Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 164 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 21 tok/s Pro
GPT-5 High 27 tok/s Pro
GPT-4o 72 tok/s Pro
Kimi K2 204 tok/s Pro
GPT OSS 120B 450 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

Exchanging... Watch out! (2311.04747v1)

Published 8 Nov 2023 in cs.HC

Abstract: During a conversation, individuals take turns speaking and engage in exchanges, which can occur smoothly or involve interruptions. Listeners have various ways of participating, such as displaying backchannels, signalling the aim to take a turn, waiting for the speaker to yield the floor, or even interrupting and taking over the conversation. These exchanges are commonplace in natural interactions. To create realistic and engaging interactions between human participants and embodied conversational agents (ECAs), it is crucial to equip virtual agents with the ability to manage these exchanges. This includes being able to initiate or respond to signals from the human user. In order to achieve this, we annotate, analyze and characterize these exchanges in human-human conversations. In this paper, we present an analysis of multimodal features, with a focus on prosodic features such as pitch (F0) and loudness, as well as facial expressions, to describe different types of exchanges.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.