Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: Sept. 27, 2024
Language: Английский
Humanities and Social Sciences Communications, Journal Year: 2023, Volume and Issue: 10(1)
Published: July 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.
Language: Английский
Citations
32
International Journal of Information Management, Journal Year: 2023, Volume and Issue: 75, P. 102745 - 102745
Published: Dec. 27, 2023
Language: Английский
Citations
17
Future Transportation, Journal Year: 2024, Volume and Issue: 4(2), P. 349 - 379
Published: April 9, 2024
Artificial intelligence is developing at a rapid pace, with examples of machine learning already being used in aviation to improve efficiency. In the coming decade, it likely that intelligent assistants (IAs) will be deployed assist personnel cockpit, air traffic control center, and airports. This game-changer may herald way forward for single-pilot operations AI-based management. Yet there core underlying tenet ‘people create safety’ keep skies passengers safe, based on robust industry-wide safety culture. Introducing IAs into might therefore undermine aviation’s hard-won track record this area. Three experts culture human-AI teaming validated tool explore potential impacts introducing aviation. The results suggest are indeed negative outcomes, but also possible affordances wherein AI could strengthen Safeguards mitigations suggested key risk owners organizations, from CEOs middle managers, departments frontline staff. Such safeguards help ensure remains priority across industry.
Language: Английский
Citations
6
Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 28, 2024
Language: Английский
Citations
6
Computers & Education X Reality, Journal Year: 2023, Volume and Issue: 2, P. 100028 - 100028
Published: Jan. 1, 2023
The research interest in the use of augmented reality smart glasses (ARSGs) has increased dramatically recent years as they are utilised many fields such medicine and industry, well everyday life. This study aims to review empirical activity concerning acceptance ARSGs all applicable fields. In total, 21 studies published from 2015 2022 have been reviewed. Their relative field, theoretical framework, methodological design, factors that were found affect or recorded. It was focuses more on users acting consumers than professionals (e.g., doctors, teachers, athletes) using them a specific field. Also, majority base their framework either entirely part Technology Acceptance Model (TAM). Moreover, models these extend TAM by various additional variables, privacy risk external influence. Methodologically speaking, most follow quantitative approach, without giving participants opportunity interact with glasses. addition, which influence varied can be categorised utilitarian, social, personal, risk-related, technological. adds value theory technology acceptance. is because it one first address ARSGs. Since there no model for ARSGs, findings this could lead researchers propose accepting fields, education.
Language: Английский
Citations
13
Journal of Information Systems Engineering & Management, Journal Year: 2023, Volume and Issue: 8(2), P. 23646 - 23646
Published: Oct. 28, 2023
This study investigates the transformative impact of AI-based Decision Support Systems (DSS) and Big Data Analytics (BDA) on student innovation employability skills in an era rapid technological advancement, with a focus mediating role acceptance moderating resource availability. study, which draws wide range educational contexts data sources, gives complete knowledge complex links between technology adoption, results, contextual factors. The results this show how DSS BDA have significant musical education. These advancements enable tailored instruction foster students' creative thinking. In order to prepare students for work market that is rapidly changing, they act as catalyst improving skills. however, emphasizes complicated dynamics at work. Technological Acceptance emerges major component, underlining significance instructors freely effectively accepting tools. Furthermore, factor, Resource Availability takes center stage, emphasizing need equitable access resources ensure technology-driven advantages are accessible all. broad repercussions. adoption AI by institutions encouraged technologies enhancing learning process. Policymakers must create regulations support equal promote innovative culture classroom. highlights important it adopt new technologies, realizing determining both their academic career paths.
Language: Английский
Citations
13
Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36251 - e36251
Published: Aug. 1, 2024
Emotional artificial intelligence (AI), i.e., affective computing technologies, is rapidly reshaping the education of young minds worldwide. In Japan, government and commercial stakeholders are promulgating emotional AI not only as a neoliberal, cost-saving benefit but also heuristic that can improve learning experience at home in classroom. Nevertheless, critics warn myriad risks harms posed by technology such privacy violation, unresolved deeper cultural systemic issues,
Language: Английский
Citations
5
Indian Journal of Medical Ethics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 4, 2025
Artificial intelligence (AI) has revolutionised medicine, particularly radiology, transforming our ability to interpret complex imaging data. While traditional methods rely on subjective visual assessments, AI excels at recognising intricate patterns and providing quantitative automated evaluations. In this commentary, I delve into the various ethical considerations in algorithmic beyond conventional concerns. Focusing utilitarianism, patient understanding, virtue ethics, social contract theory, paper contributes a comprehensive understanding of landscape surrounding technologies. The challenges use radiology underscore significance ethics care, responsiveness context, role human emotion, whether pertaining practitioner, patient, or both. theory guides responsibilities healthcare professionals, urging action address biases algorithms ensuring equitable representation ethnic racial populations. Diversity data must be prioritised avoid disparities administering uphold rights adoption AI. terms professionalism responsibility are crucial for radiologists adopting Also, an absence explicit guidelines poses challenges, necessitating further discourse. Finally, utilitarian perspective public health mandates fair distribution technologies prevalent issues given population. conclusion, advocates approach integration, which aligns technology with values wellbeing, as we shape future healthcare.
Language: Английский
Citations
0
Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7
Published: Jan. 27, 2025
Background The growth of the use artificial intelligence (AI) and robotic solutions in healthcare is accompanied by high expectations for improved efficiency quality services. However, such technologies can be a source anxiety patients whose experiences with technology differ from medical staff's. This study assessed attitudes toward AI robots delivering health services performing various tasks medicine related fields Polish society. Methods 50 semistructured in-depth interviews were conducted participants diversified socio-demographic profiles. interviewees initially recruited convenience sample; then, process was continued using snowballing technique. transcribed analyzed MAXQDA Analytics Pro 2022 program (release 22.7.0). An interpretative approach to qualitative content analysis applied responses research questions. Results yielded three main themes: positive negative perceptions ontological concerns about AI, which went beyond objections usefulness technology. Positive associated overall higher trust technology, need adequately respond demographic challenges, conviction that lower workload personnel. Negative originated convictions regarding unreliability lack proper technological political control over AI; an equally important topic inability entities feel express emotions. third theme potential interaction machines equipped human-like traits insecurity. Conclusions showed patients' vary according their recognition urgent problems (staff workload, time diagnosis), beliefs reliability functioning new technologies. Emotional contact looking or like humans are also respondents' attitudes.
Language: Английский
Citations
0
Asia Pacific Journal of Marketing and Logistics, Journal Year: 2025, Volume and Issue: unknown
Published: March 10, 2025
Purpose This study aims to model the purchase intention of virtual reality hardware using cognition-affect-conation (CAC) model, which integrates psychology and consumer behavior research explain how individuals' thoughts, emotions intentions influence their behaviors. Design/methodology/approach Data were collected from individuals aged 18 above who had no prior experience with hardware. A total 330 valid responses obtained residing in Malaysia analyzed partial least squares (PLS) approach. Findings The validates that vividness, perceived ease use, usefulness, enjoyment utilitarian value have a positive impact on attitude. Vividness, significant relationship satisfaction, while usefulness values negative satisfaction. Furthermore, underscores correlation between attitude is confirmed. Lastly, moderating effect individualism satisfaction towards Practical implications findings provide valuable guidance for designers marketers, offering effective strategies enhance brand promotion, user retention sales through skillful integration Originality/value enhances understanding acceptance regarding by incorporating affective aspects into cognitive factors including as factor. It addresses an important gap landscape immersive industry, particularly concerning within Malaysian context.
Language: Английский
Citations
0