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. 2017 Jun;6(2):111-120.
doi: 10.1016/j.jarmac.2016.11.002.

Event perception: Translations and applications

Lauren L Richmond  1 , David A Gold  2 , Jeffrey M Zacks  1
Affiliations

Event perception: Translations and applications

Lauren L Richmond et al. J Appl Res Mem Cogn. 2017 Jun.

Abstract

Event segmentation is the parsing of ongoing activity into meaningful events. Segmenting in a normative fashion-identifying event boundaries similar to others' boundaries-is associated with better memory for and better performance of naturalistic actions. Given this, a reasonable hypothesis is that interventions that improve memory and attention for everyday events could lead to improvement in domains that are important for independent living, particularly in older populations. Event segmentation and memory measures may also be effective diagnostic tools for estimating people's ability to carry out tasks of daily living. Such measures preserve the rich, naturalistic character of everyday activity, but are easy to quantify in a laboratory or clinical setting. Therefore, event segmentation and memory measures may be a useful proxy for clinicians to assess everyday functioning in patient populations and an appropriate target for interventions aimed at improving everyday memory and tasks of daily living.

Keywords: activities of daily living; event perception; everyday memory; intervention; rehabilitation; remediation.

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Figures

Figure 1
Figure 1
When perceptual input and predictions are closely matched, event models are stable. When an unanticipated change occurs, predictions and perceptual representations share few overlapping features, leading to a spike in prediction error (see grey highlight). This leads the event model to be reset and to allow inputs to the event models to be gated open (see grey highlight). Eventually, event models settle back into a stable state. Adapted from “Segmentation in the perception and memory of events” by C. A. Kurby & J. M. Zacks, 2008, Trends in Cognitive Science, 12(2), p. 73.
See this image and copyright information in PMC

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