Communicative success in spatial dialogue: The impact of functional features and dialogue strategies [PDF]
This paper addresses the impact of dialogue strategies and functional features of spatial arrangements on communicative success. To examine the sharing of cognition between two minds in order to achieve a joint goal, we collected a corpus of 24 extended ...
Elena Andonova +6 more
core +1 more source
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss +9 more
wiley +1 more source
CAB: Empathetic Dialogue Generation with Cognition, Affection and Behavior
Empathy is an important characteristic to be considered when building a more intelligent and humanized dialogue agent. However, existing methods did not fully comprehend empathy as a complex process involving three aspects: cognition, affection and behavior.
Gao, Pan +4 more
openaire +2 more sources
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
A novel multi-fold security framework for cognitive radio wireless ad-hoc networks [PDF]
Cognitive Radio (CR) Technology has emerged as a smart and intelligent technology to address the problem of spectrum scarcity and its under-utilization. CR nodes sense the environment for vacant channels, exchange control information, and agree upon free
Maple, Carsten +2 more
core
Structural Descriptions in Human-Assisted Robot Visual Learning [PDF]
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns.
Berginc, Gregor +3 more
core +2 more sources
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Reference strategies in dialogues about ethnic faces: a toposemantic express-analysis
In the experimental study in identification/discrimination of ethnic faces by dyads, the phenomena of mutual assimilation of the cognitive processes in communication partners were investigated.
A.N. Kharitonov +2 more
doaj +1 more source
Responding to the Religious Reasons of Others: Resonance and Non-Reducitve Religious Pluralism [PDF]
Call a belief ”non-negotiable’ if one cannot abandon the belief without the abandonment of one’s religious perspective. Although non-negotiable beliefs can logically exclude other perspectives, a non-reductive approach to religious pluralism can help to ...
Legenhausen, Muhammad
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

