Perceptual load theory

Perceptual load theory is a psychological theory of attention. It was presented by Nilli Lavie in the mid-nineties as a potential resolution to the early/late selection debate.[1][2]

This debate relates to the "cocktail party problem": how do people at a cocktail party select the conversation they are listening to and ignore the others? The models of attention proposed prior to Lavie's theory differed in their proposals for the point in the information processing stream where the selection of target information occurs, leading to a heated[3] debate about whether the selection occurs "early" or "late". There were also arguments about to what degree distracting stimuli are processed.

History

Modern research on attention began when Colin Cherry articulated the "cocktail party problem" in 1953: at a cocktail party how do people select the conversation that they are listening to and ignore the rest?[4] Cherry performed experiments in which subjects would use a set of headphones to listen to two streams of words in different ears and selectively attend to one stream; they would then be asked about the content of the other stream. These experiments showed that subjects take in very little of the information supplied in the stream they are not focusing on.[4]

Donald Broadbent used results of this kind of experiment to develop his filter model of attention, which suggests that humans process information with limited capacity, and therefore information must be selected by a sensory filter soon after it is received. All information in the filter that is not directly attended to will decay.[5] In contrast, Deutsch and Deutsch argued that this filtering [6] of irrelevant stimuli occurs in the late stages of processing: all of the information is processed on a sensory level, but the semantic content of the message in the unattended ear cannot access the consciousness.

Proposal of perceptual load theory

Lavie attempted to resolve the early/late selection debate by arguing that both early and late selection occur depending on the stimulus presented.[1][2] She introduced the concept of perceptual load, referring to the complexity of the physical stimuli, particularly the distractor stimuli. For example, a square surrounded by circles is a scene with low perceptual load, whereas a square surrounded by many different shapes has higher perceptual load.

Key assumptions

Perceptual load theory makes three main assumptions:

  • Attentional resources are limited in capacity;
  • Task-relevant stimuli are processed before task-irrelevant stimuli;
  • All of the attentional resources must be used.

Thus, if the task-relevant stimulus uses all the attentional resources, none of the task-irrelevant stimuli (distractors) will be processed. In high-load tasks the target's attentional resources are depleted faster than in a low-load task. The target will therefore be selected sooner and the distractors will be quickly filtered out. In a low-load task, more of the distractors will be processed because the attentional resources have not been exhausted, and the filtering step will occur later. In a low-load situation the distractors will be perceived, potentially causing an interference.[7][8][9][10]

In this model, selection occurs both in the early stages of processing (high-load condition) and in the late stages (low-load condition).

Criticism

Distractor salience

An alternative theory proposed to explain Lavie's results is distractor salience.[11] This theory argues that the salience, or prominence, of a distractor is the primary factor in causing distraction, rather than the overall load.

Attentional zoom

A second alternative explanation for Lavie's results is attentional zoom, which suggests that the apparent difference between high-load and low-load conditions is not due to the overall load, but instead to the degree of localization of the participant's field of attention.[12][13][14] Attentional zoom theory proposes that participants can process distractors that are within their attentional focus. When an individual is induced to have a small attentional focus and the distractors fall outside of the focus, minimal processing of the distractors and interference is seen.[15] A larger attentional focus that includes distractors leads to a higher level of inference.

Locus versus efficiency

Lavie's PhD supervisor, Yehoshua Tsal, the senior author on the original paper,[1] published a critical review of the perceptual load theory in 2013 with Hanna Benoni.[16] The review argues that perceptual load theory has been misconstrued as a hybrid solution to the early selection versus late selection debate, and that it is instead an early selection model: selection occurs because attention is necessary for semantic processing, and the difference between high-load and low-load conditions is a result of the fact that selection is efficient in high-load conditions but inefficient in low-load conditions.

Benoni and Tsal argue that perceptual load theory deserves recognition not for proposing a hybrid model of attention, but for shifting the focus from the locus of attentional selection to the more important question of the efficiency of attentional selection.

Benoni and Tsal also argue that the nature of perceptual load has never been precisely defined, leading to circularity in characterizing load and in analyzing the results of differences in load.

See also

References
  1. Lavie, Nilli; Tsal, Yehoshua (1994). "Perceptual load as a major determinant of the locus of selection in visual attention". Perception and Psychophysics. 56 (2): 183–197. doi:10.3758/bf03213897. PMID 7971119.
  2. Lavie, Nilli (1995). "Perceptual load as a necessary condition for selective attention" (PDF). Journal of Experimental Psychology: Human Perception and Performance. 21 (3): 451–468. CiteSeerX 10.1.1.468.2521. doi:10.1037/0096-1523.21.3.451. PMID 7790827. S2CID 15853582. Archived from the original (PDF) on 2018-02-09. Retrieved 2 June 2017.
  3. Theeuwes, Jan; Kramer, Arthur F.; Belopolsky, Artem V. (2004). "Attentional set interacts with perceptual load in visual search". Psychonomic Bulletin & Review. 11 (4): 697–702. doi:10.3758/BF03196622. ISSN 1069-9384. PMID 15581120.
  4. Goldstein, E. Bruce (2008). Cognitive psychology : connecting mind, research, and everyday experience (2nd ed.). Australia: Thomson Wadsworth. pp. 14. ISBN 9780495095576. OCLC 183623510.
  5. Broadbent, Donald. E (1958). Perception and Communication. New York: Oxford University Press.
  6. Deutsch, J. A.; Deutsch, D (Jan 1963). "Attention: some theoretical considerations". Psychological Review. 70 (1): 80–90. doi:10.1037/h0039515. PMID 14027390.
  7. Cartwright-finch, Ula; Lavie, Nilli (2007). "The role of perceptual load in inattentional blindness". Cognition. 102 (3): 321–340. doi:10.1016/j.cognition.2006.01.002. PMID 16480973. S2CID 11075314.
  8. Lavie, Nilli; Hirst, A; de Fockhert, J. W; Viding, E (2004). "Load theory of selective attention and cognitive control". Journal of Experimental Psychology. 133 (3): 339–354. doi:10.1037/0096-3445.133.3.339. PMID 15355143. S2CID 10399663.
  9. Lavie, Nilli (Feb 2005). "Distracted and confused?: Selective attention under load". Trends in Cognitive Sciences. 9 (2): 75–82. CiteSeerX 10.1.1.393.1015. doi:10.1016/j.tics.2004.12.004. PMID 15668100. S2CID 18139136.
  10. Rees, G; Frith, CD; Lavie, Nilli (Nov 1997). "Modulating irrelevant motion perception by varying attentional load in an unrelated task". Science. 278 (5343): 1616–1619. doi:10.1126/science.278.5343.1616. PMID 9374459.
  11. Eltiti, Stacy; Wallace, Denise; Fox, Elaine (2005). "Selective target processing: Perceptual load or distractor salience?". Perception and Psychophysics. 67 (5): 876–885. doi:10.3758/bf03193540. PMID 16334059.
  12. Murray, Janice E; Jones, Craig (2010). "Attention to local form information can prevent access to semantic information". The Quarterly Journal of Experimental Psychology. 55 (2): 609–625. doi:10.1080/02724980143000370. PMID 12047062. S2CID 12463665.
  13. Chen, Zhe; Cave, Kyle R (June 2013). "Perceptual load vs. dilution: the roles of attentional focus, stimulus category, and target predictability". Frontiers in Psychology. 4: 327. doi:10.3389/fpsyg.2013.00327. PMC 3675768. PMID 23761777.
  14. Chen, Zhe; Cave, Kyle R (2016). "Identifying Visual Targets Amongst Interfering Distractors: Sorting Out the Roles of Perceptual Load, Dilution, and Attentional Zoom" (PDF). Attention, Perception, & Psychophysics. 78 (7): 1822–38. doi:10.3758/s13414-016-1149-9. PMID 27250363.
  15. Eriksen, Charles W; St James, J. D. (1986). "Visual attention within and around the field of focal attention: A zoom lens model". Perception and Psychophysics. 40 (4): 225–40. doi:10.3758/BF03211502. PMID 3786090.
  16. Benoni, H; Tsal, Y (2013). "Conceptual and methodological concerns in the theory of perceptual load". Frontiers in Psychology. 4: 522. doi:10.3389/fpsyg.2013.00522. PMC 3741554. PMID 23964262.
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