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Found 7 papers, 2 papers with code
Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems
While theories of discourse and cognitive science have long recognized the value of unhurried pacing, recent dialogue research tends to minimize friction in conversational systems.
Generating Signed Language Instructions in Large-Scale Dialogue Systems
We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide multimodal conversational AI platform.
Learning Multimodal Cues of Children's Uncertainty
In this work, for the first time, we present a dataset annotated in collaboration with developmental and cognitive psychologists for the purpose of studying nonverbal cues of uncertainty.
Multimodal Contextualized Plan Prediction for Embodied Task Completion
Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks.
Modeling Intensification for Sign Language Generation: A Computational Approach
To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification.
Including Facial Expressions in Contextual Embeddings for Sign Language Generation
State-of-the-art sign language generation frameworks lack expressivity and naturalness which is the result of only focusing manual signs, neglecting the affective, grammatical and semantic functions of facial expressions.
COSMic: A Coherence-Aware Generation Metric for Image Descriptions
Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations.
