Or scan your own task

CancellationTools: All-in-One Software to Collect and Analyse Multi-Target Visual Search Data Edwin S. Dalmaijera, Stefan van der Stigchelb, Tanja C.W. Nijboerb,c, Tim H.W. Cornelissenb, & Masud Husaina,d a Experimental Psychology, University of Oxford, b Helmholtz Institute, Utrecht University, c Rudolf Magnus Institute & Rehabilitation Centre De Hoogstraat, University Medical Centre Utrecht, d Nuffield Dept. of Clinical Neuroscience, University of Oxford

run all cancellation tasks

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Cancellation tests require participants to search for and cross out targets (circles with an opening on top, in the example below), while ignoring distractor stimuli.

Scan the QR code, or visit our website: www.CancellationTools.org

Customizable test properties: - input type (touch screen or mouse) - cancellation marking visibility - target and background colour - target and distractor properties

Or

scan your own task

complete and automated analysis

open source

Analyse individual or group data with the click of a button. The fully automated process calculates almost every known index of cancellation performance (summarized below). The outcome is stored in an A4-sized PDF (useful for clinical testing) and a machine-readable text file (directly importable into spreadsheet editors, SPSS, or a programming language).

CancellationTools is released under the GNU General Public License, ensuring it will always be free and open to everyone.

neglect search organisation centre of cancellation inter-cancellation distance omissions per half inter-cancellation angle path intersection rate best R

performance working memory inter-cancellation time immediate revisits search speed delayed revisits time-on-task Q score

The source code is available from GitHub: https://github.com/esdalmaijer/CancellationTools

A cancellation path gives a full account of a patient's search behaviour.

Search organisation can be indexed by the standardised angle and the best R (correlation between horizontal/vertical position of a cancelled target and its cancellation rank number). best R = 0.88 std. angle = 1.00 std. distance = 1.00 M distance = 100 px best R = 0.88 std. angle = 1.00 std. distance = 1.00 M distance = 300 px

A superimposed heatplot (cancellations) reveals biases of spatial attention.

We collected and devised indices that are independent of task properties, to allow for performance comparisons across tasks.

omissions

cancellations

high-quality data visualisation

healthy (N = 10)

neglect (N = 10)

Heatmap averages provide a visualisation of biases of spatial attention in a sample. Plot intensities are scaled to the theoretical task maximum, and comparable across individuals.

partners and sponsors

supported platforms

CancellationTools was developed at the University of Oxford, in collaboration with Utrecht University. It is supported through the Individualised Diagnostics & Rehabilitation of Attention Disorders (INDIREA) project, sponsored by the European Commission. For more information, please visit www.indirea.eu.

Currently, a standalone version is available for Windows, and a version for Android is on its way. We are also planning on creating versions for Mac OS X and Linux. If you can't wait for those, it is perfectly possible to run the CancellationTools code from source using Python. Additionally, you can run tasks from our website, www.cancellationtools.org, although you will still need a standalone version to analyse the data.

[email protected]

@esdalmaijer