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    Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 132, 2019 DOI: 10.1016/j.ijhcs.2019.08.005

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Data transfer: A longitudinal analysis of clipboard and drag-and-drop use in desktop applications

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Data transfer: A longitudinal analysis of clipboard and drag-and-drop use in desktop applications. / Woodruff, Jonathan; Alexander, Jason.
In: International Journal of Human-Computer Studies, Vol. 132, 01.12.2019, p. 112-120.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Woodruff J, Alexander J. Data transfer: A longitudinal analysis of clipboard and drag-and-drop use in desktop applications. International Journal of Human-Computer Studies. 2019 Dec 1;132:112-120. Epub 2019 Aug 19. doi: 10.1016/j.ijhcs.2019.08.005

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Bibtex

@article{054cbee77cf7422a8cea6b954cfc100b,
title = "Data transfer: A longitudinal analysis of clipboard and drag-and-drop use in desktop applications",
abstract = "Data transfer within and between desktop applications facilitates efficient data-centric tasks on modern computer operating systems. This data can be transferred via the clipboard (cut, copy, paste) or through more direct drag-and-drop actions. This paper presents results gathered during a 90-day longitudinal log study of 17 participants{\textquoteright} clipboard and drag-and-drop interactions. The paper characterises the frequency, time and type of actions, interaction mechanism, and whether the users{\textquoteright} computer configuration affects these findings. We found clipboard operations are more common than drag-and-drop operations (and drag-and-drop is rarely used by some participants), most data transfer occurs on the same screen for multi-screen users, clipboard and drag-and-drop operations are used for different applications and the applications used for clipboard operations align with previously reported results.",
keywords = "Clipboard, Copy-and-paste, Drag-and-drop, Desktop interaction, Data transfer, Multiple screens",
author = "Jonathan Woodruff and Jason Alexander",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 132, 2019 DOI: 10.1016/j.ijhcs.2019.08.005",
year = "2019",
month = dec,
day = "1",
doi = "10.1016/j.ijhcs.2019.08.005",
language = "English",
volume = "132",
pages = "112--120",
journal = "International Journal of Human-Computer Studies",
issn = "1071-5819",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Data transfer

T2 - A longitudinal analysis of clipboard and drag-and-drop use in desktop applications

AU - Woodruff, Jonathan

AU - Alexander, Jason

N1 - This is the author’s version of a work that was accepted for publication in International Journal of Human-Computer Studies. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Human-Computer Studies, 132, 2019 DOI: 10.1016/j.ijhcs.2019.08.005

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Data transfer within and between desktop applications facilitates efficient data-centric tasks on modern computer operating systems. This data can be transferred via the clipboard (cut, copy, paste) or through more direct drag-and-drop actions. This paper presents results gathered during a 90-day longitudinal log study of 17 participants’ clipboard and drag-and-drop interactions. The paper characterises the frequency, time and type of actions, interaction mechanism, and whether the users’ computer configuration affects these findings. We found clipboard operations are more common than drag-and-drop operations (and drag-and-drop is rarely used by some participants), most data transfer occurs on the same screen for multi-screen users, clipboard and drag-and-drop operations are used for different applications and the applications used for clipboard operations align with previously reported results.

AB - Data transfer within and between desktop applications facilitates efficient data-centric tasks on modern computer operating systems. This data can be transferred via the clipboard (cut, copy, paste) or through more direct drag-and-drop actions. This paper presents results gathered during a 90-day longitudinal log study of 17 participants’ clipboard and drag-and-drop interactions. The paper characterises the frequency, time and type of actions, interaction mechanism, and whether the users’ computer configuration affects these findings. We found clipboard operations are more common than drag-and-drop operations (and drag-and-drop is rarely used by some participants), most data transfer occurs on the same screen for multi-screen users, clipboard and drag-and-drop operations are used for different applications and the applications used for clipboard operations align with previously reported results.

KW - Clipboard

KW - Copy-and-paste

KW - Drag-and-drop

KW - Desktop interaction

KW - Data transfer

KW - Multiple screens

U2 - 10.1016/j.ijhcs.2019.08.005

DO - 10.1016/j.ijhcs.2019.08.005

M3 - Journal article

VL - 132

SP - 112

EP - 120

JO - International Journal of Human-Computer Studies

JF - International Journal of Human-Computer Studies

SN - 1071-5819

ER -