Hasil untuk "Industrial psychology"

Paul E. Spector

Orlova Anastasia

This article examines semantic shifts in psychological concepts across scientific and popular media discourse using methods of distributional semantics applied to Russian-language corpora. Two corpora were compiled: a scientific corpus of approximately 300 research articles from the journals Psychology. Journal of the Higher School of Economics and Vestnik of Saint Petersburg University. Psychology (767,543 tokens) and a popular science corpus consisting of texts from the online psychology platforms Yasno and Chistye kogntsii (1,199,150 tokens). After preprocessing (OCR recognition, lemmatization, removal of stop words and non-informative characters), the corpora were analyzed through frequency analysis, clustering, and the identification of semantic associations. The results reveal significant differences in vocabulary and conceptual framing between the two discourse types: scientific texts emphasize methodological and clinical terminology, while popular science materials foreground everyday experience and therapeutic practice. A comparison of semantic associations for key concepts such as burnout and depression shows that scientific discourse links these terms to psychological resources, symptomatology, and diagnostic constructs, whereas popular science discourse frames them through personal narratives, emotions, and everyday situations. These findings demonstrate a clear shift from precise professional terminology toward more generalized and experiential meanings in popular media discourse and confirm the effectiveness of distributional semantics methods for identifying semantic transformations of psychological concepts across different communicative contexts.

Jessy A. Terpstra, Sylvia van Beugen, Rosalie van der Vaart et al.

Background: Rheumatic and musculoskeletal diseases have a high burden. We aimed to evaluate the effectiveness of a therapist-guided internet-based cognitive-behavioral therapy (iCBT) on pain coping and secondary physical, psychological, and disease impact outcomes in hand osteoarthritis and fibromyalgia. Method: Two single-center, parallel-group, superiority randomized controlled trials were performed. In one study, 70 adults with hand osteoarthritis visiting a Dutch hospital were randomized to care-as-usual or care-as-usual plus iCBT (each group n = 35; ClinicalTrials.gov: NCT05872633). In another study, 70 adults with fibromyalgia visiting a Dutch fibromyalgia-specialized center were randomized to iCBT (n = 34) or a waitlist (n = 36; ClinicalTrials.gov: NCT06322485). Standardized self-report questionnaires were used at baseline, post-intervention, 6-week, and 3-month follow-up and analyzed with statistician-masked intention-to-treat linear mixed models. The primary endpoint was pain coping at post-intervention. Results: In patients with hand osteoarthritis (mean age = 62.4 ± 7.6), no between-group effect on pain coping was found at post-intervention (p = 0.187; Cohen's d = 0.14), while a small to medium effect favored iCBT at 6-week follow-up (p = 0.039; d = 0.41). In patients with fibromyalgia (mean age = 46.4 ± 11.8), a medium to large improvement in pain coping favoring iCBT at post-intervention (p = 0.003; d = 0.60) was not sustained at follow-up. Between-group small to large improvements were found in secondary outcomes (e.g., well-being, osteoarthritis disability, fibromyalgia pain and impact), predominantly at 3-month follow-up (p ≤ 0.047; 0.30 ≤ d ≤ 0.98). Conclusions: ICBT improved pain coping in fibromyalgia at the primary endpoint, whereas the hand osteoarthritis trial was negative at the primary endpoint. Exploratory secondary findings suggest potential benefits for both conditions but warrant replication, particularly in subgroups with a high disease impact.

Xinyi Zhao, Ralph Hertwig, Dirk U. Wulff

The Sustainable Development Goals (SDGs) offer a lens for tracking societal change, yet contributions from the social and behavioral sciences have rarely been integrated into policy agendas. To take stock and create a baseline and benchmark for the future, we assemble 233,061 psychology publications (1894 -- 2022) and tag them to the 17 SDGs using a query-based classifier. Health, education, work, inequality, and gender dominate the study of SDGs in psychology, shifting from an early focus on work to education and inequality, and since the 1960s, health. United States-based research leads across most goals. Other countries set distinct priorities (e.g., China: education and work; Australia: health). Women comprise about one-third of authors, concentrated in social and health goals, but have been underrepresented in STEM-oriented goals. The 2015 launch of the SDGs marked a turning point: SDG-tagged publications have been receiving more citations than comparable non-SDG work, reversing a pre-2015 deficit. Tracking the SDGs through psychology clarifies long-run engagement with social priorities, identifies evidence gaps, and guides priorities to accelerate the field's contribution to the SDG agenda.

Xinyi Zhao, Anna I. Thoma, Ralph Hertwig et al.

Although more women than men enter social science disciplines, they are underrepresented at senior levels. To investigate this leaky pipeline, this study analyzed the career trajectories of 78,216 psychology researchers using large-scale bibliometric data. Despite overall constituting over 60\% of these researchers, women experienced consistently higher attrition rates than men, particularly in the early years following their first publication. Academic performance, particularly first-authored publications, was strongly associated with early-career retention -- more so than collaboration networks or institutional environment. After controlling for gender differences in publication-, collaboration-, and institution-level factors, women remained more likely to leave academia, especially in early-career stages, pointing to persistent barriers that hinder women's academic careers. These findings suggest that in psychology and potentially other social science disciplines, the core challenge lies in retention rather than recruitment, underscoring the need for targeted, early-career interventions to promote long-term gender equity.

Meng Li, Yu Zhang, Leshan Li

The Industry 4.0 refers to a industrial ecology which will merge the information system, physical system and service system into an integrate platform. Since now the industrial designers either conceive the physical part of products, or design the User Interfaces of computer systems, the new industrial ecology will give them a chance to redefine their roles in R&D work-flow. In this paper we discussed the required qualities of industrial designer in the new era, according to an investigation among Chinese enterprises. Additionally, how to promote these qualities though educational program.

Nathan Lane

I study the impact of industrial policies on industrial development by considering an important episode during the East Asian miracle: South Korea's heavy and chemical industry (HCI) drive, 1973--1979. Based on newly assembled data, I use the introduction and termination of industrial policies to study their impacts during and after the intervention period. (1) I reveal that heavy-chemical industrial policies promoted the expansion and dynamic comparative advantage of directly targeted industries. (2) Using variation in exposure to policies through the input-output network, I demonstrate that the policy indirectly benefited downstream users of targeted intermediates. (3) The benefits of HCI persisted even after the policy ended, as some results were slower to appear. The findings suggest that the temporary drive shifted Korean manufacturing into more advanced markets and supported durable change. This study helps clarify the lessons drawn from the East Asian growth miracle. JEL Codes: L5, O14, O25, N6. Keywords: industrial policy, East Asian miracle, economic history, industrial development, Heavy-Chemical Industry Drive, Heavy and Chemical Industry Drive.

Xiangen Hu, Jiarui Tong, Sheng Xu

Training and education in human-centered fields require authentic practice, yet realistic simulations of human behavior have remained limited. We present a multi-agent psychological simulation system that models internal cognitive-affective processes to generate believable human behaviors. In contrast to black-box neural models, this system is grounded in established psychological theories (e.g., self-efficacy, mindset, social constructivism) and explicitly simulates an ``inner parliament'' of agents corresponding to key psychological factors. These agents deliberate and interact to determine the system's output behavior, enabling unprecedented transparency and alignment with human psychology. We describe the system's architecture and theoretical foundations, illustrate its use in teacher training and research, and discuss how it embodies principles of social learning, cognitive apprenticeship, deliberate practice, and meta-cognition.

Gillian Loubser, Chantel Harris

Orientation: Amid growing health and safety concerns in South African construction, leaders must foster and model safe behaviours to promote compliance and participation. Despite construction being inherently dangerous, psychological capital (PsyCap) offers a constructive alternative to enhance safety behaviour. Research purpose: The study examined the relationship between authentic leadership and safety behaviour as mediated by PsyCap and its individual dimensions separately. Motivation for the study: The construction industry must identify new ways to manage challenging work environments to reduce safety violations which impact employee wellness, accident track records and organisational performance. Viewing safety through a positive lens may help organisations identify novel approaches to improve safety behaviour in construction. Research approach/design and method: This cross-sectional, quantitative study used online and paper-based surveys to investigate relationships between the constructs. Convenience sampling was employed to recruit workers across hierarchical levels at three locations within two South African construction firms. Main findings: There is a positive relationship between authentic leadership and safety behaviour. Hope and efficacy fully mediated the relationship between authentic leadership and safety behaviour. Optimism partially mediates the relationship, while resilience has no impact. Practical/managerial implications: Practitioners can apply these findings to support talent management and other workplace interventions to improve leadership development, foster PsyCap and improve safety behaviour. Contributions/value-add: This research establishes the foundation for understanding how authentic leadership and PsyCap influence safety behaviour in the construction industry. It will help South African construction firms manage demanding environments and reduce occupational safety violations and related injuries.

Tang Y, Liu Q, Cheng W et al.

Yuanyuan Tang,1,* Qiqi Liu,2,* Wenlin Cheng,3 Shaonan Liu,1 Lan Yi,4 Rui Li3 1Wuxi Medical College, The Jiangnan University, Wuxi, Jiangsu Province, 214122, People’s Republic of China; 2Nursing College, The Beihua University, Jilin, Jilin Province, 132000, People’s Republic of China; 3Department of Nursing, The Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, 200335, People’s Republic of China; 4Ophthalmology Centre, The Tongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, 200335, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wenlin Cheng, Department of Nursing, The Tongren Hospital Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, People’s Republic of China, Tel +8613304424225, Email 1769117466@qq.com Rui Li, Department of Nursing, The Tongren Hospital Shanghai Jiao Tong University School of Medicine, No. 1111 Xianxia Road, Changning District, Shanghai, People’s Republic of China, Tel +8618616365160, Email 18616365160@163.comAim: To systematically integrate the psychosocial experiences and coping mechanisms of AIDS patients after the disease, and to understand their true feelings, in order to provide a basis for better implementation of psychological interventions for AIDS patients.Methods: An automated search of the Cochrane Library, PubMed, JBI, CINAHL, Web of Science, EBSCO, Embase database, CNKI, Wanfang Database, Wipro Database, and SinoMed from the database’s creation until March 2025 turned up all the literature on the psychosocial experience of AIDS patients and response strategies. The quality of the gathered literature was assessed using the JBI Center for Evidence-Based Health Care’s 2016 Qualitative Research Evaluation Tool, and the results were compiled and interpreted using the pooled synthesis approach.Results: A total of 15 papers were included, and 36 themes were distilled and grouped into 11 new categories, which were brought together into 3 integrative results: complex psychological responses: identity ruptures and struggles, reconstructing psychological adaptations: and from collapse to reconstruction, adapting coping strategies: from passive acceptance to active resistance.Conclusion: The psychosocial experience of AIDS patients is multidimensional and dynamic, and clinical staff should pay attention to the psychosocial problems of patients. In the future, through policy optimization, individual empowerment and social support, personalized psychological intervention and effective health education will be provided to build a more inclusive AIDS care ecosystem.Patient or Public Contribution: This systematic review did not directly involve people living with HIV to design or conduct the review. However, this finding will inform a qualitative study designed to explore the psychosocial feelings and illness coping experiences of people living with AIDS.Keywords: acquired immune deficiency syndrome, AIDS, psychosocial, meta-synthesis, qualitative research

Mike Nkongolo, Jahrad Sewnath

The research aims to explore how individuals perceive and interact with data protection practices in an era of increasing reliance on technology and the widespread availability of personal data. The study employs a game theoretical approach to investigate the psychological factors that influence individuals' awareness and comprehension of data protection measures. This involves using strategies, moves, rewards, and observations within the game to gain comprehensive insights into these psychological factors. Through the analysis of player strategies and moves within the game, the research identifies several psychological factors that impact awareness of data protection. These factors include levels of knowledge, attitudes, perceived risks, and individual differences among participants. The findings highlight the intricate nature of human cognition and behavior concerning data protection, offering insights crucial for developing effective awareness games and educational initiatives in this domain.

Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma

Advanced machine learning algorithms are increasingly utilized to provide data-based prediction and decision-making support in Industry 4.0. However, the prediction accuracy achieved by the existing models is insufficient to warrant practical implementation in real-world applications. This is because not all features present in real-world datasets possess a direct relevance to the predictive analysis being conducted. Consequently, the careful incorporation of select features has the potential to yield a substantial positive impact on the outcome. To address the research gap, this paper proposes a novel hybrid framework that combines the feature importance detector - local interpretable model-agnostic explanations (LIME) and the feature interaction detector - neural interaction detection (NID), to improve prediction accuracy. By applying the proposed framework, unnecessary features can be eliminated, and interactions are encoded to generate a more conducive dataset for predictive purposes. Subsequently, the proposed model is deployed to refine the prediction of electricity consumption in foundry processing. The experimental outcomes reveal an augmentation of up to 9.56% in the R2 score, and a diminution of up to 24.05% in the root mean square error.

Yuqi Chen, Sixuan Li, Ying Li et al.

In this work, we develop a pipeline for historical-psychological text analysis in classical Chinese. Humans have produced texts in various languages for thousands of years; however, most of the computational literature is focused on contemporary languages and corpora. The emerging field of historical psychology relies on computational techniques to extract aspects of psychology from historical corpora using new methods developed in natural language processing (NLP). The present pipeline, called Contextualized Construct Representations (CCR), combines expert knowledge in psychometrics (i.e., psychological surveys) with text representations generated via transformer-based language models to measure psychological constructs such as traditionalism, norm strength, and collectivism in classical Chinese corpora. Considering the scarcity of available data, we propose an indirect supervised contrastive learning approach and build the first Chinese historical psychology corpus (C-HI-PSY) to fine-tune pre-trained models. We evaluate the pipeline to demonstrate its superior performance compared with other approaches. The CCR method outperforms word-embedding-based approaches across all of our tasks and exceeds prompting with GPT-4 in most tasks. Finally, we benchmark the pipeline against objective, external data to further verify its validity.

Fatma Selda Oz Soysal, Egehan Kosar, Mustafa Can Gursesli et al.

In our increasingly interconnected world, maintaining a healthy balance between online and offline activities is crucial for personal well-being. The Digital Life Balance (DLB) Scale has been introduced to understand the impact of Internet use on well-being, drawing upon the framework of the psychology of harmony and harmonization. This study is aimed at validating and assessing the reliability of the DLB Scale among Turkish university students. A sample of 424 university students (50.7% females, 49.3% males; age range: 20-31 years) participated. The scale was translated into Turkish, and its language validity was ensured through expert reviews. Confirmatory factor analysis supported the construct validity of the scale, effectively measuring Digital Life Balance in the Turkish context. Convergent validity analysis revealed significant correlations between the DLB Scale and measures of well-being and addiction tendencies. The DLB Scale exhibited good internal consistency (Cronbach’s alpha and composite reliability). Test-retest reliability analysis showed consistent responses over a three-week interval. These findings provide empirical evidence for the validity and reliability of the scale, making it a valuable tool for assessing individuals’ perceptions of balance in their online and offline activities.

N. Anderson, D. Ones, H. K. Sinangil et al.

Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed et al.

We present metrics for evaluating dialog systems through a psychologically-grounded "human" lens in which conversational agents express a diversity of both states (e.g., emotion) and traits (e.g., personality), just as people do. We present five interpretable metrics from established psychology that are fundamental to human communication and relationships: emotional entropy, linguistic style and emotion matching, agreeableness, and empathy. These metrics can be applied (1) across dialogs and (2) on turns within dialogs. The psychological metrics are compared against seven state-of-the-art traditional metrics (e.g., BARTScore and BLEURT) on seven standard dialog system data sets. We also introduce a novel data set, the Three Bot Dialog Evaluation Corpus, which consists of annotated conversations from ChatGPT, GPT-3, and BlenderBot. We demonstrate that our proposed metrics offer novel information; they are uncorrelated with traditional metrics, can be used to meaningfully compare dialog systems, and lead to increased accuracy (beyond existing traditional metrics) in predicting crowd-sourced dialog judgements. The interpretability and unique signal of our psychological metrics make them a valuable tool for evaluating and improving dialog systems.

Marc Schmitt

The last decades have been characterized by unprecedented technological advances, many of them powered by modern technologies such as Artificial Intelligence (AI) and Machine Learning (ML). The world has become more digitally connected than ever, but we face major challenges. One of the most significant is cybercrime, which has emerged as a global threat to governments, businesses, and civil societies. The pervasiveness of digital technologies combined with a constantly shifting technological foundation has created a complex and powerful playground for cybercriminals, which triggered a surge in demand for intelligent threat detection systems based on machine and deep learning. This paper investigates AI-based cyber threat detection to protect our modern digital ecosystems. The primary focus is on evaluating ML-based classifiers and ensembles for anomaly-based malware detection and network intrusion detection and how to integrate those models in the context of network security, mobile security, and IoT security. The discussion highlights the challenges when deploying and integrating AI-enabled cybersecurity solutions into existing enterprise systems and IT infrastructures, including options to overcome those challenges. Finally, the paper provides future research directions to further increase the security and resilience of our modern digital industries, infrastructures, and ecosystems.

Virendra V Singh, Bikram K Dutta, Ankit Singhal et al.

Introduction: Covid-19 pandemic has been a challenge for healthcare system; the doctors in public and private setups are at the center of this challenge. Public and private doctors differ in personality and some occupational aspects. Do these differences reflect in their response to Covid? Aim: To study the difference in anxiety, depression, burnout, and professional fulfillment between doctors in public and private setup during Covid-19 second wave and to assess their coping strategies. Methods: A cross-sectional Internet-based observational study was conducted using Stanford PFI, GAD-7, PHQ-2, BFI-10, and brief COPE questionnaires. Results: A total of 114 public and 37 private doctors participated in the study. Doctors in private were older in age and deferred in personality profile. Significantly, more private doctors screened for anxiety disorder. 62.2% of private and 41.2% public doctors felt professionally fulfilled. Burnout and depression were not significantly different between groups. Active coping, acceptance, and planning coping were significantly more used by private doctors. Conclusion: There are differences how doctors in different setups respond to Covid-19, and there is need to understand these factors.

Zeb S, Akbar A, Gul A et al.

Zeb S, Akbar A, Gul A, Haider SA, Poulova P, Yasmin F. Psychol Res Behav Manag. 2021;14:1867–1876. We, the Editors and Publisher of Psychology Research and Behaviour Management, have retracted the following article. Following publication of the article, the editorial office received notification from a researcher with concerns that, aside from the first author, the remaining co-authors did not contribute to the reported study or the drafting of the original manuscript. The researcher provided evidence demonstrating that the article had been derived directly from their BSc thesis. When approached for an explanation, the authors were cooperative but were unable to provide sufficient evidence to show they had contributed to the reported study or the drafting of the original manuscript. Our editorial policies are clear that authors are expected to fulfil specific criteria to warrant authorship and in light of this, the decision was made to retract the article and the authors were notified of this. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.

Gao C

Chong Gao School of Design and Architecture, Zhejiang University of Technology, Hangzhou, Zhejiang Province, People’s Republic of ChinaCorrespondence: Chong Gao, School of Design and Architecture, Zhejiang University of Technology, 86 Liuhe Road, Xihu District, Hangzhou, Zhejiang Province, 310023, People’s Republic of China, Tel +86 13159850367, Email wenguerzhixin12345@163.comAbstract: During the COVID-19 pandemic, general population’s mental health may be influenced by their perceptions of major pandemic issues. Therefore, a systematic search was conducted to screen out those concerns and analyse the impacts. EBSCO, Scopus and Web of Science were searched for publications from inception to 1 February 2023. Nineteen articles were extracted and four issues were screened out as general population’s major concerns, namely “Risk perception”, “Government trust”, “Media coverage and authenticity”, and “Conspiracy theory”. The population’s perceptions of those issues could affect their mental health by arousing emotional reactions, which vary in different countries, social classes and groups, and would change in different stages of virus outbreak. The findings suggest that the general population’s attitudes towards COVID-19-related social issues could affect their psychological health and should receive more concerns. As different issues are related to one another, an integrated solution system is in need, which would be helpful for coping with similar public emergencies in the future.Keywords: COVID-19, attitude, perception, mental health, general population