Hasil untuk "Psychology"

Amir Konigsberg

In 1950, Alan Turing proposed replacing the question "Can machines think?" with a behavioral test: if a machine's outputs are indistinguishable from those of a thinking being, the question of whether it truly thinks can be set aside. This paper argues that Turing's move was not only a pragmatic simplification but also an epistemological commitment, a decision about what kind of evidence counts as relevant to intelligence attribution, and that this commitment has quietly constrained AI research for seven decades. We trace how Turing's behavioral epistemology became embedded in the field's evaluative infrastructure, rendering unaskable a class of questions about process, mechanism, and internal organization that cognitive psychology, neuroscience, and related disciplines learned to ask. We draw a structural parallel to the behaviorist-to-cognitivist transition in psychology: just as psychology's commitment to studying only observable behavior prevented it from asking productive questions about internal mental processes until that commitment was abandoned, AI's commitment to behavioral evaluation prevents it from distinguishing between systems that achieve identical outputs through fundamentally different computational processes, a distinction on which intelligence attribution depends. We argue that the field requires an epistemological transition comparable to the cognitive revolution: not an abandonment of behavioral evidence, but a recognition that behavioral evidence alone is insufficient for the construct claims the field wishes to make. We articulate what a post-behaviorist epistemology for AI would involve and identify the specific questions it would make askable that the field currently has no way to ask.

Molly Apsel, Michael N. Jones

Drawing on constructs from psychology, prior work has identified a distinction between explicit and implicit bias in large language models (LLMs). While many LLMs undergo post-training alignment and safety procedures to avoid expressions of explicit social bias, they still exhibit significant implicit biases on indirect tasks resembling the Implicit Association Test (IAT). Recent work has further shown that inference-time reasoning can impair LLM performance on tasks that rely on implicit statistical learning. Motivated by a theoretical link between implicit associations and statistical learning in human cognition, we examine how reasoning-enabled inference affects implicit bias in LLMs. We find that enabling reasoning significantly reduces measured implicit bias on an IAT-style evaluation for some model classes across fifteen stereotype topics. This effect appears specific to social bias domains, as we observe no corresponding reduction for non-social implicit associations. As reasoning is increasingly enabled by default in deployed LLMs, these findings suggest that it can meaningfully alter fairness evaluation outcomes in some systems, while also raising questions about how alignment procedures interact with inference-time reasoning to drive variation in bias reduction across model types. More broadly, this work highlights how theory from cognitive science and psychology can complement AI evaluation research by providing methodological and interpretive frameworks that reveal new insights into model behavior.

Vasilis Katos, Emily Rosenorn-Lanng, Jane Henriksen-Bulmer et al.

This paper explores the evolving dynamics of cybersecurity in the age of advanced AI, from the perspective of the introduced Human Layer Kill Chain framework. As traditional attack models like Lockheed Martin's Cyber Kill Chain become inadequate in addressing human vulnerabilities exploited by modern adversaries, the Humal Layer Kill Chain offers a nuanced approach that integrates human psychology and behaviour into the analysis of cyber threats. We detail the eight stages of the Human Layer Kill Chain, illustrating how AI-enabled techniques can enhance psychological manipulation in attacks. By merging the Human Layer with the Cyber Kill Chain, we propose a Sociotechnical Kill Plane that allows for a holistic examination of attackers' tactics, techniques, and procedures (TTPs) across the sociotechnical landscape. This framework not only aids cybersecurity professionals in understanding adversarial methods, but also empowers non-technical personnel to engage in threat identification and response. The implications for incident response and organizational resilience are significant, particularly as AI continues to shape the threat landscape.

Filippo Zimmaro, Henrik Olsson

Beliefs are central to individual decision-making and societal dynamics, and they are shaped through complex interactions between personal cognition and social environments. Traditional models of belief dynamics often fail to capture the interplay between internal belief systems and external influences. We present a meta-model that represents belief dynamics through three belief types: Personal beliefs, Expressed beliefs, and Social beliefs about others (PES). This distinction allows the model to account for the potential misperception of others' beliefs as well as distortions in the belief expression, and it permits the formalization of psychological processes such as ego projection, social influence, authenticity, and conformity. These processes have been studied extensively in social psychology but are rarely integrated into a comprehensive formal model. The PES meta-model also encompasses many existing belief dynamics models, such as versions of the Voter, Ising, DeGroot, and bounded confidence models. Its nested structure enables comparative analyses between different models and supports the construction of new models by recombining its components, providing a flexible framework for cumulative theory development.

Hua Wei, Paulo Shakarian, Christian Lebiere et al.

Metacognition is the concept of reasoning about an agent's own internal processes and was originally introduced in the field of developmental psychology. In this position paper, we examine the concept of applying metacognition to artificial intelligence. We introduce a framework for understanding metacognitive artificial intelligence (AI) that we call TRAP: transparency, reasoning, adaptation, and perception. We discuss each of these aspects in-turn and explore how neurosymbolic AI (NSAI) can be leveraged to address challenges of metacognition.

Lucio La Cava, Andrea Tagarelli

The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has led to a closer connection between NLP and human psychology. Scholars have been studying the inherent personalities exhibited by LLMs and attempting to incorporate human traits and behaviors into them. However, these efforts have primarily focused on commercially-licensed LLMs, neglecting the widespread use and notable advancements seen in Open LLMs. This work aims to address this gap by employing a set of 12 LLM Agents based on the most representative Open models and subject them to a series of assessments concerning the Myers-Briggs Type Indicator (MBTI) test and the Big Five Inventory (BFI) test. Our approach involves evaluating the intrinsic personality traits of Open LLM agents and determining the extent to which these agents can mimic human personalities when conditioned by specific personalities and roles. Our findings unveil that $(i)$ each Open LLM agent showcases distinct human personalities; $(ii)$ personality-conditioned prompting produces varying effects on the agents, with only few successfully mirroring the imposed personality, while most of them being ``closed-minded'' (i.e., they retain their intrinsic traits); and $(iii)$ combining role and personality conditioning can enhance the agents' ability to mimic human personalities. Our work represents a step up in understanding the dense relationship between NLP and human psychology through the lens of Open LLMs.

Zauresh Issabayeva, Aizhan Sapargaliyeva, Galiya Shubayeva et al.

This study primarily aimed to develop a program that aids parents of children with Special Educational Needs (SEN), placing emphasis on the challenges encountered in communication and understanding. The Eidemiller and Justizkis’s (2008) Family Relationship Analysis (FRA) served as the core method of the research. As inclusive education progresses, new challenges incessantly emerge necessitating immediate effective solutions. This research spotlights the triad of teachers, psychologists, and parents. A cornerstone of this research is the emphasis on nurturing a unique bond between school psychologists or teachers and parents. This bond should be anchored in mutual trust, motivation, and a conducive psychological environment. The overarching goal is to boost parental motivation, alleviate concerns linked to the child’s condition, reinforce family relationships, and cultivate a positive enabling environment for the child. The study culminated in the rollout of a tailored program connecting parents with educational professionals. This program encompassed lectures and exercises delving into understanding challenges, coupled with innovative methods like fairy tale activities and initiatives to foster tolerance. Feedback indicated a notable positive impact on parents. The research underscores the necessity of fostering parental confidence and assuaging fears regarding their child’s condition. In this context, the influence of peers and friends on the development of inclusive education should be considered in future studies.

Eduard Sala Barceló, Aritz Tutor Antón

La crisis iniciada en 2007-08 y las repercusiones habitacionales tuvieron como respuesta ciudadana la formación de grupos de resistencia a la oleada de desahucios que se produjeron por los impagos de hipoteca en primer lugar, y de alquiler o de ocupación más adelante. La Plataforma de Afectados por la Hipoteca fue considerada la pionera en 2009, pero analizando el caso de Barcelona se constata como en el último lustro han llegado a surgir más de 30 colectivos diferentes que inciden en la lucha por una vivienda digna. En este artículo se pretende analizar el contexto y la localización de estos movimientos sociales, a partir del análisis territorial del impacto de los desahucios, para analizar el alcance territorial de cada uno de ellos y ver posibles vacíos o yuxtaposiciones.

Sourav Chatterjee, Persi Diaconis, Gene B. Kim

The Tsetlin library is a well-studied Markov chain on the symmetric group $S_n$. It has stationary distribution $π(σ)$ the Luce model, a nonuniform distribution on $S_n$, which appears in psychology, horse race betting, and tournament poker. Simple enumerative questions, such as ``what is the distribution of the top $k$ cards?'' or ``what is the distribution of the bottom $k$ cards?'' are long open. We settle these questions and draw attention to a host of parallel questions on the extension to the chambers of a hyperplane arrangement.

Paul H. P. Hanel, Gabriel Lins de Holanda Coelho, Jennifer Haase

The rapid expansion of high-speed internet has led to the emergence of new digital jobs, such as digital influencers, fitness models, and adult models who share content on subscription-based social media platforms. Across two experiments involving 1,002 participants, we combined theories from social psychology and information systems to investigate how digital jobs are perceived compared to matched established jobs, and predictors of attitudes toward those jobs (e.g., symbolic threat, contact, perceived usefulness). We found that individuals in digital professions were perceived as less favorably and less hard-working than those in matched established jobs. Digital jobs were also regarded as more threatening to societal values and less useful. The relation between job type and attitudes toward these jobs was partially mediated by contact with people working in these jobs, perceived usefulness, perception of hard work, and symbolic threat. These effects were consistent across both experiments, and various moderators: openness to new experiences, attitudes toward digitalization, political orientation, and age. Among the nine jobs examined, lecturers were perceived as most positive, while adult models were viewed as least positive. Overall, our findings demonstrate that integrating theories from social psychology and information systems can enhance our understanding of how attitudes are formed.

A.A. Osintseva, V.A. Kapustina

<p style="text-align: justify;">The article is devoted to the review of national and foreign studies in professional resilience. The analyzed researches demonstrate that it is typical for foreign psychological science to consider professional resilience as a set of resources that allows a specialist in a difficult situation to provide himself with psychological well-being, which requires the skills of taking care of himself and his psychological state, providing self-help and the ability to adapt to changing conditions. The data of foreign empirical studies of professional resilience of specialists in helping professions have shown a correlation between professional resilience and emotional burnout, psychological well-being, self-compassion, and creative thinking. Also, researchers note the need for the formation of professional resilience in the educational process and labor activity. National researchers consider resilience mainly as the ability to manage functions and processes (coping, recovery) based on the internal resources of the individual, external and internal protective factors in difficult conditions in order to adapt to them and restore life satisfaction.</p>

Linda Giovanna Quiñones Gonzales, Fernando Julio Espíritu-Alvarez

Se analizaron estudios empíricos sobre liderazgo transformacional en estudiantes universitarios de pre y posgrado del Perú y el extranjero en el periodo 2014 al 2023. La muestra fue de 23 artículos de investigación obtenidos de cinco bases de datos electrónicas: ERIC, ScienceDirect, Scopus, PubMed y Alicia. Se aplicó la Declaración PRISMA 2020 para realizar la revisión sistemática del tema propuesto. Se encontró que Estados Unidos es el país de donde provienen los principales autores que más publicaron sobre el tema (30,43%), el 2021 fue el año con más publicaciones (26,08%), el enfoque y diseño más usado fue el cuantitativo (69,6%) y correlacional (42,86%) respectivamente. Los instrumentos más utilizados para medir el liderazgo transformacional fueron el Cuestionario de Liderazgo Multifactorial (MLQ) de Bass & Avolio (1990) y el Inventario de práctica de liderazgo (LPI) de Kouzes & Posner (2012). Adicionalmente, se presentó un panorama de las propiedades psicométricas de los instrumentos aplicados y los estadísticos usados por los investigadores de los estudios seleccionados. Finalmente, se brindaron algunas recomendaciones para continuar con el desarrollo del tema abordado.

Ümit Karaver, Mohammad Taghi Hosseini

Sheikh Alî al-Bistâmî Musannifak (d. 875/1470), one of the outstanding scholars of his century, spent part of his maturity period in Khorasan after his childhood and youth. Later, he migrated to the land of Rum (Anatolia) and held scientific, military and administrative duties. Musannifak, who came to the Ottoman world at the beginning of the Hijri 860’s, made an effort to introduce himself and established close relations with Grand Vizier Mahmûd Pasha (d. 878/1474). The author dedicated his work Tuhfa-i Mahmûdî/Tuhfa al-vuzara, a work of political advice, to Mahmûd Pasha. This Persian work, completed in Edirne on Thursday, 12 Cemaziyelevvel 861/7 April 1457, is the first work the author wrote when he came to the Ottoman world. The author, who was in search of patronage and seems to have been trying to show off his career, also talked about his family, teachers, ijazets, journeys and books in the eighth chapter of the work consisting of ten chapters. This part, which includes Musannifak’s autobiography, is an interesting example of a biography from the classical period. The section, which can be viewed as analogous to a CV presentation to the prospective employer in today’s terms, has not been the subject of significant scholarly work. In our article, the relevant material has been corrected, translated, and examined from different perspectives.

Zujie Cheng, Banggang Wu, Xiaoyu Deng et al.

Employees' behaviors, as well as the employees' pro-environmental behaviors (PEB), affect the company in many dimensions. Although green innovation performance (GIP) has become an important measurement of a corporate's green development, research investigating PEB from the employees' perspective remains scarce, especially in emerging markets. Therefore, in this study, we developed an original framework to explore the effects of employees' PEB on corporate GIP and examined the underlying mechanism by conducting a survey in China. The results of the empirical analysis showed that employees' PEB increases corporate GIP by positively influencing green organizational identity (GOI). In addition, we also proved how leaders' PEB positively influences GIP, whereas innovation resistance (both technology resistance and resource resistance) has a negative effect on GIP. This study attempted to contribute to theoretical research and practical decision-making in the field of green organizational behavior.

Chen Shani, Nadav Borenstein, Dafna Shahaf

Humor is an important social phenomenon, serving complex social and psychological functions. However, despite being studied for millennia humor is computationally not well understood, often considered an AI-complete problem. In this work, we introduce a novel setting in humor mining: automatically detecting funny and unusual scientific papers. We are inspired by the Ig Nobel prize, a satirical prize awarded annually to celebrate funny scientific achievements (example past winner: "Are cows more likely to lie down the longer they stand?"). This challenging task has unique characteristics that make it particularly suitable for automatic learning. We construct a dataset containing thousands of funny papers and use it to learn classifiers, combining findings from psychology and linguistics with recent advances in NLP. We use our models to identify potentially funny papers in a large dataset of over 630,000 articles. The results demonstrate the potential of our methods, and more broadly the utility of integrating state-of-the-art NLP methods with insights from more traditional disciplines.

G. Āllport, L. Postman

D. Lindsley

Birgitta Dresp-Langley, Adam Reeves

Victor Vasarely (1906-1997)and his important legacy to the study of human perception are brought to the forefront and discussed. A large part of his impressive work conveys the appearance of striking three-dimensional shapes and structures in a large-scale pictorial plane. Current perception science explains such effects by invoking brain mechanisms for the processing of monocular (2D) depth cues. Here in this study, we illustrate and explain local effects of 2D color and contrast cues on the perceptual organization in terms of figure-ground assignments, i.e. which local surfaces are likely to be seen as nearer or bigger in the image plane. Paired configurations are embedded in a larger, structurally ambivalent pictorial context inspired by some of Vasarelys creations. The figure-ground effects the configurations produce reveal a significant correlation between perceptual solutions for nearer and bigger when other monocular depth cues are not provided. In consistency with previous findings on similar, albeit simpler visual displays, a specific color may compete with luminance contrast to resolve the planar ambiguity of a complex pattern context at a critical point in the hierarchical resolution of figure-ground uncertainty. The potential role of color temperature in this process is brought forward here. Vasarely intuitively understood and successfully exploited the subtle context effects accounted for in this paper, well before empirical investigation had set out to study and explain them in terms of information processing by the visual brain.

Anastasia G. Gacheva

The article deals with the concept of culture as a cosmocracy, which is put forward in the works of Valerian Muraviev, one of the leading representatives of the 1920s cosmism. It presents the evolution of Muraviev’s view on the phenomenon of culture from the early articles to the philosophical mysteries “Sophia and the Centaur” and “The Culture of the Future.” The connection of Muraviev’s constructions with the projective philosophy of Nikolay Fedorov, the ancestor of cosmism, with the idea of the antientropical essence of culture, which is characteristic of the representatives of cosmism, is shown.