activity
20162022
most citedApplying the Wizard-of-Oz Technique to Multimodal Human-Robot Dialogue

26 citations · 60 across the 6 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.RO2018

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…

cs.CL2018

A Pipeline for Creative Visual Storytelling

Stephanie M. Lukin, Reginald Hobbs, Clare R. Voss

Computational visual storytelling produces a textual description of events and interpretations depicted in a sequence of images. These texts are made possible by advances and cross…

cs.CL2018

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…

cs.CL2018

ScoutBot: A Dialogue System for Collaborative Navigation

Stephanie M. Lukin, Felix Gervits, Cory J. Hayes +7

ScoutBot is a dialogue interface to physical and simulated robots that supports collaborative exploration of environments. The demonstration will allow users to issue unconstrained…

cs.CV2018

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…