Teaching and learning in nursing, Год журнала: 2024, Номер 19(3), С. e557 - e565
Опубликована: Апрель 22, 2024
Язык: Английский
MethodsX, Год журнала: 2022, Номер 9, С. 101808 - 101808
Опубликована: Янв. 1, 2022
The paper introduces Bayesian Mindsponge Framework (BMF) analytics, a new analytical tool for investigating socio, psychological, and behavioral phenomena. strengths of this method derive from the combination mindsponge mechanism's conceptual formulation power analysis's inferential advantages. BMF-based research procedure includes six main steps, in which mindsponge-based conceptualization model construction is key step that makes unique. Therefore, we elaborate on fundamental components functions mechanism summarize them into five memorable principles so other researchers can capitalize directly. An exemplary analysis was performed using dataset 3071 Vietnamese entrepreneurs' decisiveness perceptions likelihood success/continuity to validate method.•
Язык: Английский
Процитировано
255
International Journal of Human-Computer Interaction, Год журнала: 2022, Номер 40(2), С. 497 - 514
Опубликована: Дек. 7, 2022
The present study adapted the General Attitudes toward Artificial Intelligence Scale (GAAIS) to Turkish and investigated impact of personality traits, artificial intelligence anxiety, demographics on attitudes intelligence. sample consisted 259 female (74%) 91 male (26%) individuals aged between 18 51 (Mean = 24.23). Measures taken were demographics, Ten-Item Personality Inventory, Anxiety Scale, Scale. GAAIS had good validity reliability. Hierarchical Multiple Linear Regression Analyses showed that positive significantly predicted by level computer use (β 0.139, p 0.013), knowledge about 0.119, 0.029), AI learning anxiety −0.172, 0.004). Negative agreeableness 0.120, 0.019), configuration −0.379, < 0.001), −0.211, 0.001). play important roles in AI. Results are discussed light previous research theoretical explanations.
Язык: Английский
Процитировано
182
Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)
Опубликована: Июнь 9, 2023
Abstract This study examines the impact of artificial intelligence (AI) on loss in decision-making, laziness, and privacy concerns among university students Pakistan China. Like other sectors, education also adopts AI technologies to address modern-day challenges. investment will grow USD 253.82 million from 2021 2025. However, worryingly, researchers institutions across globe are praising positive role but ignoring its concerns. is based qualitative methodology using PLS-Smart for data analysis. Primary was collected 285 different universities The purposive Sampling technique used draw sample population. analysis findings show that significantly impacts human decision-making makes humans lazy. It security privacy. 68.9% laziness humans, 68.6% personal issues, 27.7% due Pakistani Chinese society. From this, it observed most affected area AI. this argues significant preventive measures necessary before implementing technology education. Accepting without addressing major would be like summoning devils. Concentrating justified designing deploying recommended issue.
Язык: Английский
Процитировано
138
Heliyon, Год журнала: 2023, Номер 9(10), С. e20356 - e20356
Опубликована: Сен. 20, 2023
Emotional intelligence (EI) has been widely researched in different fields of knowledge. This paper reviews the literature on emotional intelligence, leadership, and teams 104 peer-reviewed articles provided by Web Science Scopus databases from 1998 to 2022. It is a hybrid or mixed review as it uses both quantitative qualitative analysis techniques. The aims this study are performance selected documents (years publication, country, sectors, techniques used, most cited authors, authors with more publications, journals, journal quartiles, scope publication), well co-word using Atlas. ti v8. results indicate that majority empirical works. providing following results: (i) classification major themes-categories (EI, team), (ii) themes within each theme: 3 subcategories EI, 17 19 team and, lastly, (iii) according chronological development main objectives authors' we analyzed. Leadership (transformational, emergence, virtual, effective, health, effectiveness) theme studied. Our in-depth shown emotionally intelligent leaders improve behaviors business have an impact work performance. also highlighted positive relationship between competence members' attitudes about work. new trends focus impacts COVID19, global crisis due Ukraine War, working VUCA BANI environments, comparative studies generations, application artificial influence mindfulness organizations.
Язык: Английский
Процитировано
42
Technology in Society, Год журнала: 2024, Номер 77, С. 102537 - 102537
Опубликована: Март 29, 2024
Язык: Английский
Процитировано
42
Technology in Society, Год журнала: 2022, Номер 72, С. 102166 - 102166
Опубликована: Ноя. 19, 2022
Язык: Английский
Процитировано
38
AI & Society, Год журнала: 2023, Номер 39(4), С. 1883 - 1889
Опубликована: Фев. 7, 2023
Язык: Английский
Процитировано
33
MethodsX, Год журнала: 2023, Номер 10, С. 102149 - 102149
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
33
Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)
Опубликована: Июль 19, 2023
Abstract The rise of emotional AI signals a new era in human-machine relations where intelligent machines not only feel but also feed on human emotions as statistical fodder with the goal reshaping our behavior. Unlike many smart technologies, emotion-recognition systems sense, monitor, harvest and analyze data extracted from person’s non-conscious or psycho-physical state, often without their knowledge consent. As far more invasive manner surveillance capitalism, technological adoption is problematized by myriad legal, ethical, cultural, scientific issues. To better understand behavioral factors determining an individual’s attitude towards this emerging technology, we first identify five major tensions that may impinge adoption. Second, extend Technological Acceptance Model (TAM) (Davis, 1989) model insights mindsponge information filtering (Vuong Napier, 2015) along quantitative affordances offered Bayesian computational approach. Our analysis was conducted based multi-national dataset surveying perceptions 1015 young adults (age 18–27) regarding applications socio-cultural characteristics such income, region, religiosity, home country politics. These are fed into multi-level models varying intercepts so can systematically measure compare effects various determinants attitudes respondents harvesting government private sector actors. Critically, study finds who familiar with, perceive utilities well rate themselves restrained heated arguments social media, less threatened practice both findings offer fertile platform for further exploration intersection between psychology, culture, technologies important policymakers wishing to ensure design regulation technology serve best interests society.
Язык: Английский
Процитировано
32
International Journal of Medical Informatics, Год журнала: 2023, Номер 175, С. 105073 - 105073
Опубликована: Апрель 25, 2023
Язык: Английский
Процитировано
28