Work

Adapting Language Model Responses with Implicit Feedback for Effective Human-AI Collaboration

Year: 2025

Type: conference-paper

Abstract: To be effective teammates with humans, is necessary for AI systems to deduce user state and context from implicitly collected feedback. In this extended abstract, we explore ways in which user activity and eyetracking systems can provide implicit feedback for the purpose of adapting the AI model to user's changing goals and needs.

Source: Proceedings of the AAAI Symposium Series

DOI: 10.1609/aaaiss.v5i1.35568

Authors: Jaelle Scheuerman, Shannon McGarry, Ciara Sibley, Noelle Brown

Institution: United States Naval Research Laboratory

Language: English

Topic: Speech and dialogue systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410823265

FWCI:

Cites: 11

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Related to: 10