AIMC Topic: Attitude
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Preferences in AI algorithms: The need for relevant risk attitudes in automated decisions under uncertainties.
Risk analysis : an official publication of the Society for Risk Analysis
Jan 6, 2024
Artificial intelligence (AI) has the potential to improve life and reduce risks by providing large amounts of information embedded in big databases and by suggesting or implementing automated decisions under uncertainties. Yet, in the design of a pre...
Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.
BMC medical informatics and decision making
Nov 29, 2023
PURPOSE: Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about healthcare services in the Persi...
Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.
The Journal of surgical research
Nov 27, 2023
INTRODUCTION: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature descri...
Hybrid deep learning models with multi-classification investor sentiment to forecast the prices of China's leading stocks.
PloS one
Nov 27, 2023
The prediction of stock prices has long been a captivating subject in academic research. This study aims to forecast the prices of prominent stocks in five key industries of the Chinese A-share market by leveraging the synergistic power of deep learn...
Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis.
PloS one
Oct 18, 2023
Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users' sentiment. Howeve...
Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis.
Journal of medical Internet research
Oct 16, 2023
BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals...
Technology Acceptance of Socially Assistive Robots Among Older Adults and the Factors Influencing It: A Meta-Analysis.
Journal of applied gerontology : the official journal of the Southern Gerontological Society
Sep 26, 2023
The purpose of this study was to deeply understand older adults' acceptance of socially assistive robots and their influencing factors and to compare the strength of the correlation between each influencing factor variable and the acceptance. The lit...
The (Im)perfect Automation Schema: Who Is Trusted More, Automated or Human Decision Support?
Human factors
Aug 26, 2023
OBJECTIVE: This study's purpose was to better understand the dynamics of trust attitude and behavior in human-agent interaction.
Exploring the relationships between attitudes toward emission trading schemes, artificial intelligence, climate entrepreneurship, and sustainable performance.
Environmental science and pollution research international
Aug 9, 2023
The research objective of this research paper is to examine the relationships between organizational commitment to emission trading schemes, artificial intelligence, and climate entrepreneurship, as well as their impact on sustainable performance, i....
The Effects of Stakeholder Perceptions on the Use of Humanoid Robots in Care for Older Adults: Postinteraction Cross-Sectional Study.
Journal of medical Internet research
Aug 4, 2023
BACKGROUND: Efficient use of humanoid social robots in the care for older adults requires precise knowledge of expectations in this area. There is little research in this field that includes the interaction of stakeholders with the robot. Even fewer ...
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