Does User's Fatigue Overweight the Effect of Practice?

Miroslav Macik and Adam J. Sporka


Human Compter Interaction, Cognitive Modeling, Fatigue Analysis, Usability Engineering


In this paper we describe a preliminary study in which we investigate whether for simple tasks the effect of the power law of practice (learning curve) would be overruled by the effect of fatigue. Our approach is based on the KLM method. Its predictions are compared with measured data. A new data collection tool was implemented as a Facebook application that allowed to perform a remote data collection and analysis of the user behavior. While the learning curve was identified in our data, the effect of fatigue was not confirmed.

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