Window Watcher: A visualisation tool for understanding windowing activities

Susanne Tak; Andy Cockburn

doi:10.1145/1738826.1738865

Window Watcher: A visualisation tool for understanding windowing activities

Susanne Tak^*, Andy Cockburn

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Almost all actions on a computer are mediated by windows, yet we know surprisingly little about how people coordinate their activities using these windows. Studies of window use are difficult for two reasons: gathering longitudinal data is problematic and it is unclear how to extract meaningful characterisations from the data. In this paper, we present a visualisation tool called Window Watcher that helps researchers understand and interpret low level event logs of window switching activities generated by our tool PyLogger. We describe its design objectives and demonstrate ways that it summarises and elucidates window use.

Original language	English
Title of host publication	Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09
Pages	241-248
Number of pages	8
Volume	411
DOIs	https://doi.org/10.1145/1738826.1738865
Publication status	Published - 2009
Externally published	Yes
Event	21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09 - Melbourne, VIC, Australia Duration: 23 Nov 2009 → 27 Nov 2009

Conference

Conference	21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09
Country/Territory	Australia
City	Melbourne, VIC
Period	23/11/09 → 27/11/09

Keywords

Data visualisation
Longitudinal analysis
Window management
Window switching

Access to Document

10.1145/1738826.1738865

Cite this

@inproceedings{b6e490d0adf84918960c560769db32ae,

title = "Window Watcher: A visualisation tool for understanding windowing activities",

abstract = "Almost all actions on a computer are mediated by windows, yet we know surprisingly little about how people coordinate their activities using these windows. Studies of window use are difficult for two reasons: gathering longitudinal data is problematic and it is unclear how to extract meaningful characterisations from the data. In this paper, we present a visualisation tool called Window Watcher that helps researchers understand and interpret low level event logs of window switching activities generated by our tool PyLogger. We describe its design objectives and demonstrate ways that it summarises and elucidates window use.",

keywords = "Data visualisation, Longitudinal analysis, Window management, Window switching",

author = "Susanne Tak and Andy Cockburn",

year = "2009",

doi = "10.1145/1738826.1738865",

language = "English",

isbn = "9781605588544",

volume = "411",

pages = "241--248",

booktitle = "Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09",

note = "21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09 ; Conference date: 23-11-2009 Through 27-11-2009",

}

Tak, S & Cockburn, A 2009, Window Watcher: A visualisation tool for understanding windowing activities. in Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09. vol. 411, pp. 241-248, 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09, Melbourne, VIC, Australia, 23/11/09. https://doi.org/10.1145/1738826.1738865

Window Watcher: A visualisation tool for understanding windowing activities. / Tak, Susanne; Cockburn, Andy.
Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group - Design: Open 24/7, OZCHI '09. Vol. 411 2009. p. 241-248.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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ER -

Window Watcher: A visualisation tool for understanding windowing activities

Abstract

Conference

Keywords

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