activity
20182020
collaborators

8 papers

cs.CL2020

The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models

José Lopes, Francisco J. Chiyah Garcia, Helen Hastie

Challenges around collecting and processing quality data have hampered progress in data-driven dialogue models. Previous approaches are moving away from costly, resource-intensive…

cs.CY2020

Robots in the Danger Zone: Exploring Public Perception through Engagement

David A. Robb, Muneeb I. Ahmad, Carlo Tiseo +14

Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent rese…

cs.HC2020

CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues

Francisco J. Chiyah Garcia, José Lopes, Xingkun Liu +1

Large corpora of task-based and open-domain conversational dialogues are hugely valuable in the field of data-driven dialogue systems. Crowdsourcing platforms, such as Amazon Mecha…

cs.HC2020

Natural Language Interaction to Facilitate Mental Models of Remote Robots

Francisco J. Chiyah Garcia, José Lopes, Helen Hastie

Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences. High-stakes scenarios, such as emergency response or offsho…

cs.AI2019

Towards Self-Explainable Cyber-Physical Systems

Mathias Blumreiter, Joel Greenyer, Francisco Javier Chiyah Garcia +5

With the increasing complexity of CPSs, their behavior and decisions become increasingly difficult to understand and comprehend for users and other stakeholders. Our vision is to b…

cs.HC2018

A Natural Language Interface with Relayed Acoustic Communications for Improved Command and Control of AUVs

David A. Robb, Jonatan Scharff Willners, Nicolas Valeyrie +6

Autonomous underwater vehicles (AUVs) are being tasked with increasingly complex missions. The acoustic communications required for AUVs are, by the nature of the medium, low bandw…