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Found 6 papers, 2 papers with code
The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models
Challenges around collecting and processing quality data have hampered progress in data-driven dialogue models.
Robots in the Danger Zone: Exploring Public Perception through Engagement
We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector.
Natural Language Interaction to Facilitate Mental Models of Remote Robots
Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences.
CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues
Large corpora of task-based and open-domain conversational dialogues are hugely valuable in the field of data-driven dialogue systems.
MIRIAM: A Multimodal Chat-Based Interface for Autonomous Systems
We present MIRIAM (Multimodal Intelligent inteRactIon for Autonomous systeMs), a multimodal interface to support situation awareness of autonomous vehicles through chat-based interaction.
Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots
Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why in order to increase transparency and maintain trust.
