Review
Public, Environmental & Occupational Health
Xuejing Li, Dan Yang, Meiqi Meng, Junqiang Zhao, Yiyi Yin, Hefang Wang, Xiaoyan Zhang, Qian Liu, Mengdi Li, Jianping Liu, Yufang Hao
Summary: Shared decision-making (SDM) is in its early stages in mainland China. There is a lack of comprehensive understanding of decisional needs concepts, and limited research on decision support and decisional outcomes. Uniform standards for developing patient decision aids are lacking. Chinese SDM studies primarily focus on physiological needs.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Psychology, Multidisciplinary
Yu Guo, Xiaoqian Liu, Xiaoyang Wang, TingshaoD Zhu, Wei Zhan
Summary: In this study, an automatic decision-style recognition method based on Kinect technology is proposed. Face data and questionnaire scores were used to obtain individual decision-making style, and machine learning algorithms were employed for automatic recognition. The experimental results showed that the linear regression model performed the best.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Business
Patricia Harris, Francesca Dall'Olmo Riley, Chris Hand
Summary: The study demonstrates that individuals employing maximization as a shopping strategy are more likely to experience regret and decreased satisfaction in multichannel shopping, but product and retailer reviews can mitigate these tendencies.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Biochemistry & Molecular Biology
Weidong Cai, Stacie L. Warren, Katherine Duberg, Bruce Pennington, Stephen P. Hinshaw, Vinod Menon
Summary: The study found that children with ADHD have deficits in decision-making, attention, and response variability, and identified latent brain state features related to these symptoms through analysis of brain dynamics.
MOLECULAR PSYCHIATRY
(2021)
Article
Engineering, Electrical & Electronic
Yang Liu, Changfu Zong, Changhua Dai, Hongyu Zheng, Dong Zhang
Summary: In this article, two behavioral decision-making approaches based on non-cooperative game theory are proposed for solving interactions between autonomous vehicles in platoon control. By considering platooning performances and incomplete information, stable strategies can be obtained to improve cooperative platoon performance and solve complex driving scenarios.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Chemistry, Analytical
Ming Ye, Lei Pu, Pan Li, Xiangwei Lu, Yonggang Liu
Summary: In recent years, autonomous driving technology has shifted towards vehicle adapting to humans. A personalized lane change decision model based on time-series data is proposed to improve the adaptability of autonomous driving systems. By identifying driving styles and considering interaction between vehicles, the model accurately predicts lane change behavior and enables personalized driving.
Article
Economics
Shutong He, Julia Blasch, Pieter van Beukering, Junfeng Wang
Summary: This study found that visualizing energy efficiency using continuous-scale labels increases consumers' consciousness when purchasing appliances. The effectiveness of continuous-scale labels depends on individuals' holistic cognitive tendency and the type of comparison in the Dutch sample, while the Chinese sample is not sensitive to these factors. Moreover, energy literacy has varying influences on individual decisions.
Article
Computer Science, Information Systems
Fabiana Mendes, Emilia Mendes, Norsaremah Salleh, Markku Oivo
Summary: The research investigated the relationship between decision-making style and personality in the context of software project development and identified seven statistically significant correlations. The model revealed that agreeableness can explain 4.2% of decision-making style variation. Additionally, the role of software engineers can impact the strength of the relationship between decision-making style and agreeableness.
INFORMATION AND SOFTWARE TECHNOLOGY
(2021)
Article
Engineering, Civil
Yifan Zhang, Qian Xu, Jianping Wang, Kui Wu, Zuduo Zheng, Kejie Lu
Summary: In this paper, a new model for discretionary lane change (DLC) decision-making is proposed, which integrates human factors represented by driving styles and considers contextual traffic information and driving styles of surrounding vehicles. The model can imitate human drivers' decision-making maneuvers and achieves a prediction accuracy of 98.66%. The impact of the model on improving traffic safety and speed compared to human drivers is also analyzed.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Marine
Guanzhong Chen, Yue Shen, Nanzhu Qu, Bo He
Summary: This study proposes a path planning method based on behavioral decision-making for autonomous underwater vehicle to save energy during the diving process. The method utilizes an adaptive differential evolution algorithm and motion constraints to optimize energy consumption. Experimental results show that the proposed method can save at least 9% energy and obtain a reachable path with optimized energy consumption during diving process.
Article
Neurosciences
Zhengjie Liu, Hailing Zhao, Yashi Xu, Jie Liu, Fang Cui
Summary: This study used fMRI and a novel paradigm to investigate the regulatory mechanism of time pressure and empathy trait in prosocial decision-making. The findings suggest that time pressure affects self-concerned and prosocial decision-making differently, and that the empathy trait plays a crucial role in modulating prosocial decision-making.
HUMAN BRAIN MAPPING
(2023)
Article
Computer Science, Artificial Intelligence
Jinghua Wu, Hongyu Chen, Yan Li, Yunhui Liu
Summary: This research proposes a modeling framework that integrates emotional assessment, time belief, and evaluation of opponent's concession behavior to improve negotiation efficiency and fairness. Numerical experiments show the superiority of this framework compared to existing agent-based persuasion methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Psychology, Multidisciplinary
Lidor Krava, Shahar Ayal, Guy Hochman
Summary: Research indicates that deliberative decision-making processes can lead to better one-shot financial decisions, while intuitive decision-making processes may be just as effective in repetitive decision-making scenarios. However, the advantage of deliberative processes may diminish when information is lacking.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Automation & Control Systems
Jianming Zhan, Jiajia Wang, Weiping Ding, Yiyu Yao
Summary: This paper reviews and examines the advances in three-way behavioral decision making with hesitant fuzzy information systems from the perspective of the past, present, and future. It provides a brief historical account and presents basic formulations, summarizes the latest development trends and examines basic issues, and points out key challenges and future research directions.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Mathematics, Applied
Vasileios Basios, Thomas Oikonomou, Robin De Gernier
Summary: The study examines the information content of musical texts from Japanese and Western European traditions encoded via symbolic dynamics, assessing the complexity of the text through analysis of block-entropy and block-length scaling laws.Constraints underlying the dynamics of the symbol generating process are identified as key factors of complexity emergence.
Article
Pediatrics
Hidehiko Maruyama, Jumpei Saito, Miki Nagai, Mai Mochizuki, Yoichi Ishikawa, Yushi Ito
PEDIATRICS INTERNATIONAL
(2018)
Article
Pediatrics
Hidehiko Maruyama, Ayano Tanzawa, Takanori Funaki, Yushi Ito, Tetsuya Isayama
Summary: The study analyzed initial vancomycin trough concentrations in newborns receiving treatment. Most patients had trough concentrations below target levels, and no significant clinical characteristics affecting trough concentrations were found. Consideration should be given to increasing vancomycin dosages as per the Nelson regimen.
PEDIATRICS INTERNATIONAL
(2021)