Year: 2024
Type: article
Abstract: This article summarizes the author's presentation in the New Faculty Highlight at the Thirty‐Eighth AAAI Conference on Artificial Intelligence. It discusses the desired properties of representations for enabling robust human–robot interaction. Examples from the author's work are presented to show how to build these properties into models for performing tasks with natural language guidance and engaging in social interactions with other agents.
Source: AI Magazine
DOI: 10.1002/aaai.12197
Author: Yen‐Ling Kuo
Institution: University of Virginia
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,400
OpenAlex ID: W4403657946