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Found 5 papers, 1 papers with code
Mining multi-modal communication patterns in interaction with explainable and non-explainable robots
We investigate interaction patterns for humans interacting with explainable and non-explainable robots.
Conversational Norms for Human-Robot Dialogues
This paper describes a recently initiated research project aiming at supporting development of computerised dialogue systems that handle breaches of conversational norms such as the Gricean maxims, which describe how dialogue participants ideally form their utterances in order to be informative, relevant, brief, etc.
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
Semantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embeddings, have been proposed.
Bias in Machine Learning -- What is it Good for?
In public media as well as in scientific publications, the term \emph{bias} is used in conjunction with machine learning in many different contexts, and with many different meanings.
