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The present study aimed to investigate the affect-cognition interplay in young and older adults by studying prospective memory (PM), the realisation of delayed intentions. While most previous studies on the topic were conducted in the laboratory, we examined the influence of naturally occurring affect on PM tasks carried out in participants' everyday lives. For seven consecutive days, participants were asked to rate their affective state nine times per day and send text messages either at specific times (time-based PM) or when a particular event occurred (event-based PM). Results showed that within-participants changes in valence from more positive to more negative affect were associated with decreased PM performance. This was similarly true for young and older adults. The design used allowed linkage of within-participants fluctuations of affect and cognitive functions, constituting a methodological advancement. Results suggest that positive affect has the potential to improve cognitive functioning in everyday life.
We analyze the relations between ethnographic data and theory through an examination of materiality in research practices, arguing that data production is a form of material theorizing. This entails reviewing and (re-)applying practice-theoretical discussions on materiality to questions of ethnography, and moving from understanding theory primarily as ideas to observing theorizing in all steps of research practice. We introduce “pocketing” as a heuristic concept to analyze how and when ethnographic data materializes: the concept defines data’s materiality relationally, through the affective and temporal dimensions of practice. It is discussed using two examples: in a study on everyday architectural experience where ethnographic data materialized as bodies affected by architecture; and in a study on digital cooperation where research data’s materialization was distributed over time according to the use of a company database. By conceptualizing data’s materiality as practice-bound, “pocketing” facilitates understanding the links between data and theory in ethnographic data production.