Results 161 to 170 of about 13,557 (292)
Diverse groups look more moral in loose (but not tight) cultural contexts. [PDF]
Karataş M, Chin SD.
europepmc +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Subtle Morality-Related Cues Promote Honest Behavior in Adolescents: Evidence from Chinese Middle School Students. [PDF]
Zeng T +7 more
europepmc +1 more source
The belief in a decline in cooperation in the USA and China. [PDF]
Liu Y +4 more
europepmc +1 more source
Most researches on celebrity endorsement concentrated on the endorser’s credibility (including expertise and trustworthiness), attractiveness and congruence.
M. C. Ma, X. Q. Ding, H. M. Wang
core
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Under renovation: Large-scale societal events induce shifts between moral ideologies. [PDF]
Chang YP, Chiang YS, Wang CK.
europepmc +1 more source
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source

