The change probability effect: Incidental learning, adaptability, and shared visual working memory resources

Lamsweerde, Amanda E. van; Beck, Melissa R.

doi:10.1016/j.concog.2011.09.003

Cited by 13 publications

(21 citation statements)

References 68 publications

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“…Future research could explore these possibilities and determine the selection mechanism in more detail. This could be done, for example, using post-experimental questionnaires asking participants for their strategies (van Lamsweerde & Beck, 2011) or by inducing a preference to one or the other hemifield through cues (Zhang & Luck, 2008) or incentives (Klyszejko, Rahmati, & Curtis, 2014). Alternatively, a whole-report change detection task could be used that probes each item in the visual field and thus allows to determine the working memory accuracy for all items in the visual field (Adam, Vogel, & Awh, 2017), providing a more direct measure for encoding strategies in unbalanced displays.…”

Section: How Do Individuals Sample Targets From Both Hemifields Intmentioning

confidence: 99%

Neural measures of working memory in a bilateral change detection task

Feldmann-Wüstefeld

2020

Psychophysiology

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Visual working memory describes the ability to maintain visual information over short periods of time. This is a crucial function of the visual system as it allows to retrieve and manipulate information not currently present to the senses. Studies of change blindness illustrated severe limitations of working memory processes (e.g., Simons & Levin, 1997) and inspired research that tried to pinpoint the properties of working memory. One fundamental property of working memory is its limited capacity (

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Section: How Do Individuals Sample Targets From Both Hemifields Intmentioning

confidence: 99%

Neural measures of working memory in a bilateral change detection task

Feldmann-Wüstefeld

2020

Psychophysiology

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“…Previous data suggest that it is possible to ignore task-irrelevant features and selectively encode only the task-relevant features into VWM (Kondo & Saiki, 2012; van Lamsweerde & Beck, 2011; Woodman & Vogel, 2008). This suggests that the preferential use of a grouping strategy should be under top-down control.…”

Section: Methodsmentioning

confidence: 99%

Visual working memory organization is subject to top-down control

2015

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The limited capacity of visual working memory (VWM) can be maximized by combining multiple features into a single representation through grouping principles such as connection, proximity, and similarity. In this study, we sought to understand how VWM organizes information by investigating how connection and similarity cues are used either alone or in the presence of another grouping cue. Furthermore, we examined whether the use of one cue over another is within volitional control. Participants remembered displays of objects that contained no grouping cues, connection cues only, similarity cues only, or both connection and similarity cues. We found that it is possible to use either connection or similarity cues, although connection cues tend to dominate if cues are in conflict with one another. However, it is possible to flexibly use either similarity or connection cues if both are present, depending on the task goals.

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“…Given the importance of attention in change detection (Rensink et al, 1997;Wolfe et al, 2006), it seems plausible that attention may also play a role in mediating change interference effects (Rensink, 2000). It could be that change interference occurs in a manner akin to the contingent capture effects found in cued visual search tasks and associated with goal-directed manipulations of feature-selective attention (Folk, et al 1992;Folk, Remington & Wright, 1994;Lien et al 2008).,It is established that feature-selective attention is also a relevant factor in change detection: taskrelevant changes tend to be noticed more when the observer is focused on the dimension on which it occurs (van Lamsweerde & Beck, 2011;Pilling & Barrett, 2016;Niklaus, Nobre & van Ede, 2017).…”

Section: Change Perception and Change Interferencementioning

confidence: 99%

Change perception and change interference within and across feature dimensions

Pilling

Barrett

2018

Acta Psychologica

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The ability to perceive a change in a visual object is reduced when that change is presented in competition with other changes which are task-irrelevant. We performed two experiments which investigate the basis of this change interference effect. We tested whether change interference occurs as a consequence of some form of attentional capture, or whether the interference occurs at a stage prior to attentional selection of the task-relevant change. A modified probe-detection task was used to explore this issue. Observers were required to report the presence/absence of a specified change-type (colour, shape) in the probe, in a context in which - on certain trials - irrelevant changes occur in non-probe items. There were two key variables in these experiments: the attentional state of the observer, and the dimensional congruence of changes in the probe and non-probe items. Change interference was strongest when the irrelevant changes were the same as those on the report dimension. However the interference pattern persisted even when observers did not know the report dimension at the time the changes occurred. These results seem to rule out attention as a factor. Our results fit best with an interpretation in which change interference produces feature-specific sensory noise which degrades the signal quality of the target change.

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The change probability effect: Incidental learning, adaptability, and shared visual working memory resources

Cited by 13 publications

References 68 publications

Neural measures of working memory in a bilateral change detection task

Neural measures of working memory in a bilateral change detection task

Visual working memory organization is subject to top-down control

Change perception and change interference within and across feature dimensions

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