HAI 2024 Workshop Proposal: Fluidity in Human-Agent Interaction

Fluidity is a key quality of human-human and more natural human-agent interaction (HAI). The concept of fluidity is difficult to define formally, however, interaction partners and users perceive the difference between more and less fluid interaction. As an initial informal definition, fluidity in interaction can be considered the abilities to seamlessly transition in turn-taking, to allow appropriate overlap of turns between agents, including multimodally, and to allow action using prediction. The purpose of this workshop is to bring agent designers together to attempt to define fluidity in interaction more precisely and propose ways in which we can make HAI more fluid.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1145/3687272.3691361
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

HAI 2024 Workshop Proposal: Fluidity in Human-Agent Interaction

Frank Foerster, Patrick Holthaus, Julian Hough, Yongjun Zheng et al.
Time Series Analysis and Forecasting
article

HAI 2024 Workshop Proposal: Fluidity in Human-Agent Interaction

Frank Foerster, Patrick Holthaus, Julian Hough, Yongjun Zheng, Carlos Valter Baptista De Lima
article en

Abstract

Fluidity is a key quality of human-human and more natural human-agent interaction (HAI). The concept of fluidity is difficult to define formally, however, interaction partners and users perceive the difference between more and less fluid interaction. As an initial informal definition, fluidity in interaction can be considered the abilities to seamlessly transition in turn-taking, to allow appropriate overlap of turns between agents, including multimodally, and to allow action using prediction. The purpose of this workshop is to bring agent designers together to attempt to define fluidity in interaction more precisely and propose ways in which we can make HAI more fluid.

University of Hertfordshire (GB), Swansea University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 77%
Time Series Analysis and Forecasting
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HAI 2024 Workshop Proposal: Fluidity in Human-Agent Interaction — Frank Foerster, Patrick Holthaus, et al. · (2024) | TGRS Research Map | TGRS