Article
Hospitality, Leisure, Sport & Tourism
Darina Vorobeva, Diego Costa Pinto, Nuno Antonio, Anna S. Mattila
Summary: This article investigates how customers respond to AI replacement and how providers can mitigate AI aversion. The findings reveal that framing AI as augmentation (vs. substitution) can increase customer acceptance. This research has important theoretical and managerial implications for the tourism and hospitality industry.
CURRENT ISSUES IN TOURISM
(2023)
Article
Computer Science, Artificial Intelligence
Fernando Martinez-Plumed, Pablo Barredo, Sean O. Heigeartaigh, Jose Hernandez-Orallo
Summary: Experimental benchmarks like ImageNet and Atari games are crucial for advancing AI research. An analysis of results and papers linked to 25 popular benchmarks reveals that competition and collaboration dynamics in AI research are still not well understood. The study provides an innovative methodology to explore the behavior of different entrants in challenges, from academia to tech giants, in response to achievements.
NATURE MACHINE INTELLIGENCE
(2021)
Article
Hospitality, Leisure, Sport & Tourism
IpKin Anthony Wong, Tingting Zhang, Zhiwei (CJ) Lin, Qing Peng
Summary: This research applies the AI device usage acceptance (AIDUA) model and cognitive appraisal theory to analyze the relationship between social influence, hedonic motivation, anthropomorphism, and acceptance or objection to AI device usage in smart hotels. Performance expectancy, effort expectancy, and customer emotion mediate this relationship. The study also explores the moderating role of employee presence and emphasizes the importance of human staff in smart service encounters. However, the presence of employees may hinder low performance and high effort expectancies. This research provides insights into the role of employees and technology in delivering intended emotional valence.
JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT
(2023)
Editorial Material
Biochemistry & Molecular Biology
Zachi I. Attia, Paul A. Friedman
Summary: By applying artificial intelligence to electrocardiograms recorded by patients using Apple watches, we conducted a prospective, digital, remote study to enable large-scale screening for left ventricular dysfunction, a serious and under-detected cardiac disease. The study found that patients engaged with the system and that the watch electrocardiograms effectively screened for the disease.
Article
Computer Science, Artificial Intelligence
Kerstin N. Vokinger, Urs Gasser
Summary: Regulatory frameworks for artificial intelligence are being developed on both sides of the Atlantic, eagerly anticipated by the scientific and industrial community. Commonalities and differences in approaches to AI in medicine are beginning to emerge.
NATURE MACHINE INTELLIGENCE
(2021)
Article
Environmental Sciences
Victor O. K. Li, Jacqueline C. K. Lam, Jiahuan Cui
Summary: This article discusses the role and challenges of AI and big data technologies in environmental decision-making, raises a series of important questions, and summarizes the significance and innovation of the articles included in the special issue. It also highlights the important principles of AI for social good.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Computer Science, Artificial Intelligence
Pat Pataranutaporn, Ruby Liu, Ed Finn, Pattie Maes
Summary: This study explores how changes in a person's mental model of an AI system affect their interaction with the system. It shows that perceiving a caring motive for the AI leads to a perception of greater trustworthiness, empathy, and performance. Initial mental models and priming have a stronger effect on more sophisticated AI models. The research also suggests a feedback loop between users and AI that reinforces the user's mental model over time. Further investigation is needed to understand the long-term effects.
NATURE MACHINE INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Weiwei Huo, Xinze Yuan, Xianmiao Li, Wenhao Luo, Jiaying Xie, Bowen Shi
Summary: This study investigates the influence of medical staff participation on the acceptance of medical artificial intelligence (AI), and examines the moderating effect of speciesism. The results show that medical staff participation significantly affects the acceptance of medical AI, and AI self-efficacy and AI anxiety mediate this relationship. The study also finds that speciesism has a significant moderating effect.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Environmental Sciences
Francesca Larosa, Sergio Hoyas, Javier Garcia-Martinez, J. Alberto Conejero, Francesco Fuso Nerini, Ricardo Vinuesa
Summary: Large language models provide an opportunity to advance climate and sustainability research. We believe that regulating and validating generative artificial intelligence models would benefit society more than stopping development.
NATURE CLIMATE CHANGE
(2023)
Review
Engineering, Industrial
Joseph Amankwah-Amoah, Yingfa Lu
Summary: This article examines the barriers and enablers for developing and scaling-up AI-enabling technologies in Africa. The study proposes an integrated conceptual model to illustrate the range of drivers, both internal and external, that influence the development of AI. The barriers identified include institutional dysfunction, poor infrastructure, lack of skilled experts, and limited access to technology.
PRODUCTION PLANNING & CONTROL
(2022)
Editorial Material
Biochemistry & Molecular Biology
Eric Wu, Kevin Wu, Roxana Daneshjou, David Ouyang, Daniel E. Ho, James Zou
Summary: A comprehensive overview of medical AI devices approved by the US Food and Drug Administration sheds light on limitations of the evaluation process that may mask vulnerabilities of devices when deployed on patients.
Editorial Material
Health Care Sciences & Services
Mirja Mittermaier, Marium M. Raza, Joseph C. Kvedar
Summary: Artificial intelligence is increasingly used in healthcare, particularly in surgery. While it holds promise in predicting outcomes and guiding surgeons, AI systems can also be biased, exacerbating existing inequalities. This impacts disadvantaged populations, who may receive less accurate algorithmic predictions or underestimate their need for care. Detecting and mitigating bias is crucial for creating fair and generalizable AI technology. This article discusses a recent study that developed a new strategy to address bias in surgical AI systems.
NPJ DIGITAL MEDICINE
(2023)
Article
Social Issues
Joon Soo Lim, Jun Zhang
Summary: This research demonstrates the usefulness of integrating the technology acceptance model (TAM) and the perceived contingency model in predicting users' adoption of AI-driven personalization in digital news platforms. The study conducted an online survey with 1369 US adults to examine the relationships. The findings highlight the significant role of perceived contingency and the continued importance of TAM variables in predicting adoption behavior.
TECHNOLOGY IN SOCIETY
(2022)
Editorial Material
Computer Science, Artificial Intelligence
Piero P. P. Bonissone, Alessandro Liani
Summary: IEEE CAI 2023 is the first conference with an industry focus, covering six verticals including Industrial AI, AI in Healthcare/Life Science, Transportation/Aerospace, Energy, Earth System Decision Support, and Social Implications of AI/Privacy.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2023)
Article
Education & Educational Research
Jawaher Hamad Al Shamsi, Mostafa Al-Emran, Khaled Shaalan
Summary: This research examines the motivations behind students' use of AI-based voice assistants for educational purposes. The results suggest that enjoyment, trust, and perceived ease of use have an impact on the perceived usefulness of voice assistants. Additionally, facilitating conditions and trust in technology strongly influence the perceived ease of use. However, subjective norm, facilitating conditions, and security do not affect perceived usefulness, and subjective norm and enjoyment do not affect perceived ease of use.
EDUCATION AND INFORMATION TECHNOLOGIES
(2022)
Article
Psychology, Multidisciplinary
Lucrezia Savioni, Stefano Triberti, Ilaria Durosini, Gabriella Pravettoni
Summary: This study examines how people make life choices, with a focus on the involvement of System 1 and System 2 cognitive processes. The findings indicate that System 1 is more involved in sentimental choices, while System 2 is more involved in work choices. Additionally, satisfaction in life choices is predicted by the involvement of cognitive systems and individual differences.
CURRENT PSYCHOLOGY
(2023)
Article
Operations Research & Management Science
Davide La Torre, Danilo Liuzzi, Marco Repetto, Matteo Rocca
Summary: The article discusses the importance of the training phase in machine learning, presents an innovative model for learning with multiple data sets using multi-criteria optimization techniques, and discusses the stability results of effective solutions in the presence of input and output data perturbations.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Xavier Brusset, Morteza Davari, Aseem Kinra, Davide La Torre
Summary: This paper discusses the ripple effects of disruptions in supply networks caused by the pandemic and proposes a model that combines logistics with an epidemiological model to predict and simulate the impact on workforce in the supply chain. The findings can provide useful insights for managers and scholars to mitigate the impact of a pandemic.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Environmental Sciences
Ilaria Durosini, Stefano Triberti, Lucrezia Savioni, Valeria Sebri, Gabriella Pravettoni
Summary: Emotional abilities play a crucial role in the quality of life and health management of breast cancer survivors. Coping/emotional management is a key factor in survivors' well-being and health management, impacting their positive adjustment to cancer and promoting beneficial findings.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Valeria Sebri, Ilaria Durosini, Davide Mazzoni, Gabriella Pravettoni
Summary: This study examines the impact of a tailored psychological intervention on breast cancer survivors' relationship with their bodies. Results indicate that participation in the intervention increased participants' awareness and desire to take care of their bodies on a daily basis, leading to an improved body perception.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Operations Research & Management Science
Xavier Brusset, Aida Jebali, Davide La Torre, Danilo Liuzzi
Summary: In this study, three decision support models are proposed to help plant managers decide on the level and duration of protection measures for the workforce against COVID-19. These models are based on an epidemiological model and provide insights into the impact of infections on production and cost.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Xavier Brusset, Dmitry Ivanov, Aida Jebali, Davide La Torre, Marco Repetto
Summary: This paper proposes a dynamic approach and optimal control model for supply chain reconfiguration and ripple effect analysis integrated with an epidemic dynamics model. The model helps supply chain managers make optimal choices among interchangeable suppliers and orders, considering factors such as prices, lead times, infection exposure, and supplier risk exposure. Case studies show that the model can effectively reconfigure supply chains and mitigate ripple effects caused by infected workers.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Psychology, Multidisciplinary
Valeria Sebri, Stefano Triberti, Gabriella Pravettoni
Summary: Previous research suggests that focusing on self-representations enhances the ability to evaluate internal sensations. This study analyzed the decision-making process under various conditions of stimulated self-representations and found that participants tended to choose losses more frequently when primed with bodily self-representations. This could be due to the distractive nature of bodily self-focus, diminishing participants' long-term outcome commitment, or the enhanced interoception leading to aversion to losses.
CURRENT PSYCHOLOGY
(2023)
Article
Education & Educational Research
Claudia Repetto, Anna Flavia Di Natale, Daniela Villani, Stefano Triberti, Serena Germagnoli, Giuseppe Riva
Summary: The widespread use of tablets and smartphones has opened up new opportunities for educational strategies, including Mobile-Assisted Language Learning (MALL). This study examined the feasibility and effectiveness of a self-administered MALL homework training using immersive 360 degrees videos, compared to a training using standard videos. Results showed that students with a positive attitude towards technology watched more videos and those who underwent the training with 360 degrees videos learned more words.
INTERACTIVE LEARNING ENVIRONMENTS
(2023)
Article
Oncology
Ilaria Durosini, Marianna Masiero, Chiara Casini, Gabriella Pravettoni
Summary: This study examined the relationship between the impact of cancer diagnosis on survivors and their smoking behavior, finding that neuroticism and emotional intelligence mediate this relationship.
Meeting Abstract
Oncology
I. Durosini, L. Savioni, S. Triberti, V. Sebri, A. V. Giudice, G. Pravettoni
ANNALS OF ONCOLOGY
(2022)
Article
Psychology, Multidisciplinary
Valeria Sebri, Ilaria Durosini, Davide Mazzoni, Gabriella Pravettoni
Summary: This study aims to understand the differences between motives and outcomes among breast cancer survivors after participating in an integrated physical and psychological intervention. The findings reveal that physical and psychological well-being are the main themes of concern for participants, with some themes showing changes at the end of the intervention.
BEHAVIORAL SCIENCES
(2022)
Review
Public, Environmental & Occupational Health
Lucrezia Savioni, Stefano Triberti, Ilaria Durosini, Valeria Sebri, Gabriella Pravettoni
Summary: This research found that future psychological interventions may utilize specific tools to consider patients' reasons for adhering to the interventions. Additionally, non-participation/dropout is often associated with factors related to intervention commitment and its interference with daily life. On the other hand, patients' reasons for participation are often linked to the value they find in the intervention according to their personal needs and experience of illness.
PSYCHOLOGY & HEALTH
(2022)