• A quantitative comparison on f...

Treffer: A quantitative comparison on file folder structures of two groups of information workers

Title:
A quantitative comparison on file folder structures of two groups of information workers
Authors:
Hu, X, Zhang, H
Publisher Information:
IEEE.
United States
Publication Year:
2014
Collection:
University of Hong Kong: HKU Scholars Hub
Subject Terms:
User groups, Personal information organization, File structures, Information workers, Quantitative measures
Document Type:
Konferenz conference object
Language:
English
Relation:
ACM / IEEE Joint Conference on Digital Libraries Proceedings; 246062; http://hdl.handle.net/10722/213514
DOI:
10.1109/JCDL.2014.6970237
Availability:
https://doi.org/10.1109/JCDL.2014.6970237
http://hdl.handle.net/10722/213514
Rights:
©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ; ACM / IEEE Joint Conference on Digital Libraries Proceedings. Copyright © IEEE.
Accession Number:
edsbas.F442DD8D
Database:
BASE

Weitere Informationen

This study compares file folder structures on personal computers of two groups of information workers, administrative staff and PhD students. A set of quantitative measures are calculated which disclose the differences and similarities between folder structures of the two user groups. The results shows that the group conducting more administrative activities has broader and shallower folders than the PhD group who performs more research activities, and the folders of the PhD group are more populated over deeper levels of the trees than those of the administrative group. The study improves our understanding of the various quantitative measures in investigating personal computer folder structures, and furthermore contributes to our knowledge of the information organization structure in personal information systems. © 2014 IEEE. ; published_or_final_version