6 citations · 19 across the 22 of their papers we have counts for
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Towards Objective Evaluation of Socially-Situated Conversational Robots: Assessing Human-Likeness through Multimodal User Behaviors
Koji Inoue, Divesh Lala, Keiko Ochi +2
This paper tackles the challenging task of evaluating socially situated conversational robots and presents a novel objective evaluation approach that relies on multimodal user beha…
Collecting Visually-Grounded Dialogue with A Game Of Sorts
Bram Willemsen, Dmytro Kalpakchi, Gabriel Skantze
An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify t…
Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
Agnes Axelsson, Gabriel Skantze
In any system that uses structured knowledge graph (KG) data as its underlying knowledge representation, KG-to-text generation is a useful tool for turning parts of the graph data…
Automatic Evaluation of Turn-taking Cues in Conversational Speech Synthesis
Erik Ekstedt, Siyang Wang, Éva Székely +2
Turn-taking is a fundamental aspect of human communication where speakers convey their intention to either hold, or yield, their turn through prosodic cues. Using the recently prop…
What makes a good pause? Investigating the turn-holding effects of fillers
Bing'er Jiang, Erik Ekstedt, Gabriel Skantze
Filled pauses (or fillers), such as "uh" and "um", are frequent in spontaneous speech and can serve as a turn-holding cue for the listener, indicating that the current speaker is n…
Response-conditioned Turn-taking Prediction
Bing'er Jiang, Erik Ekstedt, Gabriel Skantze
Previous approaches to turn-taking and response generation in conversational systems have treated it as a two-stage process: First, the end of a turn is detected (based on conversa…
The Open-domain Paradox for Chatbots: Common Ground as the Basis for Human-like Dialogue
Gabriel Skantze, A. Seza Doğruöz
There is a surge in interest in the development of open-domain chatbots, driven by the recent advancements of large language models. The "openness" of the dialogue is expected to b…