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Abstract: Seksizem predstavlja stališča, prepričanja in vedenja, ki odražajo neenak položaj žensk in moških. Kaže se v dobronamerni ali sovražni obliki, kar pomeni, da ne predstavlja klasične oblike predsodkov, ki temelji le na negativnem dojemanju druge skupine. Namen magistrskega dela je bil raziskati pojavnost in dejavnike seksističnih prepričanj pri slovenskih srednješolcih ter ustvariti enkratno igrificirano delavnico, ki bi omogočila nižanje seksističnih prepričanj pri teh. V študijo je bilo vključenih 256 srednješolcev, od tega 58,5 % fantov. Med enkratnim srečanjem so udeleženci rešili dva sklopa vprašalnikov, testna skupina pa je bila deležna igrificirane delavnice na temo spolne enakosti. Udeleženci so odgovarjali na demografska vprašanja (spol, letnik šolanja, politična orientacija, religioznost), Vprašalnik ambivalentnega seksizma, Vprašalnik ambivalentnosti do moških, prilagojeno Lestvico družinskih vrednot in Lestvico podpore učiteljev, prav tako pa so ocenili seksizem pri najboljšem prijatelju, svoje prihodnje namere in izvedeno delavnico. Za analizo rezultatov smo uporabili T-test za neodvisne vzorce, mešano ANOVO, korelacijske, regresijske in moderatorske analize. Ugotovili smo, da so med slovenskimi srednješolci prisotne vse štiri oblike seksizma, torej dobronamerni in sovražni seksizem do žensk ter dobronamerni in sovražni seksizem do moških. Kot pomembna dejavnika razširjenosti seksističnih prepričanj izstopata spol in družinske norme, medtem ko se letnik šolanja ter zaznava seksizma pri najboljšem prijatelju nista izkazala kot bistvena. Ob evalvaciji igrificirane delavnice smo ugotovili, da je prišlo do znižanja seksističnih prepričanj tako v testni kot kontrolni skupini v primeru vseh oblik seksizma, z izjemo sovražnega seksizma do moških. Udeleženci v testni skupini so, v primerjavi s kontrolno skupino, v večji meri ocenjevali, da želijo z vrstniki in s šolskim osebjem govoriti o problematiki seksizma ter da želijo poiskati dodatne informacije o tej. Dodaten vpogled v spremembo seksističnih prepričanj so nam omogočile moderatorske analize, ki so pokazale, da so družinske norme in zaznava seksizma pri najboljšem prijatelju statistično pomemben moderator odnosa med skupino (testna ali kontrolna) ter znižanjem dobronamernega seksizma do moških. Dodatno sta spol in religioznost statistično pomembna moderatorja odnosa med skupino in znižanjem sovražnega seksizma do moških. Medtem politična orientacija predstavlja moderator odnosa med skupino in znižanjem dobronamernega seksizma do žensk ter zaznava seksizma pri najboljšem prijatelju med skupino in znižanjem sovražnega seksizma do žensk. Dodaten vidik evalvacije delavnice je predstavljala ocena delavnice udeležencev, ki pa se ni statistično pomembno povezovala z znižanjem seksističnih prepričanj. V diskusiji iščemo razlage za dobljene rezultate in jih interpretiramo v oziru do zastavljenih hipotez. Na koncu osvetlimo še pomanjkljivosti raziskave, ideje za prihodnje raziskave in uporabno vrednost.
Keywords: seksistična prepričanja, razširjenost, demografski dejavniki, družinske norme, opora učiteljev, vrstniški vpliv, delavnica, igrifikacija
Published in DKUM: 16.09.2025; Views: 0; Downloads: 45
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Abstract: Psychological studies on close relationships have often overlooked cultural diversity, dynamic processes, and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences, mate preferences, and physical attractiveness, we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021, involving 117,293 participants from 175 countries. Aside from standard demographic questions, the survey included valuable information on variables relevant to romantic relationships: intimate, passionate, and committed love within romantic relationships, physical-attractiveness enhancing behaviors, gender equality endorsement, collectivistic attitudes, personal history of pathogenic diseases, relationship quality, jealousy, personal involvement in sexual and/or emotional infidelity, relational mobility, mate preferences, and acceptance of sugar relationships. The resulting dataset provides a rich resource for investigating patterns within, and associations across, a broad range of variables relevant to romantic relationships, with extensive opportunities to analyze individual experiences worldwide.
Keywords: cross-cultural data, romantic love, mate preferences
Published in DKUM: 27.08.2025; Views: 0; Downloads: 7
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Abstract: Aims and Objective: The aim of this study was to explore the feasibility, usability and acceptance of integrating Clinical Decision Support Systems with Socially Assistive Robots into hospital grand rounds. Background: Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. Making Clinical Decision Support System simple, intuitive and user-friendly is essential to enable its use in daily practice to improve patient care and decision-making. Methods: This six-month pilot study had two participant groups, with total of 40 participants: a longitudinal intervention group (n =8) and a single-session evaluation group (n=32). Participants were medical doctors at the University Clinical Center Maribor. The intervention involved implementing a Clinical Decision Support System delivered via a Socially Assistive Robot during hospital grand rounds. We developed a system that employed the HL7 FHIR standard for integrating data from hospital monitors, electronic health records, and patient-reported outcomes into a single dashboard. A Pepper-based SAR provided patient specific recommendations through a voice and SAR tablet enabled interface. Key evaluation metrics were assessed using the System Usability Scale (SUS) and the Unified Theory of Acceptance, Use of Technology (UTAUT2) questionnaire, including Effort Expectancy, Performance Expectancy and open ended questions. The longitudinal group used the system for 6 months and completed the assessments twice, after one week and at the end of the study. The single-session group completed the assessment once, immediately after the experiment. Qualitative data were gathered through open-ended questions. Data analysis included descriptive statistics, paired t-tests, and thematic analysis. Results: System usability was rated highly across both groups, with the longitudinal group reporting consistently excellent scores (M =82.08 at final evaluation) compared to the acceptable scores of the single-session group (M =68.96). Extended exposure improved user engagement, reflected in significant increases in Effort Expectancy and Habit over time. Participants found the system enjoyable to use, and while no significant changes were seen in Performance Expectancy, feedback emphasized its efficiency in saving time and improving access to clinical data, supporting its feasibility and acceptability. Conclusions: This research supports the potential of robotic technologies to transform CDSS into more interactive, efficient, and user-friendly tools for healthcare professionals. The paper also suggests further research directions and technical improvements to maximize the impact of innovative technologies in healthcare.
Keywords: clinical decision support systems, clinical decision-making, hospital grand rounds, patient data integration, perceived quality of care, socially assistive robots, usability and familiarity, user experience questionnaire, workload reduction
Published in DKUM: 30.05.2025; Views: 0; Downloads: 3
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Abstract: This study investigates the perceptions of Persona descriptions generated using three different large language models (LLMs) and qualitatively developed Personas by an expert panel involved in obesity research. Six different Personas were defined, three from the clinical domain and three from the educational domain. The descriptions of Personas were generated using qualitative methods and the LLMs (i.e., Bard, Llama, and ChatGPT). The perception of the developed Personas was evaluated by experts in the respective fields. The results show that, in general, the perception of Personas did not significantly differ between those generated using LLMs and those qualitatively developed by human experts. This indicates that LLMs have the potential to generate a consistent and valid representation of human stakeholders. The LLM-generated Personas were perceived as believable, relatable, and informative. However, post-hoc comparisons revealed some differences, with descriptions generated using the Bard model being in several Persona descriptions that were evaluated most favorably in terms of empathy, likability, and clarity. This study contributes to the understanding of the potential and challenges of LLM-generated Personas. Although the study focuses on obesity research, it highlights the importance of considering the specific context and the potential issues that researchers should be aware of when using generative AI for generating Personas.
Keywords: user personas, obesity, large language models, value sensitive design, digital health interventions
Published in DKUM: 14.02.2025; Views: 0; Downloads: 12
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Abstract: Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. Methods: The Living Lab approach was implemented to split the study into sprints. The first split involves working with project partners and stakeholders to define the problem, brainstorm functionalities, and identify limitations (24 participants). The second split focuses on further requirement gathering, exploring real-world use cases, and considering ethical and privacy concerns (51 participants). Results: The project used iterative development cycles (5-8 months) to continuously improve the solution. Surveys revealed high satisfaction rates, with average scores of 4.0 and 3.6 for Sprints 1 and 2, respectively. Similarly, a team morale survey indicated a positive trend, with average scores of 7.6 and 8.18 for Sprints 1 and 2, respectively. Conclusion: Pilot 5 offers a promising solution to the evolving needs of modern hospitals. This study explores the integration of a social robotic system into nursing care to enhance quality and emphasizes stakeholder engagement, participatory design, and user-centered approaches in AI healthcare solutions.
Keywords: co-creation, stakeholder engagement, socially assistive humanoid robots, living lab, hospital care
Published in DKUM: 03.02.2025; Views: 0; Downloads: 8
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