Results 61 to 70 of about 67,288 (253)

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
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, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Hierarchial chunking in sentence processing [PDF]

Perception & Psychophysics, 1970
In order to evaluate a left-to-right hierarchical chunking model of sentence perception, Johnson’s Hierarchical Clustering Scheme (HCS) technique was applied to data obtained from sentence intelligibility tests. One hundred and twenty Ss listened to sentences disturbed by white noise. After each presentation they wrote down what they had heard.
openaire   +4 more sources

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
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

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

The emotion potential of simple sentences: additive or interactive effects of nouns and adjectives?

Frontiers in Psychology, 2015
The vast majority of studies on affective processes in reading focus on single words. The most robust finding is a processing advantage for positively valenced words, which has been replicated in the rare studies investigating effects of affective ...
Jana eLüdtke, Jana eLüdtke, Arthur M Jacobs, Arthur M Jacobs, Arthur M Jacobs   +4 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

A Comparison of Phonological Processing and Sentence Comprehension of Normal Hearing Children and Those with Cochlear Implant Experience

Function and Disability Journal, 2018
Farsi Background and Objective: The purpose of the present study is to investigate the phonological processing and sentence comprehension in children with CIs and compare them with normal hearing (NH) children.
Nasim Aminrasouli, Reyhane Mohamadi, Mohammad Sadeq Jenabi, Mohammad Kamali   +3 more
doaj  

Broca's area, sentence comprehension, and working memory: an fMRI study

Frontiers in Human Neuroscience, 2008
The role of Broca's area in sentence processing remains controversial. According to one view, Broca's area is involved in processing a subcomponent of syntactic processing.
Corianne Rogalsky, Corianne Rogalsky, William Matchin, William Matchin, Gregory Hickok, Gregory Hickok   +5 more
doaj   +1 more source

Versatile Detection of Cellular Protein via Fluorescence Anisotropy

Advanced Science, EarlyView.
Cell Lysate Fluorescence Anisotropy (CFAST) utilizes long lifetime dye‐labeled nanobodies for rapid protein quantification in minimally purified, complex cell lysate. When coupled with cellular thermal shift, CFAST allows high‐throughput detection of endogenous protein‐small molecule engagement, facilitating the discovery of novel binders for ...
Qing Tang, Yuan‐Ping Wei, Ricky Ruiqi Ma, Na Wei, Tammy Zihan Zhou, Hilary Kung‐Yu Ho, Zafar Iqbal Bhat, Iqra Ishrat, Xiaoyu Li, Judy Wai Ping Yam, Yung Hou Wong, Qiankun Wang, Justin L. Tan   +12 more
wiley   +1 more source