Eyewitness memory: The impact of a negative mood during encoding and/or retrieval upon recall of a non-emotive event

Thorley, Craig; Dewhurst, Stephen A.; Abel, Joseph W.; Knott, Lauren M.

doi:10.1080/09658211.2015.1058955

Cited by 11 publications

(3 citation statements)

References 48 publications

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“…Also, Bäuml and Kuhbandner (2007) found that participants with a negative mood experienced less memory interference and showed better memory. Similar observations were made with regards to eyewitness testimony (Thorley, Dewhurst, Abel, & Knott, 2016).…”

supporting

confidence: 78%

Modulation of mood on eye movement and face recognition performance.

Hsiao

2021

Emotion

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In face recognition, looking at the eyes has been associated with engagement of local attention, as well as better recognition performance. As recent research has suggested negative mood facilitates local attention while positive mood facilitates global attention, negative mood changes may lead to more eyes-focused eye movement patterns and consequently enhance recognition performance. Here we test this hypothesis using mood induction. Through eye movement analysis with hidden Markov models, we discovered eyes-focused and nose-focused eye movement strategies in the participants, and the eyes-focused strategy was associated with better recognition performance. During the recognition phase, participants with a negative mood change had increased eye movement pattern similarity to the eyes-focused strategy, and participants’ mood change was correlated with eye movement pattern similarity change. Nevertheless, mood change did not significantly change participants’ eye movement strategy classification despite changes in eye movement pattern similarity, and the eye movement pattern similarity change did not modulate recognition performance. These results suggest that mood changes through mood induction lead to slight changes in eye movement pattern that may not be sufficient to modulate recognition performance. Thus, individuals may have preferred eye movement strategies in face recognition impervious to transitory mood changes. This finding is consistent with a recent speculation on limited plasticity in adult face recognition and suggests that eye movements in face recognition may provide reliable information about an individual’s cognitive abilities.

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supporting

confidence: 78%

Modulation of mood on eye movement and face recognition performance.

Hsiao

2021

Emotion

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“…One could assume that this finding would generalize to other associations between the Ladder and other variables and conclude that researchers interested in subjective wellbeing, in particular in the associations between different demographic factors and wellbeing, could rely on MTurk samples without much concern. On the other hand, the observation that the MTurk respondents have considerably lower levels of evaluative subjective well-being could impact other types of research, such as studies focused on recall of negatively valenced events or cognitive processing tasks, which can be influenced by negative affect (Egidi & Caramazza, 2014;Thorley, Dewhurst, Abel, & Knott, 2016).…”

Section: Discussionmentioning

confidence: 99%

MTurk participants have substantially lower evaluative subjective well-being than other survey participants

Stone

Walentynowicz

Schneider

et al. 2019

Computers in Human Behavior

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Amazon's MTurk platform has become a popular site for obtaining relatively inexpensive and convenient adult samples for use in behavioral research. Concerns have been raised about selection issues, because MTurk workers chose to participate in the platform and select the tasks they perform (of many offered to them). Prior studies have documented demographic and psychological differences with national samples. In this paper we studied evaluative subjective well-being (the Cantril Ladder) in an MTurk sample, a national Internet panel sample, and a national telephone survey conducted by Gallup-Sharecare. A surprising finding was that MTurk participants' Ladder scores were substantial lower than the other two samples. Analyses controlling for six demographic differences among the samples only slightly reduced the mean differences. However, patterns of demographic-well-being associations were similar within the samples. To corroborate these results, we conducted a secondary analysis on another three samples, one MTurk sample and two Internet panel samples. The same group differences in Ladder scores were observed. These findings add to the growing literature documenting the characteristics of MTurk samples and we discuss the implications for future research with such samples.

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“…Specifically, mood dependence has been shown to be strengthened with freerecall tasks that place greater reliance on participants' internal contextual resources (i.e., mood) as opposed to external cues, allowing participants to generate their own target events during encoding (generative encoding), and providing longer delays between encoding and retrieval (Eich, 1995;Forgas & Eich, 2012). Recent empirical demonstrations of mood-dependent memory have further improved confidence in the reliability and validity of demonstrating this phenomenon in the lab (Thorley et al, 2016;Xie & Zhang, 2018).…”

Section: Mood and Memorymentioning

confidence: 99%

Mood-congruent memory revisited.

Faul¹,

LaBar²

2023

Psychological Review

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Affective experiences are commonly represented by either transient emotional reactions to discrete events or longer term, sustained mood states that are characterized by a more diffuse and global nature. While both have considerable influence in shaping memory, their interaction can produce mood-congruent memory (MCM), a psychological phenomenon where emotional memory is biased toward content affectively congruent with a past or current mood. The study of MCM has direct implications for understanding how memory biases form in daily life, as well as debilitating negative memory schemas that contribute to mood disorders such as depression. To elucidate the factors that influence the presence and strength of MCM, here we systematically review the literature for studies that assessed MCM by inducing mood in healthy participants. We observe that MCM is often reported as enhanced accuracy for previously encoded mood-congruent content or preferential recall for mood-congruent autobiographical events, but may also manifest as false memory for mood-congruent lures. We discuss the relevant conditions that shape these effects, as well as instances of mood-incongruent recall that facilitate mood repair. Further, we provide guiding methodological and theoretical considerations, emphasizing the limited neuroimaging research in this area and the need for a renewed focus on memory consolidation. Accordingly, we propose a theoretical framework for studying the neural basis of MCM based on the neurobiological underpinnings of mood and emotion. In doing so, we review evidence for associative network models of spreading activation, while also considering alternative models informed by the cognitive neuroscience literature of emotional memory bias.

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Eyewitness memory: The impact of a negative mood during encoding and/or retrieval upon recall of a non-emotive event

Cited by 11 publications

References 48 publications

Modulation of mood on eye movement and face recognition performance.

Modulation of mood on eye movement and face recognition performance.

MTurk participants have substantially lower evaluative subjective well-being than other survey participants

Mood-congruent memory revisited.

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