International audienceThe research findings provide evidence that time-oriented data visualizations can contribute to faster information processing, bet-ter understanding and improved recall. Thus, they are used in many application domains – medicine, law enforcement, traffic and navigation control to name but a few. Simultaneously, human's time perception varies depending inter alia on culture, language, personal experience and situational factors. Although, the differences caused by the aforemen-tioned aspects were acknowledged and addressed in the Human Com-puter Interaction (HCI) field for decades their impact on time-oriented data visualizations was largely neglected. To fill this gap, we investigate the influence of time spatializations (or-ganization of time along axes) on the response time and accuracy of inferences based on time-oriented data visualizations. Moreover, we ex-amine users' preferences toward different time arrangements. Our find-ings show that user-adapted organization of time along axes can speed up the decision-making process and increase the user experience
