7 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
Detecting Agreement in Multi-party Conversational AI
Laura Schauer, Jason Sweeney, Charlie Lyttle +10
Today, conversational systems are expected to handle conversations in multi-party settings, especially within Socially Assistive Robots (SARs). However, practical usability remains…
Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagement
Angus Addlesee, Daniel Denley, Andy Edmondson +9
Conversational agents participating in multi-party interactions face significant challenges in dialogue state tracking, since the identity of the speaker adds significant contextua…
Building for Speech: Designing the Next Generation of Social Robots for Audio Interaction
Angus Addlesee, Ioannis Papaioannou, Oliver Lemon
There have been incredible advancements in robotics and spoken dialogue systems (SDSs) over the past few years, yet we still don't find social robots in public spaces like train st…
Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering
Angus Addlesee, Weronika Sieińska, Nancie Gunson +3
This paper evaluates the extent to which current Large Language Models (LLMs) can capture task-oriented multi-party conversations (MPCs). We have recorded and transcribed 29 MPCs b…