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Found 14 papers, 2 papers with code
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community
The ability to interact with machines using natural human language is becoming not just commonplace, but expected.
TOBY: A Tool for Exploring Data in Academic Survey Papers
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper.
Causal Robot Communication Inspired by Observational Learning Insights
Autonomous robots must communicate about their decisions to gain trust and acceptance.
Towards Formalizing HRI Data Collection Processes
Within the human-robot interaction (HRI) community, many researchers have focused on the careful design of human-subjects studies.
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) has been gaining considerable attention in research in recent years.
Toward Givenness Hierarchy Theoretic Natural Language Generation
Language-capable interactive robots participating in dialogues with human interlocutors must be able to naturally and efficiently communicate about the entities in their environment.
Enabling Morally Sensitive Robotic Clarification Requests
We implement our solution in the DIARC robot architecture, which, to our knowledge, is the only current robot architecture with both moral reasoning and clarification request generation capabilities.
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
To engage in human-like dialogue, robots require the ability to describe the objects, locations, and people in their environment, a capability known as "Referring Expression Generation."
Givenness Hierarchy Theoretic Cognitive Status Filtering
We present and compare two such models of cognitive status: a rule-based Finite State Machine model directly informed by the GH literature and a Cognitive Status Filter designed to more flexibly handle uncertainty.
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019
The past few years have seen rapid progress in the development of service robots.
Robotics
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
In previous work, we developed a Consultant Framework that facilitates modality-agnostic access to information distributed across a set of heterogeneously represented knowledge sources.
Quasi-Dilemmas for Artificial Moral Agents
In this paper we describe moral quasi-dilemmas (MQDs): situations similar to moral dilemmas, but in which an agent is unsure whether exploring the plan space or the world may reveal a course of action that satisfies all moral requirements.
Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework
For situated agents to effectively engage in natural-language interactions with humans, they must be able to refer to entities such as people, locations, and objects.
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
The 7th Symposium on Educational Advances in Artificial Intelligence (EAAI'17, co-chaired by Sven Koenig and Eric Eaton) launched the EAAI New and Future AI Educator Program to support the training of early-career university faculty, secondary school faculty, and future educators (PhD candidates or postdocs who intend a career in academia).
