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Research Article

Opposite effects of emotion and event segmentation on temporal order memory and object-context binding

ORCID Icon, ORCID Icon, , &
Received 09 Jan 2023, Accepted 04 Sep 2023, Published online: 26 Oct 2023

Figures & data

Figure 1. Schematic of experimental procedure. Encoding task with sequentially presented grey-scale objects and experimental manipulation of 2 factors: event segmentation (changes of the frame colour) and emotion (neutral or aversive sound). Temporal order memory test administered immediately after each of 14 lists. Surprise object-colour test administered at the end of the experiment, after all 14 lists of encoding and temporal order memory tests.

Figure 1. Schematic of experimental procedure. Encoding task with sequentially presented grey-scale objects and experimental manipulation of 2 factors: event segmentation (changes of the frame colour) and emotion (neutral or aversive sound). Temporal order memory test administered immediately after each of 14 lists. Surprise object-colour test administered at the end of the experiment, after all 14 lists of encoding and temporal order memory tests.

Figure 2. (a) Pleasantness rate (% of “pleasant” ratings) as a function of event segmentation (nonboundary vs. boundary) and emotion (neu – paired with a neutral sound, emo – paired with an aversive sound); (b) Temporal order memory as a function of event segmentation (within-event vs. across-event) and emotion (neu – spanning neutral sounds, emo – spanning an aversive sound); (c) Object-colour memory (for objects correctly recognized as “old” = cond) as a function of event segmentation (nonboundary vs. boundary) and emotion (neu – paired with a neutral sound, emo – paired with an aversive sound); error bars represent one SD, dots represent individual subjects’ scores; ∗ p < .05, ∗∗ p < .005.

Figure 2. (a) Pleasantness rate (% of “pleasant” ratings) as a function of event segmentation (nonboundary vs. boundary) and emotion (neu – paired with a neutral sound, emo – paired with an aversive sound); (b) Temporal order memory as a function of event segmentation (within-event vs. across-event) and emotion (neu – spanning neutral sounds, emo – spanning an aversive sound); (c) Object-colour memory (for objects correctly recognized as “old” = cond) as a function of event segmentation (nonboundary vs. boundary) and emotion (neu – paired with a neutral sound, emo – paired with an aversive sound); error bars represent one SD, dots represent individual subjects’ scores; ∗ p < .05, ∗∗ p < .005.

Figure 3. (a) Pleasantness rate (% of “pleasant” ratings) as a function of event segmentation (nonboundary vs. boundary) and oddballness (neu – paired with a neutral sound, neu2 – paired with an oddball neutral sound); (b) Temporal order memory as a function of event segmentation (within-event vs. across-event) and oddballness (neu – spanning neutral sounds, neu2 – spanning an oddball sound); (c) Object-colour memory (for objects correctly recognized as “old” = cond) as a function of event segmentation (nonboundary vs. boundary) and oddballness (neu – paired with a neutral sound, neu2 – paired with an oddball sound); error bars represent one SD, dots represent individual subjects’ scores; ∗∗ p < .005, ∗∗∗ p < .001.

Figure 3. (a) Pleasantness rate (% of “pleasant” ratings) as a function of event segmentation (nonboundary vs. boundary) and oddballness (neu – paired with a neutral sound, neu2 – paired with an oddball neutral sound); (b) Temporal order memory as a function of event segmentation (within-event vs. across-event) and oddballness (neu – spanning neutral sounds, neu2 – spanning an oddball sound); (c) Object-colour memory (for objects correctly recognized as “old” = cond) as a function of event segmentation (nonboundary vs. boundary) and oddballness (neu – paired with a neutral sound, neu2 – paired with an oddball sound); error bars represent one SD, dots represent individual subjects’ scores; ∗∗ p < .005, ∗∗∗ p < .001.
Supplemental material

Supplemental Material

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Data availability statement

All data necessary to verify, interpret and extend published research will be freely available through a dedicated repository: https://osf.io/g2xer/?view_only=7417395df7ae421e88f30798e13afc8d.