Task adaptation, characterized by a progressive increase in speed throughout experimental trials, has been extensively observed across various paradigms. Yet, the underlying mechanisms driving this phenomenon remain unclear. According to the learning-based explanation, participants are implicitly learning, becoming more proficient over time. Conversely, a motivation-based view suggests that participants’ drive wanes gradually, prompting quicker pace and reduced task engagement. These explanations offer distinct predictions. The learning-based view anticipates not only accelerated speed but also improved response accuracy. In contrast, the motivation-based view assumes that participants lose their focus, their pace increases, but their response accuracy tends to decline. The present study tests these implications in a series of six self-paced reading experiments investigating the interplay between reaction times, immediate recall, and trial order. Robust learning effects are documented. Participants not only read progressively faster during the experiments, but they also get better in responding. Moreover, an analysis of recall accuracy reveals systematic differences between different types of information, with nouns yielding substantially higher recall accuracy than adjectives. These findings are explained through attentional mechanisms: prolonged processing of specific words correlates with improved recall. Furthermore, the differential recall patterns are modulated by the task’s question structure, with adjectives recalled more effectively in experiments with a higher proportion of adjective-targeting questions. This underscores participants’ strategic allocation of attention to sentence components deemed crucial for task performance, highlighting the dynamic interplay between learning, motivation, and attentional mechanisms in task adaptation.

Number agreement attraction in comprehension has been extensively studied in various languages and it has been claimed that attraction effects are generally present across languages. In this paper, four experiments on Czech are presented, each examining a different structure. The Bayesian hierarchical models and Bayes factor analysis pointed towards no agreement attraction effects in three of the experiments. Only in one experiment an effect interpretable as signaling agreement attraction was observed. Its size, however, was so small that it did not translate into a clear preference for models with agreement attraction. The data from the four experiments were further compared to available data from several other languages (English, Armenian, Arabic, and Spanish). The emerging picture is that in Czech, agreement attraction effects are negligible in size if they appear at all. This presents a serious challenge to current theoretical explanations of agreement attraction effects.