How Do Users Adapt to a Faulty System? Misc

Ahmed Sabbir Arif, Wolfgang Stuerzlinger


We investigate how users gradually adapt to a faulty system and how the system error rate influences this adaptation process. We present results of a study that verifies that a user's learning rate to compensate for system errors depends on how erroneous that system is – they learn to avoid erroneous actions faster if errors occur more frequently.

Date of publication: May - 2012
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