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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Log-Based Initiative Allocation for Human-AI Collaboration in Fashion Design

Research datakeyboard_double_arrow_right Dataset 08 Jan 2025Publisher:Zenodo
Authors: Joo, Misun; Kim, Myungjin; Han, Kyungsik;

doi: 10.5281/zenodo.14304836 , 10.5281/zenodo.14616661

Log-Based Initiative Allocation for Human-AI Collaboration in Fashion Design

Abstract

This dataset is a user survey and behavior log generated from a user study of CoCoStyle(doi, journal link), a fashion AI-MICCS web framework, and consists of three phases: Research, Design, and Improvement. Each file is in CSV format, and each column consists of the sum of the user's click log and time log. By analyzing this data, we can see how users used the system's features in the three processes of fashion design, understand the behavior of fashion designers, and more.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average