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Behavioral Annotation Tools And Multimodal Data Papers

0 papers in the Behavioral Annotation Tools And Multimodal Data research area.

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Behavioral Annotation Tools And Multimodal Data: Research Area — Prolific Citations Library

Discover 1 peer-reviewed study in Behavioral Annotation Tools And Multimodal Data (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Behavioral Annotation Tools And Multimodal Data in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Augmented behavioral annotation tools, with application to multimodal datasets and models: A systematic review

Authors: E Watson, T Viana, S Zhang

Year: 2024

Published in: AI, 2023 - mdpi.com

Research Area: Behavioral Annotation Tools and Multimodal Data

Discipline: Computer Science

The paper systematically reviews augmented behavioral annotation tools, focusing on their evolution, current state, and application to multimodal datasets and models, highlighting best practices and emerging challenges in safe and ethical annotation for large-scale multimodal systems.

Methods: Systematic literature review analyzing crowd and machine learning-augmented behavioral annotation methods, with cross-disciplinary comparisons and structured synthesis of practices.

Key Findings: Evolution of behavioral annotation tools, their integration with machine learning, emerging trends (e.g., prompt engineering), challenges in large multimodal datasets, and ethical and engineering best practices.

DOI: https://doi.org/10.3390/ai4010007

Citations: 17