2017
DOI: 10.1111/nyas.13353
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Neurocognitive mechanisms of real‐world autobiographical memory retrieval: insights from studies using wearable camera technology

Abstract: In recent years, investigation into the cognitive and neural mechanisms of autobiographical memory has been aided by the use of experimental paradigms incorporating wearable camera technology. By effortlessly capturing first-person images of one's life events, these cameras provide a rich set of naturalistic stimuli that can later be used to trigger the recall of specific episodes. Here, we chronicle the development and progression of such studies in behavioral and neuroimaging examinations of both clinical an… Show more

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Cited by 62 publications
(65 citation statements)
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“…For instance, participants may perform a series of planned activities while taking a walk following a specified route, and then verbally describe the details of the walk [40]. Portable devices such as smartphones or wearable cameras are often used to record these real-world experiences online, which in turn can be used as retrieval cues [41]. Unlike traditional autobiographical memory studies, these types of studies of real-life memory allow experimenters to at least partially access and control to-be-remembered events, making it easier to assess the objective accuracy of the memories and compare items across individuals.…”
Section: Box 3: Real-life Experience As Narrativementioning
confidence: 99%
“…For instance, participants may perform a series of planned activities while taking a walk following a specified route, and then verbally describe the details of the walk [40]. Portable devices such as smartphones or wearable cameras are often used to record these real-world experiences online, which in turn can be used as retrieval cues [41]. Unlike traditional autobiographical memory studies, these types of studies of real-life memory allow experimenters to at least partially access and control to-be-remembered events, making it easier to assess the objective accuracy of the memories and compare items across individuals.…”
Section: Box 3: Real-life Experience As Narrativementioning
confidence: 99%
“…Behavioral analysis was carried out using a linear mixed model analysis in R (LME4 package v1. [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Four factors "Training", "Scan", "Group" and "Gender" were modelled as fixed effects and "Subject" as a random effect to account for individual intercepts.…”
mentioning
confidence: 99%
“…Retrieving naturalistic stimuli, such as autobiographical event episodes, requires exploration through a wide search space, the integration of information across multiple time scales, and the activation of self-referential processes and vividness that typically accompany the successful retrieval of ones' past (Cabeza et al, 2004;Chen & Caplan, 2017;Chow & Rissman, 2017;Gilboa et al, 2004;McDermott et al, 2009;Roediger & McDermott, 2013).…”
Section: Discussionmentioning
confidence: 99%
“…However, the vast majority of behavioral and neuroimaging studies of episodic retrieval have used laboratory encoded stimuli, such as words or pictures, as memory probes. While such stimuli provide researchers with tight experimental control over the perceptual qualities, exposure duration, and retention interval of the events being tested, laboratory stimuli lack the richness of most real-world experiences (Chow & Rissman, 2017;Chow et al, 2018;Diamond & Levine, 2020;Nielson et al, 2015;St. Jacques et al, 2011).…”
Section: Introductionmentioning
confidence: 99%