26 citations · 33 across the 2 of their papers we have counts for
6 papers
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes
Stephanie M. Lukin, Claire Bonial, Clare R. Voss
We describe the task of Visual Understanding and Narration, in which a robot (or agent) generates text for the images that it collects when navigating its environment, by answering…
Balancing Efficiency and Coverage in Human-Robot Dialogue Collection
Matthew Marge, Claire Bonial, Stephanie Lukin +11
We describe a multi-phased Wizard-of-Oz approach to collecting human-robot dialogue in a collaborative search and navigation task. The data is being used to train an initial automa…
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
Stephanie M. Lukin, Kimberly A. Pollard, Claire Bonial +5
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue. Differences in verbosity and structure (i.e., single-intent vs. mult…
Object and Text-guided Semantics for CNN-based Activity Recognition
Sungmin Eum, Christopher Reale, Heesung Kwon +2
Many previous methods have demonstrated the importance of considering semantically relevant objects for carrying out video-based human activity recognition, yet none of the methods…
Laying Down the Yellow Brick Road: Development of a Wizard-of-Oz Interface for Collecting Human-Robot Dialogue
Claire Bonial, Matthew Marge, Ron artstein +11
We describe the adaptation and refinement of a graphical user interface designed to facilitate a Wizard-of-Oz (WoZ) approach to collecting human-robot dialogue data. The data colle…
Applying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue
Matthew Marge, Claire Bonial, Brendan Byrne +4
Our overall program objective is to provide more natural ways for soldiers to interact and communicate with robots, much like how soldiers communicate with other soldiers today. We…