Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations

Information Processing & Management, Journal Year: 2023, Volume and Issue: 60(5), P. 103444 - 103444

Published: July 6, 2023

Language: Английский

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Grading by AI makes me feel fairer? How different evaluators affect college students’ perception of fairness

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: Feb. 2, 2024

Introduction In the field of education, new technologies have enhanced objectivity and scientificity educational evaluation. However, concerns been raised about fairness evaluators, such as artificial intelligence (AI) algorithms. This study aimed to assess college students’ perceptions in evaluation scenarios through three studies using experimental vignettes. Methods Three were conducted involving 172 participants Study 1, 149 2, 145 3. Different contexts used each influence evaluators on perception fairness. Information transparency explanations for outcomes also examined potential moderators. Results 1 found that different could significantly under contexts. Students perceived AI algorithms fairer than teachers. 2 revealed information was a mediator, indicating students higher with due increased compared 3 explanation moderated effect evaluator Specifically, when provided results, lessened. Discussion emphasizes importance comprehensive process, which is more crucial solely focusing type evaluators. It draws attention risks like algorithmic hegemony advocates ethical considerations, including privacy regulations, integrating into systems. Overall, this provides valuable theoretical insights practical guidance conducting evaluations era technologies.

Language: Английский

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Consumer reactions to technology in retail: choice uncertainty and reduced perceived control in decisions assisted by recommendation agents

Electronic Commerce Research, Journal Year: 2024, Volume and Issue: 24(2), P. 901 - 923

Published: Feb. 12, 2024

Abstract The emergence of artificial intelligence technologies, such as recommendation agents, presents new challenges and opportunities for marketing. Recommendation agents assist consumers in their online grocery shopping decisions by analyzing data on preferences behaviors. This research highlights that while can reduce choice overload make purchase easier consumers, they are also associated with higher uncertainty decision-making. Three experimental studies confirmed purchases aided perceived more uncertain reduced perceptions control over the choices explain this outcome. Furthermore, lower satisfaction intentions consequences uncertainty. Personal characteristics risk aversion maximization tendencies considered boundary conditions these effects.

Language: Английский

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Technology distraction in Generation Z: The effects on consumer responses, sensory overload, and discomfort

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 75, P. 102751 - 102751

Published: Jan. 9, 2024

Language: Английский

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Toward an Islamic Education Administration System: A Critical Contribution from Technology Adoption

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 309 - 323

Published: Oct. 22, 2024

Language: Английский

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Effective factors for the adoption of IoT applications in nursing care: A theoretical framework for smart healthcare

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 89, P. 109012 - 109012

Published: March 22, 2024

Language: Английский

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Factors Influencing the Adoption of Generative AI for Art Designing Among Chinese Generation Z: A Structural Equation Modeling Approach

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 143272 - 143284

Published: Jan. 1, 2023

The integration of generative artificial intelligence (GenAI) technology in the realm art and design has demonstrated significant positive effects on designers related industries. current study aimed to explore evaluate factors personal traits that drive Generation Z embrace GenAI-assisted design. model incorporated derived from Unified Theory Acceptance Use Technology 2 (UTAUT2), Readiness Index, concept trait curiosity. Empirical validation was conducted using data collected 326 participants southeast Chinese Mainland. results structural equation modeling indicated that: (1) Factors such as effort expectancy, price value, hedonic motivation UTAUT2 have a influence intention use GenAI, while performance expectancy does not show statistically effect. (2) Both optimism creativity significantly contribute motivation. (3) Trait curiosity impact both GenAI. research findings suggest need for further improvements construction operational strategies GenAI platforms provide practical insights enhancing Z's utilize platforms.

Language: Английский

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One Digital Health Intervention for Monitoring Human and Animal Welfare in Smart Cities: Viewpoint and Use Case

JMIR Medical Informatics, Journal Year: 2023, Volume and Issue: 11, P. e43871 - e43871

Published: April 18, 2023

Smart cities and digital public health are closely related. Managing transformation in urbanization living spaces is challenging. It critical to prioritize the emotional physical well-being of humans their animals dynamic ever-changing environment they share. Human-animal bonds continuous as live together or share urban have a mutual impact on each other's well surrounding environment. In addition, sensors embedded Internet Things everywhere smart cities. They monitor events provide appropriate responses. this regard, accident emergency informatics (A&EI) offers tools identify manage overtime hazards disruptive events. Such manifold focuses fit with One Digital Health (ODH), which aims transform ecosystems technology by proposing comprehensive framework data support health-oriented policies. We showed discussed how, developing concept ODH intervention, can monitoring analysis daily life technologically integrated environments such homes developed an intervention use case A&EI mechanisms run background. The structures related collection enhance understanding human, animal, interactions associated outcomes. looks at journey Tracy, healthy woman aged 27 years, her dog Mego. Using medical Things, activities continuously monitored analyzed prevent any kind health-related abnormality. reported commented example real-life implementation. gave reader examples "how-to" Tracy Mego's part timely implementation framework. For activity, relationships dimensions were scored, relevant technical fields evaluated light Findable, Accessible, Interoperable, Reusable principles. This be used template for further analyses. An based real-time processing global monitoring, management, research. should collected spatial-temporal domain detect changes behavior, trends, emergencies. information periodically gathered serve environmental interventions providing professionals caregivers inputs "how-to's" improve health, welfare, risk prevention individual population levels. Thus, complementarily combined meant policies systems modernize management.

Language: Английский

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Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102466 - 102466

Published: Jan. 24, 2024

Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is promising option provide helpful analyses online business meetings, but might perceived as scary are sensitive topic. However, employees' acceptance such type software not understood properly yet there no offers on the market yet. To investigate potential users' intentions, we conducted survey 2021 well 2023 with data 470 employees Germany regard novel analyzing group level meetings. We argue that decision bases balancing different pros and cons sticking an existing behavior or using software. A partial least squares (PLS) approach structural equation modeling (SEM) was used test study's hypotheses. Our results show attitude, norms, efficacy threats significant predictors intention accept At same time, privacy concerns were only reason reject This paper contributes better understanding why willing use

Language: Английский

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Emotional AI in education and toys: Investigating moral risk awareness in the acceptance of AI technologies from a cross-sectional survey of the Japanese population

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

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