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The version used for the RF_TMS project, modified from the TIST_stable_Pavlovia_v1

Open sourced Implicit Association Test (IAT) as a demonstration. This version will run locally in PsychoPy (mouse input) or online (including touchscreen input)

The Choice Reaction Time Task (Deary & Liewald, 2011)

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

Sustained Attention to Response Time Task (SART)

This SART task is modeled on the framework used in The Irish Longitudinal Study on Ageing (TILDA)

Participants must press a button (mouse or onscreen) in response to a series of digits and withold responses on the number 3)

Each digit appears for 300ms, with an interval of 800ms between digits. The cycle of digits 1–9 is repeated 23 times, giving a total of 207 trials. The task lasts approximately for 4min

Citations

Robertson I. H. Manly T. Andrade J. Baddeley B. T. Yiend J . (1997). ‘Oops!’: Performance correlates of everyday attentional failures in traumatic brain injured and normal subjects. Neuropsychologia, 35, 747–758. doi:S0028-3932(97)00015-8 [pii]

Aisling M. O’Halloran, Ciaran Finucane, George M. Savva, Ian H. Robertson, Rose Anne Kenny, Sustained Attention and Frailty in the Older Adult Population, The Journals of Gerontology: Series B, Volume 69, Issue 2, March 2014, Pages 147–156, https://doi.org/10.1093/geronb/gbt009

Welcome to the Facial Emotion Detection Task. To maintain your anonymity do not enter your real name below.

The task may take up to 5 minutes to load. Your patience is appreciated.

Parametric Go No/Go Stop with Shapes 2target, 3 target, 6 blocks

In this task participants are required to sort the presented cards based on a rule. The rule is unknown to the participants, however they receive feedback whether their answer was correct. The rule changes after certain amount of trials. This experiment is based on Grant & Berg (1948) experiment.

Multicultural faces Cows instead of primates Faces first then animals