Search Results (22)

Technical job interviews have become a vulnerable environment for social engineering attacks, particularly when they involve direct interaction with malicious code. In this context, the present manuscript investigates an exploratory case study, aiming to provide an in-depth analysis of a single incident rather than seeking to generalize statistical evidence. The study examines a real-world covert attack conducted through a simulated interview, identifying the technical and psychological elements that contribute to its effectiveness, assessing the performance of artificial intelligence (AI) assistants in early detection and proposing mitigation strategies. To this end, a methodology was implemented that combines discursive reconstruction of the attack, code exploitation and forensic analysis. The experimental phase, primarily focused on evaluating 10 large language models (LLMs) against a fragment of obfuscated code, reveals that the malware initially evaded detection by 62 antivirus engines, while assistants such as GPT 5.1, Grok 4.1 and Claude Sonnet 4.5 successfully identified malicious patterns and suggested operational countermeasures. The discussion highlights how the apparent legitimacy of platforms like LinkedIn, Calendly and Bitbucket, along with time pressure and technical familiarity, act as catalysts for deception. Based on these findings, the study suggests that LLMs may play a role in the early detection of threats, offering a potentially valuable avenue to enhance security in technical recruitment processes by enabling the timely identification of malicious behavior. To the best of available knowledge, this represents the first academically documented case of its kind analyzed from an interdisciplinary perspective. Full article

This study critically examines the technological feasibility, regulatory challenges, and societal acceptance of Pilotless Passenger Aircraft (PPAs) in commercial aviation. A mixed-methods design integrated quantitative passenger surveys (n = 312) and qualitative pilot interviews (n = 15), analyzed using SPSS and NVivo to capture both statistical and thematic perspectives. Results show moderate public awareness (58%) but limited willingness to fly (23%), driven by safety (72%), cybersecurity (64%), and human judgement (60%) concerns. Among pilots, 93% agreed automation improves safety, yet 80% opposed removing human pilots entirely, underscoring reliance on human adaptability in emergencies. Both groups identified regulatory assurance, demonstrable reliability, and human oversight as prerequisites for acceptance. Technologically, this paper synthesizes advances in AI-driven flight management, multi-sensor navigation, and high-integrity control systems, including Airbus’s ATTOL and NASA’s ICAROUS, demonstrating that pilotless flight is technically viable but has yet to achieve the airline-grade reliability target of 10⁻⁹ failures per flight hour. Regulatory analysis of FAA, EASA, and ICAO frameworks reveals maturing but fragmented approaches to certifying learning-enabled systems. Ethical and economic evaluations indicate unresolved accountability, job displacement, and liability issues, with potential 10–15% operational cost savings offset by certification, cybersecurity, and infrastructure expenditures. Integrated findings confirm that PPAs represent a socio-technical challenge rather than a purely engineering problem. This study recommends a phased implementation roadmap: (1) initial deployment in cargo and low-risk missions to accumulate safety data; (2) hybrid human–AI flight models combining automation with continuous human supervision; and (3) harmonized international certification standards enabling eventual passenger operations. Policy implications emphasize explainable-AI integration, workforce reskilling, and transparent public engagement to bridge the trust gap. This study concludes that pilotless aviation will not eliminate the human element but redefine it, achieving autonomy through partnership between human judgement and machine precision to sustain aviation’s uncompromising safety culture. Full article

Artificial intelligence has taken a seat at the executive table and is threatening the fact that human beings are the only ones who should be in a position of power. This article gives conjectures on the future of leadership in which managers will collaborate with learning algorithms in the Neural Adaptive Artificial Intelligence Leadership Model, which is informed by the transformational literature on leadership and socio-technical systems, as well as the literature on algorithmic governance. We assessed the model with thirty in-depth interviews, system-level traces of behavior, and a verified survey, and we explored six hypotheses that relate to algorithmic delegation and ethical oversight, as well as human judgment versus machine insight in terms of agility and performance. We discovered that decisions are made quicker, change is more effective, and interaction is more vivid where agile practices and good digital understanding exist, and statistical tests propose that human flexibility and definite governance augment those benefits as well. It is single-industry research that contains self-reported measures, which causes research to be limited to other industries that contain more objective measures. Practitioners are provided with a practical playbook on how to make algorithmic jobs meaningful, introduce moral fail-safes, and build learning feedback to ensure people and machines are kept in line. Socially, the practice is capable of minimizing bias and establishing inclusion by visualizing accountability in the code and practice. Filling the gap between the theory of leadership and the reality of algorithms, the study provides a model of intelligent systems leading in organizations that can be reproduced. Full article

As the global energy transition accelerates, the integration of solar power and artificial intelligence (AI) technologies offers new pathways for sustainable local development. This study examines four Serbian municipalities—Šabac, Sombor, Pirot, and Čačak—to assess how AI-enabled solar power systems can enhance energy resilience, reduce emissions, and support community-level sustainability goals. Using a mixed-method approach combining spatial analysis, predictive modeling, and stakeholder interviews, this research study evaluates the performance and institutional readiness of local governments in terms of implementing intelligent solar infrastructure. Key AI applications included solar potential mapping, demand-side management, and predictive maintenance of photovoltaic (PV) systems. Quantitative results show an improvement >60% in forecasting accuracy, a 64% reduction in system downtime, and a 9.7% increase in energy cost savings. These technical gains were accompanied by positive trends in SDG-aligned indicators, such as improved electricity access and local job creation in the green economy. Despite challenges related to data infrastructure, regulatory gaps, and limited AI literacy, this study finds that institutional coordination and leadership commitment are decisive for successful implementation. The proposed AI–Solar Integration for Local Sustainability (AISILS) framework offers a replicable model for emerging economies. Policy recommendations include investing in foundational digital infrastructure, promoting low-code AI platforms, and aligning AI–solar projects with SDG targets to attract EU and national funding. This study contributes new empirical evidence on the digital–renewable energy nexus in Southeast Europe and underscores the strategic role of AI in accelerating inclusive, data-driven energy transitions at the municipal level. Full article

Background: Digitalisation is becoming increasingly integrated into the field of dentistry; therefore, it is crucial to understand both the challenges it introduces and the opportunities it provides. By doing so, the research will offer insights into how digital tools can affect the work environment and contribute to the overall well-being and performance of dental professionals. Objectives: The present study aims to explore how dentists perceive the demands and resources within a digitalised dental practice. Methods: The present study adopted a qualitative design, incorporating guideline-based interviews. A total of 30 interviews were conducted with dentists from various German dental practices, with a focus on key topics such as job demands, job resources, digital stress factors, job satisfaction, and support needs in the context of digital dentistry. The interview data were analysed using qualitative content analysis. Results: The findings highlight that digital systems in dental practices offer benefits such as reduced errors and time savings, but also pose challenges, especially for less experienced users. While they improve efficiency, precision, and professional development, they can also lead to negative effects like dependence on technology, loss of manual skills, technical failures, and increased stress, particularly during the adaptation phase. These results suggest that successful integration of digital technologies requires adequate support to overcome initial learning curves and ensure long-term benefits. Conclusions: The results of the study underline the importance of effective implementation, comprehensive staff training, and technological reliability to maximise the benefits of digital tools and minimise their drawbacks. Maintaining a balance between digital stressors and resources is crucial to promoting a healthy work environment. Future research should focus on the long-term effects of training programmes and the integration of digital technologies into dental practices to increase their effectiveness in terms of job satisfaction and reduce potential risks. Full article

Computer games have emerged as valuable tools for education and training. In particular, serious games, which combine learning with entertainment, offer unique potential for engaging users and enhancing knowledge acquisition. This paper presents a case study on the design, development, and evaluation of two serious games, “Silent Kingdom” and “Job Interview Simulator”, created using Unreal Engine 5 and incorporating speech emotion recognition (SER) technology. Through a systematic analysis of the existing research in SER and game development, these games were designed to elicit a wide range of emotion responses from player and collect voice data for the enhancement of SER models. By evaluating player engagement, emotional expression, and overall user experience, this study investigates the effectiveness of serious games in collecting speech data and creating more immersive player experiences. The research also explores the technical limitations of SER integration within game environments in real-time, as well as its impact on player enjoyment. Although there are some technology limitations due to the latency provided for real-time SER analysis, the results reveal that a properly developed game with integrated SER technology could become a more engaging and efficient tool for crowdsourcing speech data. Full article

This research critically examines the underlying anxieties surrounding artificial intelligence (AI) that are often concealed in public discourse, particularly in the United Kingdom. Despite an initial reluctance to acknowledge AI-related fears in focus groups, where 86% of participants claimed no significant concerns, further exploration through anonymous surveys and interviews uncovered deep anxieties about AI’s impact on job security, data privacy, and ethical governance. The research employed a mixed-methods approach, incorporating focus groups, a survey of 867 participants, and 53 semi-structured interviews to investigate these anxieties in depth. The study identifies key sources of concern, ranging from the fear of job displacement to the opacity of AI systems, particularly in relation to data handling and the control exerted by corporations and governments. The analysis reveals that anxieties are not evenly distributed across demographics but rather shaped by factors such as age, education, and occupation. These findings point to the necessity of addressing these anxieties to foster trust in AI technologies. This study highlights the need for ethical and transparent AI governance, providing critical insights for policymakers and organisations as they navigate the complex socio-technical landscape that AI presents. Full article

Background/Objectives: An Android platform-based customised app and web-linked system was developed to aid in implementing selected nutrition interventions by community health workers (CHWs) in a community-based cluster randomised trial (c-RCT) in rural Bangladesh. Methods: Here, we describe the architecture of the intervention delivery system, and explore feasibility of employing mHealth as CHWs’ job aid, employing a mixed-method study design covering 17 visits per mother-child dyad. We analysed CHWs’ real-time visit information from monitoring and documentation data, and CHWs’ qualitative interviews to explore the advantages and barriers of using mHealth as a job aid. Results: Intervention coverage was high across the arms (>90%), except around the narrow perinatal period (51%) due to mothers’ cultural practice of moving to their parents’ homes and/or hospitals for childbirth. CHWs mentioned technical and functional advantages of the job aid including device portability, easy navigability of content, pictorial demonstration that improved communication, easy information entry, and automated daily scheduling of tasks. Technical challenges included charging tablets, especially in power cut-prone areas, deteriorated battery capacity over continuous device usage, unstable internet network in unsupportive weather conditions, and device safety. Nevertheless, onsite supervision and monitoring by expert supervisors remained important to ensure intervention quality. Conclusions: With appropriate training and supervision, CHWs utilised the tablet-based app proficiently, attaining high coverage of long-term visits. mHealth was thus useful for designing, planning, scheduling, and delivering nutrition interventions through CHWs, and for monitoring and supervision by supervisors. Therefore, this application and job aid can be adopted or replicated into the currently developing national health systems platform for improving coverage and quality of preventive maternal and child nutrition services. In addition, continuous supportive supervision by skilled supervisors must be accompanied to ensure CHWs’ task quality. Finally, future studies should rigorously assess undesirable health and environmental effects of mHealth before and after mainstreaming, effective interventions addressing device-induced health hazards should be designed and scaled up, and effective e-waste management must be ensured. Full article

This paper presents an innovative use case of virtual reality (VR) for career development and exploration, within the context of the CareProfSys recommendation system for professions. The recommender users receive recommendations not only in textual format but as WebVR gamified scenarios as well, having thus the possibility to try activities specific to the suggested professions and decide whether they are suitable for them or not. This paper describes, from a functional and technical point of view, scenarios for six different jobs: computer network specialists, civil engineers, web and multimedia developers, chemical engineers, project managers, and university professors. Extended experiments were performed, using an internal protocol, with 47 students enrolled in engineering studies. The results of the experiments were measured with the aid of four instruments: two questionnaires, one unstructured interview, and the VR simulation performance recording module. Positive results were obtained: the users admitted that such a tool was useful when choosing one’s career and that it was entertaining. Most of the students considered the VR scenarios as learning or testing experiences, too. Thus, we claim that a VR form of providing job recommendations is more appealing to young people and brings value to career development initiatives. Full article

Recent federal legislation, like the 2021 Infrastructure Investment and Jobs Act and 2022 Inflation Reduction Act, has led to a push for more solar energy on Tribal lands, increasing competition for already limited agricultural land. Agrivoltaics is an innovative technology with the potential to lessen the tradeoffs between agriculture production and solar energy generation. This study investigates the opportunities and barriers for agrivoltaics on Tribal lands through expert qualitative interviews with Tribal agriculture professionals that inform geospatial suitability analysis of physical characteristics. Qualitative results indicate agrivoltaics on Tribal lands could contribute positively to food sovereignty, energy sovereignty, and economic development goals for Tribes; on the other hand, Tribal agriculture professionals have technical, economic, siting, and socioecological concerns that should be addressed through future work. Quantitatively, we find up to 15 million acres of Tribal agricultural land may be feasible for micro-grid agrivoltaics, with 7 million acres in sufficient proximity to existing transmission lines to tie into the grid. The leading states for Tribal agrivoltaics by land area are South Dakota, Montana, and Arizona, each home to Tribes with large land bases and a strong agricultural economy. This work aims to inform Tribal land managers, policymakers, and researchers on the opportunities and barriers for agrivoltaics on Tribal lands. Full article

Workers in the construction industry must endure different weather conditions, long working hours, and engage in repetitive and strenuous jobs with unrealistic deadlines. Sick leaves, caused by accidents and by work-related diseases, are common in the construction industry. Hand–arm vibration from hand-held power tools is a cause of significant ill health (disorders of the blood vessels, nerves, and joints). Self-compacting concrete (SCC) is a fluid concrete and does not need to be vibrated. Despite the health advantages of SCC, its market share in Sweden is lower than in comparable countries. The aim of this article is to describe views, opinions, and knowledge concerning the work environment and health in concrete casting and to identify barriers and facilitators of SCC usage. Semi-structured interviews were conducted with 24 interviewees from the construction industry in Sweden. The answers were analysed from a human–technology–organisation (HTO) perspective in order to identify barriers and facilitators for a broader usage of SCC. The results indicate that knowledge about SCC is low within the Swedish construction industry, including educational institutions; when SCC is chosen, it is chosen exclusively due to its technical characteristics, and not because it eliminates vibrations. Barriers to a broader usage of SCC comprise an incomplete knowledge base, clients who never choose it, recipes that are said to be too demanding, and workplace traditions. Facilitators comprise large companies investing in knowledge development about SCC and engaged persons promoting it. This study used an HTO-based model (BTOH) to identify barriers and facilitators for a broader usage of SCC, thus contributing to a deeper understanding of reasons for the low usage of SCC and ways of increasing it. Full article

Goats are produced in Laos on a small scale and most of them are exported to Vietnam, where they receive a price approximately 30% higher than Vietnamese crossbred goats. In 2021, Laos exported 2.2 million dollars in sheep and goats, mostly to Vietnam (2.19 million dollars). Vietnam was also the fastest-growing export market for sheep and goats of Laos between 2020 and 2021, comprising 66.7% of the total exports. This study aims to analyze the goat value chain from Laos to Vietnam and, based on its characteristics, to suggest policy interventions for the socio-economic sustainable development of the chain. This research analyzes a sample of 400 survey interviews of goat chain actors collected during the second and third quarters of 2022, with the support of CommCare software version 2.53.1. The results show that the Lao goat chain has four main functions implemented by four prominent actors: goat-rearing farmers, traders, abattoir owners, and restaurant owners. However, the role of input suppliers is unclear in this chain. Support to the stakeholders has been provided by local authorities and the government, projects and NGOs, technical supporters, and license supporters. There was not any clear evidence of the goat processing industry. Vertical and horizontal linkages between stakeholders exist, but agreements are primarily oral. There is no declaration of leading actors, and a traceability system has yet to be implemented. The increase in Lao goat exports to the Vietnamese market is driven by the high demand from Vietnamese consumers. The commercialization of goats’ yields provides a positive net income in Lao, where all actors benefit, especially traders and restaurant owners. The chain also creates job opportunities and income that improve living standards, especially for disadvantaged groups, such as women, middle-aged people, people with low literacy, and those living in rural areas. For the sustainable development of the chain, this research recommends that the Lao and Vietnamese governments work together to develop more favorable conditions for goat trading, to improve the traceability across the goat chain, to promote goat husbandry and feeding practices, and to foster goat farmer collaboration by sharing goat-rearing experiences. Full article

The paper explores “life skills” acquired and enhanced during an internship in preparation for the work of the future, identifies challenges faced and gaps between academic preparation and internship requirements, and explores the impact of the COVID 19 pandemic on the internship experiences of Generation Z students. This qualitative study involves cohorts from 2016–2021, including 50 students before the pandemic, and 47 students during the pandemic, majoring in the field of Economy and Business. Data are gathered through 97 semi-structured interviews and written reports from the students. Interestingly, the findings showed that job placement is not the main reason why students pursue an internship; acquiring skills and experience was identified as the major motivating factor. “Communication” was the top enhanced skill from internships in both periods before and during the pandemic, while “relationship building” and “ethical issues” ranked as the second and third most important skills before the pandemic, to be replaced by “critical-thinking and problem-solving” and “analytical and technical” skills during the pandemic. Lack of accountability and COVID-19 stress were reported as the main challenges experienced during internships, while lacking hands-on experience and social skills were identified as gaps. The foremost pieces of advice for future interns revealed in this study are to get involved seriously and show respect and integrity. Full article

Hospitalisation at Home (HaH) is a new model providing hospital-level care at home as a substitute for traditional care. Biometric monitoring and digital communication are crucial, but little is known about user perspectives. We aim to explore how in-patients with severe COVID-19 infection and clinicians engage with and experience communication and self-monitoring activities following the HaH model. A qualitative study based on semi-structured interviews of patients and clinicians participating in the early development phase of HaH were conducted. We interviewed eight clinicians and six patients. Five themes emerged from clinicians: (1) staff fear and concerns, (2) workflow, (3) virtual closeness, (4) patient relatives, and (5) future HaH models; four themes emerged from patients: (1) transition to home, (2) joint responsibility, (3) acceptability of technologies, and (4) relatives. Despite technical problems, both patients and clinicians were enthusiastic about the conceptual HaH idea. If appropriately introduced, treatment based on self-monitoring and remote communication was perceived acceptable for the patients; however, obtaining vitals at night was an overwhelming challenge. HaH is generally acceptable, perceived patient-centred, influencing routine clinical workflow, role and job satisfaction. Therefore, it calls for educational programs including more perspective than issues related to technical devices. Full article

While tobacco use within the military is often discussed as being homogenously part of U.S. military culture, literature from civilian populations highlights that tobacco use varies by career field (e.g., “white collar” vs. “blue collar”). The objective of this qualitative study was to compare tobacco use by career fields in the U.S. Air Force. Airmen, Military Training Instructors, and Technical Training Instructors participated in 22 focus groups across five major Air Force Technical Training bases. Focus groups were conducted in-person using semi-structured interview guides and were audio-recorded. A conventional content-coding approach was used to code transcripts. Participants described substantial variation across the careers, which was attributed to social norms and the nature of jobs. Individuals in careers that spend most of their time outside were more likely to permit tobacco use. Conversely, tobacco use was seen as stigmatized in medical fields. Additionally, smokeless tobacco was identified as popular in certain careers because it could be used covertly on the job. Findings suggest that a one-size-fits-all approach to reducing tobacco use through policies and programs may not reflect the realities of military tobacco use. These findings may provide insights into other branches of the U.S. military with similar career fields. Full article