Results 31 to 40 of about 2,442,342 (243)
What we can learn from Dialogue Systems that don't work: On Dialogue Systems as Cognitive Models [PDF]
Schlangen D. What we can learn from Dialogue Systems that don't work: On Dialogue Systems as Cognitive Models. In: Proceedings of DiaHolmia, the 13th International Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL 2009).
Schlangen, David ; https://orcid.org/
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Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Digital Dialogue in Learning: Cognitive, Social, Existential Features and Risks
Digitalization of socio-cultural phenomena, including the education system, generates transformations of their qualitative characteristics and parameters, which requires research from the standpoint of methodological analysis and assessment of their ...
Liudmila Vladimirovna Baeva
doaj +1 more source
Gestural Alignment in Natural Dialogue [PDF]
Bergmann K, Kopp S. Gestural Alignment in Natural Dialogue. In: Cooper RP, Peebles D, Miyake N, eds. Proceedings of the 34th Annual Conference of the Cognitive Science Society (CogSci 2012).
Kopp, Stefan ; https://orcid.org/ +4 more
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Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen +14 more
wiley +1 more source
Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
A fully annotated corpus for studying the effect of cognitive ageing on users interactions with spoken dialogue systems [PDF]
In this paper we present a corpus of interactions of older and younger users with nine different dialogue systems. The corpus has been fully transcribed and annotated with dialogue acts and "Information State Update" (ISU) representations of dialogue ...
Moore, Johanna D +9 more
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Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
An Analysis of Older Users' Interactions with Spoken Dialogue Systems [PDF]
This study explores communication differences between older and younger users with a task-oriented spoken dialogue system. Previous analyses of the MATCH corpus show that older users have significantly longer dialogues than younger users and that they ...
Bost, Jamie, Moore, Johanna
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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

