data protection law, relevant factors are presented to assess the direct or indirect identification of a natural person, whereas Indonesian law on data protection has not yet established such assessments.

This paper proposes a novel framework, named PALR, which aiming to combine user history behaviors with LLMs to generate user preferred items to generate recommended items, and fine-tune a 7 billion parameters LLM for the ranking purpose.

Several psychological approaches concern explaining the dynamic psychological processes and mechanisms that render personality a coherent whole, a “well-sounding concert.” Building upon personality systems interactions (PSI) theory, which explains personality functioning on the basis of interactions among cognitive and affective-motivational personality systems, we demonstrate how diverse perspectives on personality coherence may functionally be integrated. To do so, we describe interactions among four cognitive personality systems considered to underlie and optimize two meta principles of per...

It is argued that hopamine is a prerequisite for personalized medicine and several practical recommendations for how medical professionals can introduce the concept of hopamine in daily clinical practice are offered.

A training-free Personalization approach for SAM, termed as PerSAM, which effectively adapt SAM for private use without any training, and can enhance DreamBooth to personalize Stable Diffusion for text-to-image generation, which discards the background disturbance for better target appearance learning.

It is suggested herein is that the g-PD, the p factor, and the GFP reflect the impairments that are secondary to the traits and disorders rather than the trait and/or disorders themselves.

This task seeks to adjust the models’ responses to opinion-related questions on specified topics since an individual’s personality often manifests in the form of their expressed opinions, thereby showcasing different personality traits.

: This paper builds on the key ideas advanced in two editions of Creating Life Before Death (2020 and 2024) as well as eight articles published during and since that period. Its focus is on answering two questions. Exactly how can anyone move away from a lifetime of personal conformity to a bureaucratic life with its focus on hierarchy so as to fulfill one’s incredible intellectual, emotional and problem-solving potentials? And how is it possible for contemporary societies to avoid the worldwide catastrophes of nuclear war, climate disasters, or other worldwide problems, and proceed to reach f...

This work proposes to incorporate body structure perception to guide person position localization and introduces the Structure-guided Center Learning (SCL) to unify the quality of the body structure perception in the displacement map with the confidence of the person existence in the center map, thus achieving more accurate keypoint position localization results even with extreme poses.

Findings from a qualitative study about what ‘recovery’ means to persons with schizophrenia can help in identifying meaning of recovery through the perspectives of persons with mental illness and in developing and implementing recovery-oriented services.

Providing memorable experiences is considered very effective strategy for gaining a sustainable competitive advantage. Memorable tourism experience (MTE) is still a relatively novel concept, hence its antecedents and outcomes are not completely identified. The primary goal of this research was to explore tourist personality and travel motivation as antecedents and the perceived destination personality, satisfaction, and revisit intention as outcomes of an MTE. The study was conducted on a sample of 614 foreign visitors to three biggest urban destinations in Serbia (Belgrade, Novi Sad, and Nis)...

A novel Deep Surroundings-person Separation Learning (DSSL) model is proposed to effectively extract and match person information, and hence achieve a superior retrieval accuracy and achieves the state-of-the-art performance on CUHK-PEDES.

Results indicate that the psychotic personality organization was more frequently present in Korsakoff's syndrome patients compared to a psychiatric reference population, leading to increased vulnerability for the development of severe psychiatric issues.

: The purpose of the study is to study the development and peculiarities of the legislation of the European Union on the protection of personal data. The scientific novelty lies in the identification and analysis of the rules enshrined in EU Directives and laws that are aimed at protecting citizens' personal data. As a result of the study, certain conclusions were drawn, the main one of which is that residents of EU countries are concerned about the protection of their personal information, therefore, the development of legislation in this area is currently at the peak of relevance.

Abstract:People who produce something notable for future generations during their lives often have collections of documents and artifacts with potential cultural heritage value, but such collections can be lost forever just as easily as preserved and enjoyed by future generations. This paper reports on five case studies of significant individuals’ collections to explore how such individuals and their families value and manage their collections, the decisions they make and challenges they face in doing so, and what effects these and other challenges may have on the transference of their collect...

Large volumes of data may be used to train unsupervised learning algorithms, which makes them effective tools for businesses trying to better understand and cater to their clientele.

This work presents a new task for NLP: third person to first person rephrasing, and creates and publishes a novel dataset with 3493 human-annotated pairs of celebrity facts in the third person with their rephRased sentence in the first person.

This study pioneers the investigation of LLM safety from a personality perspective, providing new insights into LLM safety enhancement and finds that LLMs with different personality traits are differentially susceptible to jailbreak.