On heuristic and linear models of judgment: Mapping the demand for knowledge [PDF]
Research on judgment and decision making presents a confusing picture of human abilities. For example, much research has emphasized the dysfunctional aspects of judgmental heuristics, and yet, other findings suggest that these can be highly effective.
Robin Hogarth, Natalia Karelaia
core
Electric‐field‐assisted spin coating is introduced as a wet‐film processing route for guiding perovskite crystallization. A transient perpendicular field produces distinct structural maxima rather than monotonic grain growth: largest scanning electron microscopy (SEM)‐derived grain size at nominal 2 kV cm−1${\rm cm}^{-1}$, largest X‐ray diffraction ...
James R. Zelaya, Gary C. Tepper
wiley +1 more source
Are restudy decisions reactively altered by judgments of learning? Insights from related and unrelated word pairs. [PDF]
Ingendahl F, Undorf M.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Humanistic Meaning-Making and Behavioral Governance in AI-Mediated Nursing Care. [PDF]
Hsieh T.
europepmc +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
A cognitive model of moral and nonmoral self-criticism: the role of judgment criteria. [PDF]
Zaccari V, Mancini F.
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Empathetic responses by AI legal assistants and user over-disclosure: evidence from an online survey experiment. [PDF]
Wang S.
europepmc +1 more source

