Perceptual Load Theory: Resolving the Early vs Late Selection Debate
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This essay delves into perceptual load theory, a framework proposed by Nilli Lavie to explain selective attention and resolve the early versus late selection debate. The theory posits that attentional resources are limited, and the processing of stimuli depends on perceptual load, which can be low or high. When perceptual load is high, attentional capacity is exhausted, and irrelevant distractors are filtered out, aligning with early selection models. Conversely, low perceptual load allows for the processing of both targets and distractors, supporting late selection views. The essay explores the assumptions, criticisms, and experimental findings related to perceptual load theory, including its implications for understanding how we focus on relevant information and ignore irrelevant stimuli. It also discusses the theory's strengths in explaining selective attention and its weaknesses, such as the nebulous nature of perceptual load and alternative explanations like distractor salience. The essay concludes that perceptual load theory offers a valuable framework for understanding attention, although it is not the sole determinant of attentional selection.

Running head: PERCEPTUAL LOAD THEORY
Perceptual load theory
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1PERCEPTUAL LOAD THEORY
Perceptual load theory by Nilli Lavie presented potential resolution to the late and early
selection debate. From Lavie’s perspective, stimulus variation is explained in a way where
stimulus has low or high perceptual load. The theory holds the fact that observers can filter out
efficiently the irrelevant distractors when an individual is performing high level of perceptual
load (Lavie, 1995). Taking this into consideration, there is modulation of perceptual load
selectively by freezing or limiting processing capacity. This theory attempts to resolve the early
or late selection debate that varies on presented stimulus. Therefore, the following discussion
involves discussion of perceptual load theory finding selection in early and late model of
attention.
Perceptual load theory comprises of three main assumptions; there are limited attentional
resources within the capacity, before stimuli related to irrelevant task, there is processing of task-
relevant stimuli (Benoni & Tsal, 2013). When the load is high, there is exhaustion of capacity
and no available resources are left for the processing of irrelevant distractors. This fact holds true
as reverse mechanism happens for low load. This theory helps one to ignore irrelevant task and
focus on relevant tasks through the process of selective attention. Selective attention provides
ability to an individual to focus on important tasks that are in-hand and ignore or suppress
irrelevant information. As proposed by Broadbent, Filter Model proposes that information from
stimuli present at any point of time firstly enter sensory buffer providing early selection model.
Then, an input is selected based on physical characteristics for processing allowing it to pass
through filter (Zhang et al., 2013). As individuals have limited capacity to process information,
this filter prevent from overloading of information processing system. This concept led to the
foundation of perceptual load that is necessary for selective attention condition to occur and load
theory propose solution to long standing debate between early versus late selection.
Perceptual load theory by Nilli Lavie presented potential resolution to the late and early
selection debate. From Lavie’s perspective, stimulus variation is explained in a way where
stimulus has low or high perceptual load. The theory holds the fact that observers can filter out
efficiently the irrelevant distractors when an individual is performing high level of perceptual
load (Lavie, 1995). Taking this into consideration, there is modulation of perceptual load
selectively by freezing or limiting processing capacity. This theory attempts to resolve the early
or late selection debate that varies on presented stimulus. Therefore, the following discussion
involves discussion of perceptual load theory finding selection in early and late model of
attention.
Perceptual load theory comprises of three main assumptions; there are limited attentional
resources within the capacity, before stimuli related to irrelevant task, there is processing of task-
relevant stimuli (Benoni & Tsal, 2013). When the load is high, there is exhaustion of capacity
and no available resources are left for the processing of irrelevant distractors. This fact holds true
as reverse mechanism happens for low load. This theory helps one to ignore irrelevant task and
focus on relevant tasks through the process of selective attention. Selective attention provides
ability to an individual to focus on important tasks that are in-hand and ignore or suppress
irrelevant information. As proposed by Broadbent, Filter Model proposes that information from
stimuli present at any point of time firstly enter sensory buffer providing early selection model.
Then, an input is selected based on physical characteristics for processing allowing it to pass
through filter (Zhang et al., 2013). As individuals have limited capacity to process information,
this filter prevent from overloading of information processing system. This concept led to the
foundation of perceptual load that is necessary for selective attention condition to occur and load
theory propose solution to long standing debate between early versus late selection.

2PERCEPTUAL LOAD THEORY
Broadbent suggests that inputs are not selected initially by filter due to sensory buffer and
unprocessed leads to rapid decay rejecting unattended or non-shadowed message at early stage of
information processing. By contrast, Deutsch & Deutsch proposed late-selection model that all
information whether unattended or attended is analyzed for meaning select input for full
awareness, despite of the fact that information is selected or not depending upon relevancy at the
particular point of time. This theory explains the focused attention process in a simple manner
(Ferscha, 2014).
While proposing solution to debate of early/late selection, perceptual theory explains that
perception is a limited capacity process that is quite similar to early selection model proceeding
automatically until there is filling of capacity aligning with late selection models (Murphy,
Groeger & Greene, 2016). To explain this concept, a task that is imposing high perceptual load,
there is reaching of capacity and no processing of distractors resulting in performance being
consistent to early selection views. Similarly, when a task imposes low perceptual load, there is
processing of stimuli, targets and distractors necessitating the view of late selection model. On
the other hand, cognitive load like requirement of high working memory tasks result in failure of
late selection view (Eysenck & Keane, 2015).
For the long standing early versus late selection debate, a possible solution proposed by
Lavie assume that there is limited capacity of system incorporating findings of both late and
early selection views. In cases of low perceptual load, there is one target and distractor and there
is sparse processing capacity of non-target data. On a contrary, in cases of high perceptual load,
there is difficulty in identification of target tasks supporting early selection views as there is
spare or little available capacity (Wei, Kang & Zhou, 2013). The load theory shows strong
evidence supporting attenuation and early selection explaining that attention away from stimulus
Broadbent suggests that inputs are not selected initially by filter due to sensory buffer and
unprocessed leads to rapid decay rejecting unattended or non-shadowed message at early stage of
information processing. By contrast, Deutsch & Deutsch proposed late-selection model that all
information whether unattended or attended is analyzed for meaning select input for full
awareness, despite of the fact that information is selected or not depending upon relevancy at the
particular point of time. This theory explains the focused attention process in a simple manner
(Ferscha, 2014).
While proposing solution to debate of early/late selection, perceptual theory explains that
perception is a limited capacity process that is quite similar to early selection model proceeding
automatically until there is filling of capacity aligning with late selection models (Murphy,
Groeger & Greene, 2016). To explain this concept, a task that is imposing high perceptual load,
there is reaching of capacity and no processing of distractors resulting in performance being
consistent to early selection views. Similarly, when a task imposes low perceptual load, there is
processing of stimuli, targets and distractors necessitating the view of late selection model. On
the other hand, cognitive load like requirement of high working memory tasks result in failure of
late selection view (Eysenck & Keane, 2015).
For the long standing early versus late selection debate, a possible solution proposed by
Lavie assume that there is limited capacity of system incorporating findings of both late and
early selection views. In cases of low perceptual load, there is one target and distractor and there
is sparse processing capacity of non-target data. On a contrary, in cases of high perceptual load,
there is difficulty in identification of target tasks supporting early selection views as there is
spare or little available capacity (Wei, Kang & Zhou, 2013). The load theory shows strong
evidence supporting attenuation and early selection explaining that attention away from stimulus
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3PERCEPTUAL LOAD THEORY
reduce brain signal intensity. On a contrary, Driver (2001) was in favor of late selection view
stating that attention is complex mechanism involving gray matter and bottom-up processes.
Therefore, it cannot be represented through simple processes of early selection explanations.
Moreover, Triesman’s attenuation theory also states that late selection model is appropriate as
compared early selection views.
Despite of being a milestone in attention research, there are valid criticism and issues
surrounding perceptual load theory. The criticism lies in the concept of nebulous nature of
“perceptual load”. This concept is explained by paradigms like distractor/target similarity or set
size manipulations. Dilution is an alternate theory or explanation for result patterns obtained
under perceptual load theory (Yeh & Lin, 2013). In case of Lavie’s experiments, manipulation of
load can be done through varying items displayed. In case of low load, interfering distractor
presentation is alone as high load may be presented by other distractors. This fact is argued by
Tsal for the both instances, where there is processing of distraction to same degree, however in
high load, distractor is diluted causing interference and neutral stimuli presence (Murphy,
Groeger & Greene, 2016). Another criticism provided by object-based attention suggests that
distractor is related to target where high perceptual load actually increases interference of
distractor (Cosman & Vecera, 2012). The strength of load theory is that it helps to explain
selective attention stating that selection would operate early when perception load is high and
operates late when perception load is low. For example, load theory can be used to study sleep
deprivation induced changes in visual information processing. The weakness of this theory lays
in fact that prominence or salience of distractor is primary factor inducing results instead of
concept of load as presented by Distractor Salience. Attentional Zoom Theory by Chen and
reduce brain signal intensity. On a contrary, Driver (2001) was in favor of late selection view
stating that attention is complex mechanism involving gray matter and bottom-up processes.
Therefore, it cannot be represented through simple processes of early selection explanations.
Moreover, Triesman’s attenuation theory also states that late selection model is appropriate as
compared early selection views.
Despite of being a milestone in attention research, there are valid criticism and issues
surrounding perceptual load theory. The criticism lies in the concept of nebulous nature of
“perceptual load”. This concept is explained by paradigms like distractor/target similarity or set
size manipulations. Dilution is an alternate theory or explanation for result patterns obtained
under perceptual load theory (Yeh & Lin, 2013). In case of Lavie’s experiments, manipulation of
load can be done through varying items displayed. In case of low load, interfering distractor
presentation is alone as high load may be presented by other distractors. This fact is argued by
Tsal for the both instances, where there is processing of distraction to same degree, however in
high load, distractor is diluted causing interference and neutral stimuli presence (Murphy,
Groeger & Greene, 2016). Another criticism provided by object-based attention suggests that
distractor is related to target where high perceptual load actually increases interference of
distractor (Cosman & Vecera, 2012). The strength of load theory is that it helps to explain
selective attention stating that selection would operate early when perception load is high and
operates late when perception load is low. For example, load theory can be used to study sleep
deprivation induced changes in visual information processing. The weakness of this theory lays
in fact that prominence or salience of distractor is primary factor inducing results instead of
concept of load as presented by Distractor Salience. Attentional Zoom Theory by Chen and
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4PERCEPTUAL LOAD THEORY
Cave also provided an alternative to laod theory results where processing of distractors takes
place that is within attentional focus of an individual (Chen & Cave, 2016).
From the above discussion, it can be concluded that perceptual load theory accepts early
selection model to great extent as compared to late selection model. However, through
experimental findings, it was found that hypothesis proposed by perceptual load analysis is
simple and not only the one single determinant for the attention selection process. It is difficult in
applying load hypothesis in explaining the early selection occurrence in low load display as well
as selecting processes operating on target stimuli and distractor becoming a part of same object.
Therefore, display of perceptual load is not only one factor affecting early/late selection attention
and provides a major milestone in attention research.
Cave also provided an alternative to laod theory results where processing of distractors takes
place that is within attentional focus of an individual (Chen & Cave, 2016).
From the above discussion, it can be concluded that perceptual load theory accepts early
selection model to great extent as compared to late selection model. However, through
experimental findings, it was found that hypothesis proposed by perceptual load analysis is
simple and not only the one single determinant for the attention selection process. It is difficult in
applying load hypothesis in explaining the early selection occurrence in low load display as well
as selecting processes operating on target stimuli and distractor becoming a part of same object.
Therefore, display of perceptual load is not only one factor affecting early/late selection attention
and provides a major milestone in attention research.

5PERCEPTUAL LOAD THEORY
References
Benoni, H., & Tsal, Y. (2013). Conceptual and methodological concerns in the theory of
perceptual load. Frontiers in Psychology, 4, 522.
Chen, Z., & Cave, K. R. (2016). Zooming in on the cause of the perceptual load effect in the
go/no-go paradigm. Journal of experimental psychology: human perception and
performance, 42(8), 1072.
Cosman, J. D., & Vecera, S. P. (2012). Object-based attention overrides perceptual load to
modulate visual distraction. Journal of Experimental Psychology: Human Perception and
Performance, 38(3), 576.
Driver, J. (2001). A selective review of selective attention research from the past century. British
Journal of Psychology, 92(1), 53-78.
Eysenck, M...W.. & Keane, M...T... (2015). Cognitive psychology: a student’s handbook.. (7th
ed.). Hove: Psychology Press. pp. 166-168.
Ferscha, A., 2014. Attention, please!. IEEE Pervasive Computing, 13(1), pp.48-54.
Lavie, N. (1995). Perceptual load as a necessary condition for selective attention. Journal of
Experimental Psychology: Human perception and performance, 21(3), 451.
Murphy, G., Groeger, J. A., & Greene, C. M. (2016). Twenty years of load theory—Where are
we now, and where should we go next?. Psychonomic bulletin & review, 23(5), 1316-
1340.
References
Benoni, H., & Tsal, Y. (2013). Conceptual and methodological concerns in the theory of
perceptual load. Frontiers in Psychology, 4, 522.
Chen, Z., & Cave, K. R. (2016). Zooming in on the cause of the perceptual load effect in the
go/no-go paradigm. Journal of experimental psychology: human perception and
performance, 42(8), 1072.
Cosman, J. D., & Vecera, S. P. (2012). Object-based attention overrides perceptual load to
modulate visual distraction. Journal of Experimental Psychology: Human Perception and
Performance, 38(3), 576.
Driver, J. (2001). A selective review of selective attention research from the past century. British
Journal of Psychology, 92(1), 53-78.
Eysenck, M...W.. & Keane, M...T... (2015). Cognitive psychology: a student’s handbook.. (7th
ed.). Hove: Psychology Press. pp. 166-168.
Ferscha, A., 2014. Attention, please!. IEEE Pervasive Computing, 13(1), pp.48-54.
Lavie, N. (1995). Perceptual load as a necessary condition for selective attention. Journal of
Experimental Psychology: Human perception and performance, 21(3), 451.
Murphy, G., Groeger, J. A., & Greene, C. M. (2016). Twenty years of load theory—Where are
we now, and where should we go next?. Psychonomic bulletin & review, 23(5), 1316-
1340.
⊘ This is a preview!⊘
Do you want full access?
Subscribe today to unlock all pages.

Trusted by 1+ million students worldwide

6PERCEPTUAL LOAD THEORY
Wei, P., Kang, G., & Zhou, X. (2013). Attentional selection within and across hemispheres:
Implications for the perceptual load theory. Experimental brain research, 225(1), 37-45.
Yeh, Y. Y., & Lin, S. H. (2013). Two mechanisms of distractor dilution: Visual selection in a
continuous flow. Journal of experimental psychology: human perception and
performance, 39(3), 872.
Zhang, H., Lin, H., Li, Y., & Zhang, Y. (2013). Feature extraction for high-resolution imagery
based on human visual perception. International journal of remote sensing, 34(4), 1146-
1163.
Wei, P., Kang, G., & Zhou, X. (2013). Attentional selection within and across hemispheres:
Implications for the perceptual load theory. Experimental brain research, 225(1), 37-45.
Yeh, Y. Y., & Lin, S. H. (2013). Two mechanisms of distractor dilution: Visual selection in a
continuous flow. Journal of experimental psychology: human perception and
performance, 39(3), 872.
Zhang, H., Lin, H., Li, Y., & Zhang, Y. (2013). Feature extraction for high-resolution imagery
based on human visual perception. International journal of remote sensing, 34(4), 1146-
1163.
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