Article
Education & Educational Research
Jaeho Jeon
Summary: The study found that chatbots in language teaching have various affordances, including pedagogical, technological, and social aspects. These affordances affect learners differently, serving as either learning opportunities or constraints. Additionally, the study discussed how these chatbot affordances impact the psychological states of language learners.
COMPUTER ASSISTED LANGUAGE LEARNING
(2021)
Article
Psychology, Multidisciplinary
Rosa Angela Fabio, Giulia Emma Towey, Tindara Capri
Summary: This study aimed to evaluate children with different subtypes of ADHD using both static and dynamic measurements. Results showed that the inattentive and combined subtypes had lower IQ scores compared to the normative sample, while the hyperactive/impulsive subtype had higher IQ scores. The dynamic measurement indicated a wide range of learning potential in the combined subtype of ADHD.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
I-Chiu Chang, Yi-Syuan Shih, Kuang-Ming Kuo
Summary: This study aims to examine the factors that motivate individuals to use medical chatbots. The findings suggest that health consciousness and perceived convenience are positively associated with individuals' attitudes towards the use of medical chatbots, and attitude and subjective norm are significant predictors of individuals' intentions to use medical chatbots.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Computer Science, Information Systems
Parisa Supitayakul, Zeynep Yucel, Akito Monden
Summary: This study examines the potential of reinforcing visual stimuli with audio to support e-learners in memorization tasks. The experiments show that e-learning is more effective in refreshing memory, non-informative audio is better suited for verbal content, and informative audio is more suitable for numerical content.
Editorial Material
Surgery
Yi-Rui Kuang, Ming-Xiang Zou, Hua-Qing Niu, Bo-Yv Zheng, Tao-Lan Zhang, Bo-Wen Zheng
Summary: ChatGPT's potential in neurosurgery is limited, with shallow and repetitive responses lacking personalization. It struggles to discern a patient's emotional state and is influenced by technical and cultural factors in medical language. Its inability to conduct physical examinations and interpret diagnostic images limits its practical utility.
INTERNATIONAL JOURNAL OF SURGERY
(2023)
Article
Critical Care Medicine
Michele Salvagno, Fabio Silvio Taccone, Alberto Giovanni Gerli
Summary: This paper discusses the use of Artificial Intelligence Chatbot in scientific writing, with a focus on ChatGPT, a chatbot developed by OpenAI. ChatGPT utilizes the GPT language model to understand and respond to natural language inputs. AI chatbots, including ChatGPT, are valuable tools in scientific writing, assisting researchers in material organization, draft generation, and proofreading. However, ethical concerns regarding plagiarism, accuracy, and accessibility imbalances need to be addressed, and a consensus on regulating the use of chatbots in scientific writing is necessary.
Article
Communication
Linnea Laestadius, Andrea Bishop, Michael Gonzalez, Diana Illencik, Celeste Campos-Castillo
Summary: Social chatbot applications, providing emotional, social, and psychological support, have gained popularity. However, the potential harms of these applications have been rarely studied. This grounded theory study examines the mental health experiences with the popular social chatbot application Replika. Through analyzing relevant posts in the r/Replika Reddit community, the study identifies evidence of harms caused by emotional dependence on Replika, resembling patterns observed in human-human relationships. Despite previous research suggesting the dissimilarity between human-chatbot and human-human interactions, this study identifies social and technological factors that promote similarities and suggests approaches to balance the benefits and risks of social chatbots.
NEW MEDIA & SOCIETY
(2022)
Article
Engineering, Biomedical
Kunming Cheng, Zhiyong Li, Yongbin He, Qiang Guo, Yanqiu Lu, Shuqin Gu, Haiyang Wu
Summary: Chatbot Generative Pre-trained Transformer (ChatGPT), a new AI model, has garnered significant attention for its ability to process and respond to commands in a humanistic fashion. Reports indicate that within five days of its launch, ChatGPT had over one million registered users, and two months later, it exceeded 100 million monthly active users, making it the fastest-growing consumer application in history. The emergence of ChatGPT has sparked new ideas and challenges in the field of infectious disease. To assess its potential use in clinical practice and scientific research, an online survey was conducted using the publicly available ChatGPT webpage. Additionally, this study addresses relevant social and ethical issues associated with the program.
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Article
Information Science & Library Science
Scott Schanke, Gordon Burtch, Gautam Ray
Summary: This study investigates the impact of anthropomorphizing chatbots on transaction conversion rates. Findings suggest that anthropomorphism is beneficial for transaction outcomes in a retail setting, but also leads to increased sensitivity to offers. Moreover, consumers may shift to a fairness evaluation or negotiating mindset when interacting with more human-like chatbots.
INFORMATION SYSTEMS RESEARCH
(2021)
Article
Business
Janarthanan Balakrishnan, Yogesh K. Dwivedi
Summary: This study explores the impact of human-to-machine interaction and human-to-human interaction on cognitive absorption, revealing that human-to-machine interaction has a more positive influence on cognitive absorption. The findings also highlight the significance of trust, experience, and technology continuation intention in a human-machine interaction technology background.
PSYCHOLOGY & MARKETING
(2021)
Article
Computer Science, Information Systems
Anmol Arora, Louis Bojko, Santosh Kumar, Joseph Lillington, Sukhmeet Panesar, Bruno Petrungaro
Summary: This study used machine learning algorithms to predict hospital stays associated with the risk of self-harm, and found that the random forest and ensemble models performed the best in the test dataset. These algorithms can utilize readily available data collected by health providers and recorded in the Mental Health Services Data Set to predict hospital stays with a high risk of self-harm.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2023)
Article
Education & Educational Research
Robert Godwin-Jones
Summary: Looking at human communication from the perspective of semiotics expands our understanding of communication beyond verbal language to include other sign systems and resources such as gestures, body language, images, and sounds. The communicative process is influenced by the environment, place, and space in which it occurs, and language is increasingly mediated through digital networks. Mobile devices, artificial intelligence, and sociomaterialism theories further affect the relationship between human cognition/language and the world around us.
LANGUAGE LEARNING & TECHNOLOGY
(2023)
Article
Business
Konrad Sowa, Aleksandra Przegalinska, Leon Ciechanowski
Summary: This research explores the collaboration between human workers and AI in managerial tasks to increase productivity. The results confirm that enhanced human-AI collaboration boosts productivity in knowledge work, emphasizing the importance of collaborative approaches rather than full automation in the future.
JOURNAL OF BUSINESS RESEARCH
(2021)
Review
Psychology, Multidisciplinary
Blanka Klimova, Prodhan Mahbub Ibna Seraj
Summary: This mini-review identifies major research trends, models, and theories related to the use of chatbots in EFL classes and provides specific pedagogical implications for teaching. The study follows PRISMA methodology and finds open-access empirical studies in Web of Science and Scopus databases. The findings show that research on chatbots in university EFL settings focuses on their effectiveness, motivation, satisfaction, exposure, and assessment. The study contributes by evaluating the potential of chatbots to apply and integrate existing theories and concepts in EFL teaching and learning, addressing a literature gap.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Cell Biology
Xu Han Shi, Li Dong, Rui Heng Zhang, Deng Ji Zhou, Sai Guang Ling, Lei Shao, Yan Ni Yan, Ya Xing Wang, Wen Bin Wei
Summary: This study aims to assess the relationship between retinal vascular characteristics and cognitive function using artificial intelligence techniques. The results showed that several retinal vascular morphological parameters were correlated with cognitive impairment. The decrease in retinal vascular fractal dimension and decreased vascular density may serve as candidate biomarkers for early identification of cognitive impairment.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2023)
