activity
19942022
most citedSpoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

113 citations · 199 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CL2022

Interactive Evaluation of Dialog Track at DSTC9

Shikib Mehri, Yulan Feng, Carla Gordon +3

The ultimate goal of dialog research is to develop systems that can be effectively used in interactive settings by real users. To this end, we introduced the Interactive Evaluation…

cs.CL2022★ 24 cited

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

Shikib Mehri, Jinho Choi, Luis Fernando D'Haro +13

This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog. The workshop explored the current state of the art along with its limitations and suggeste…

cs.CL2020★ 37 cited

Overview of the Ninth Dialog System Technology Challenge: DSTC9

Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro +36

This paper introduces the Ninth Dialog System Technology Challenge (DSTC-9). This edition of the DSTC focuses on applying end-to-end dialog technologies for four distinct tasks in…

cs.RO2020★ 113 cited

Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop

Matthew Marge, Carol Espy-Wilson, Nigel Ward

With robotics rapidly advancing, more effective human-robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be pa…

cs.RO2018★ 2 cited

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.HC2018

Multimodal Dialogue Management for Multiparty Interaction with Infants

Setareh Nasihati Gilani, David Traum, Arcangelo Merla +5

We present dialogue management routines for a system to engage in multiparty agent-infant interaction. The ultimate purpose of this research is to help infants learn a visual sign…