47 citations · 55 across the 15 of their papers we have counts for
14 papers
TOBY: A Tool for Exploring Data in Academic Survey Papers
Tathagata Chakraborti, Jungkoo Kang, Christian Muise +4
This paper describes TOBY, a visualization tool that helps a user explore the contents of an academic survey paper. The visualization consists of four components: a hierarchical vi…
Hidden Complexities in the Computational Modeling of Proportionality for Robotic Norm Violation Response
Ruchen Wen, Tom Williams
Language-capable robots hold unique persuasive power over humans, and thus can help regulate people's behavior and preserve a better moral ecosystem, by rejecting unethical command…
Causal Robot Communication Inspired by Observational Learning Insights
Zhao Han, Boyoung Kim, Holly A. Yanco +1
Autonomous robots must communicate about their decisions to gain trust and acceptance. When doing so, robots must determine which actions are causal, i.e., which directly give rise…
Towards Formalizing HRI Data Collection Processes
Zhao Han, Tom Williams
Within the human-robot interaction (HRI) community, many researchers have focused on the careful design of human-subjects studies. However, other parts of the community, e.g., the…
Projecting Robot Navigation Paths: Hardware and Software for Projected AR
Zhao Han, Jenna Parrillo, Alexander Wilkinson +2
For mobile robots, mobile manipulators, and autonomous vehicles to safely navigate around populous places such as streets and warehouses, human observers must be able to understand…
Human Capabilities as Guiding Lights for the Field of AI-HRI: Insights from Engineering Education
Tom Williams, Ruchen Wen
Social Justice oriented Engineering Education frameworks have been developed to help guide engineering students' decisions about which projects will genuinely address human needs t…
I Need Your Advice... Human Perceptions of Robot Moral Advising Behaviors
Nichole D. Starr, Bertram Malle, Tom Williams
Due to their unique persuasive power, language-capable robots must be able to both act in line with human moral norms and clearly and appropriately communicate those norms. These r…
Toward Givenness Hierarchy Theoretic Natural Language Generation
Poulomi Pal, Tom Williams
Language-capable interactive robots participating in dialogues with human interlocutors must be able to naturally and efficiently communicate about the entities in their environmen…
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
Tom Williams, Torin Johnson, Will Culpepper +1
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 Genera…
Enabling Morally Sensitive Robotic Clarification Requests
Ryan Blake Jackson, Tom Williams
The design of current natural language oriented robot architectures enables certain architectural components to circumvent moral reasoning capabilities. One example of this is refl…
Givenness Hierarchy Theoretic Cognitive Status Filtering
Poulomi Pal, Lixiao Zhu, Andrea Golden-Lasher +2
For language-capable interactive robots to be effectively introduced into human society, they must be able to naturally and efficiently communicate about the objects, locations, an…
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
Tom Williams, Ravenna Thielstrom, Evan Krause +2
Human-robot communication in situated environments involves a complex interplay between knowledge representations across a wide variety of modalities. Crucially, linguistic informa…
Quasi-Dilemmas for Artificial Moral Agents
Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold +2
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 revea…
Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
Eric Eaton, Sven Koenig, Claudia Schulz +8
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 sup…