Abstract
When reflecting on the past, some of our strongest memories are for experiences that took us by surprise. Extensive research has backed this intuition that we are more likely to remember surprising moments than mundane ones. But what about the moments leading up to the surprise? Are we more likely to remember those as well? While surprise is a well-established modulator of memory, it is unknown whether memory for the entire event will be enhanced, or only for the surprising occurrence itself. We developed a novel paradigm utilising stop-motion films, depicting of a sequence of narrative events, in which specific occurrences could be replaced with surprising ones, while keeping the rest of the film unaltered. Using this design, we tested whether surprise exerts retroactive effects on memory, and specifically whether any potential effect would be confined to elements in the same event as the surprising occurrence. In a large cohort of participants (n = 340), we found strong evidence that surprise did not retroactively modulate memory, neither when participants were tested immediately after study nor when they were tested 24 hours later. We suggest two possible accounts for these findings: (1) that the components of an event are encoded as independent episodic elements (not as a cohesive unit), or (2) that surprise segments experience, sectioning off the preceding elements as a separate event.
Original language | American English |
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Pages (from-to) | 1053-1064 |
Number of pages | 12 |
Journal | Psychonomic Bulletin and Review |
Volume | 29 |
Issue number | 3 |
DOIs | |
State | Published - Jun 2022 |
Externally published | Yes |
Bibliographical note
Funding Information:This work was supported by the UK Medical Research Council (SUAG/046 G101400), a Marie Curie Individual Fellowship (705108) awarded to A.B.Y., a Blavatnik Postdoctoral Fellowship awarded to A.B.Y., and a Dorothy Hodgkin Royal Society Fellowship (DHF\R1\191141) awarded to A.B.Y. We thank Alex Quent for statistical consultations and sharing his code for parallelisation of brms models, Johan Carlin for creating a reproducible environment to facilitate code sharing, and Richard Morey for statistical consultations.
Publisher Copyright:
© 2021, The Author(s).