Abstract
Observers adopt attentional control settings (ACSs) based on their goals that guide the capture of attention: Searched-for stimuli capture attention, and stimuli that are not searched for do not. While previous behavioural research indicates that observers can adopt long-term memory (LTM) ACSs (Giammarco et al. Visual Cognition, 24, 78–101, 2016), it seems surprising that representations in LTM could guide attention quickly enough to control attentional capture. To assess the claim that LTM ACSs exert control over early attentional orienting, we recorded electroencephalography while participants studied and searched for 30 target objects in an attention cueing task. Participants reported the studied target and ignored the preceding cues. To control for perceptual evoked responses, on each trial we presented two cue objects (one studied and one nonstudied). Even though participants were instructed to ignore the cues, studied cues produced the N2pc event-related potential, indicating early attentional orienting that was preferentially directed towards the studied cue versus the nonstudied cue. Critically, the N2pc was detectable within 170 ms, confirming that LTM ACSs rapidly control early capture. We propose an update to contemporary models of attentional capture to account for rapid attentional guidance by LTM ACSs.
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Data Availability
The datasets generated and analyzed during the current study are not publicly available due to the wording on our consent forms at time of data collection, but are available from the corresponding author on reasonable request.
Notes
There is a growing body of research indicating that search distractor costs (i.e., longer search times when distracted by memory-matching versus memory nonmatching irrelevant stimuli), may not purely reflect visual-spatial attentional capture (Al-Aidroos et al., 2010; Becker, 2007; Folk & Remington, 1998; Plater et al., 2022). Thus, it is important here to use other tasks, like an attention cueing task or spatial blink task, to measure the capture of visual spatial attention.
Note that we also conducted the same analysis using a 50% threshold, which may be a more sensitive measure of onset time (Kiesel et al., 2008).
Re-running this analysis using a 50% threshold (Kiesel et al., 2008) revealed an N2pc onset of 171 ms, CI95 = [160, 182].
References
Al-Aidroos, N. (2021). Dividing attentional capture. Visual Cognition, 29(9), 592–595. https://doi.org/10.1080/13506285.2021.1918811
Al-Aidroos, N., Harrison, S., & Pratt, J. (2010). Attentional control settings prevent abrupt onsets from capturing visual spatial attention. Quarterly Journal of Experimental Psychology, 63(1), 31–41. https://doi.org/10.1080/17470210903150738
Anderson, S. F., & Kelley, K. (2017). BUCSS: Bias and uncertainty corrected sample size (R Package Version 1.2.1) [Computer software]. https://cran.r-project.org/web/packages/BUCSS/index.html
Bar, M., Kassam, K. S., Ghuman, A. S., Boshyan, J., Schmidt, A. M., Dale, A. M., Hämäläinen, M. S., Marinkovic, K., Schacter, D. L., Rosen, B. R., & Halgren, E. (2006). Top-down facilitation of visual recognition. Proceedings of the National Academy of Sciences of the United States of America, 103(2), 449–454. https://doi.org/10.1073/pnas.0507062103
Barense, M. D., Gaffan, D., & Graham, K. S. (2007). The human medial temporal lobe processes online representations of complex objects. Neuropsychologia, 45(13), 2963–2974. https://doi.org/10.1016/j.neuropsychologia.2007.05.023
Becker, S. I. (2007). Irrelevant singletons in pop-out search: Attentional capture or filtering costs? Journal of Experimental Psychology: Human Perception and Performance, 33(4), 764–787. https://doi.org/10.1037/0096-1523.33.4.764
Brady, T. F., Konkle, T., Alvarez, G. A., & Oliva, A. (2008). Visual long-term memory has a massive storage capacity for object details. Proceedings of the National Academy of Sciences of the United States of America, 105(38), 14325–14329. https://doi.org/10.1073/pnas.0803390105
Brisson, B., Robitaille, N., & Jolicœur, P. (2007). Stimulus intensity affects the latency but not the amplitude of the N2pc. NeuroReport, 18(15), 1627–1630. https://doi.org/10.1097/WNR.0b013e3282f0b559
Büsel, C., Voracek, M., & Ansorge, U. (2020). A meta-analysis of contingent-capture effects. Psychological Research, 84(3), 784–809. https://doi.org/10.1007/s00426-018-1087-3
Carlisle, N. B., Arita, J. T., Pardo, D., & Woodman, G. F. (2011). Attentional templates in visual working memory. Journal of Neuroscience, 31(25), 9315–9322. https://doi.org/10.1523/JNEUROSCI.1097-11.2011
Chelazzi, L., Duncan, J., Miller, E. K., & Desimone, R. (1998). Responses of neurons in inferior temporal cortex during memory-guided visual search. Journal of Neurophysiology, 80(6), 2918–2940. https://doi.org/10.1152/jn.1998.80.6.2918
Cosman, J. D., & Vecera, S. P. (2013). Context-dependent control over attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 39(3), 836–848. https://doi.org/10.1037/a0030027
Cosman, J. D., & Vecera, S. P. (2014). Establishment of an attentional set via statistical learning. Journal of Experimental Psychology: Human Perception and Performance, 40(1), 1–6. https://doi.org/10.1037/a0034489
Cousineau, D. (2005). Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method. Tutorials in Quantitative Methods for Psychology, 1(1), 42–45. https://doi.org/10.20982/tqmp.01.1.p042
Cowan, N. (1999). An embedded-processes model of working memory. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 62–101). Cambridge University Press. https://doi.org/10.1017/CBO9781139174909.006
Craik, F. I. M., Govoni, R., Naveh-Benjamin, M., & Anderson, N. D. (1996). The effects of divided attention on encoding and retrieval processes in human memory. Memory, Attention, and Aging: Selected Works of Fergus I. M. Craik, 125(2), 159–180. https://doi.org/10.4324/9781315440446
Cunningham, C. A., & Wolfe, J. M. (2014). The role of object categories in hybrid visual and memory search. Journal of Experimental Psychology: General, 143(4), 1585–1599. https://doi.org/10.1037/a0036313
Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134, 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009
Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18(1), 193–222. https://doi.org/10.1146/annurev.ne.18.030195.001205
Drew, T., & Wolfe, J. M. (2014). Hybrid search in temporal domain: Evidence for rapid, serial logarithmic search through memory. Attention, Perception, & Psychophysics, 76(2), 296–303. https://doi.org/10.3758/s13414-013-0606-y
Drew, T., Boettcher, S. E. P., & Wolfe, J. M. (2017). One visual search, many memory searches: An eye-tracking investigation of hybrid search. Journal of Vision, 17(11), 1–10. https://doi.org/10.1167/17.11.5
Drew, T., Williams, L. H., Jones, C. M., & Luria, R. (2018). Neural processing of repeated search targets depends upon the stimuli: Real world stimuli engage semantic processing and recognition memory. Frontiers in Human Neuroscience, 12(November), 1–15. https://doi.org/10.3389/fnhum.2018.00460
Eimer, M. (1996). The N2pc component as an indicator of attentional selectivity. Electroencephalography and Clinical Neurophysiology, 99(3), 225–234. https://doi.org/10.1016/S0921-884X(96)95711-2
Eimer, M. (2014). The neural basis of attentional control in visual search. Trends in Cognitive Sciences, 18(10), 526–535. https://doi.org/10.1016/j.tics.2014.05.005
Eimer, M., & Kiss, M. (2010). Top-down search strategies determine attentional capture in visual search: Behavioral and electrophysiological evidence. Attention, Perception, & Psychophysics, 72(4), 951–062. https://doi.org/10.3758/APP.72.4.951
Folk, C. L., & Remington, R. (1998). Selectivity in distraction by irrelevant featural singletons: Evidence for two forms of attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 24(3), 847–858. https://doi.org/10.1037/0096-1523.24.3.847
Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 1030–1044. https://doi.org/10.1037/0096-1523.18.4.1030
Folk, C. L., Remington, R. W., & Wright, J. H. (1994). The structure of attentional control: Contingent attentional capture by apparent motion, abrupt onset, and color. Journal of Experimental Psychology: Human Perception and Performance, 20(2), 317–329. https://doi.org/10.1037/0096-1523.20.2.317
Found, A. (1998). Parallel coding of conjunctions in visual search. Perception and Psychophysics, 60(7), 1117–1127. https://doi.org/10.3758/BF03206162
Giammarco, M., Paoletti, A., Guild, E. B., & Al-Aidroos, N. (2016). Attentional capture by items that match episodic long-term memory representations. Visual Cognition, 24(1), 78–101. https://doi.org/10.1080/13506285.2016.1195470
Giammarco, M., Plater, L., Hryciw, J., & Al-Aidroos, N. (2021). Getting it right from the start: Attentional control settings without a history of target selection. Attention, Perception, and Psychophysics, 83(1), 133–141. https://doi.org/10.3758/s13414-020-02193-x
Goodhew, S. C., Kendall, W., Ferber, S., & Pratt, J. (2014). Setting semantics: Conceptual set can determine the physical properties that capture attention. Attention, Perception, & Psychophysics, 76(6), 1577–1589. https://doi.org/10.3758/s13414-014-0686-3
Grubert, A., & Eimer, M. (2016). All set, indeed! N2PC components reveal simultaneous attentional control settings for multiple target colors. Journal of Experimental Psychology: Human Perception and Performance, 42(8), 1215–1230. https://doi.org/10.1037/xhp0000221
Hickey, C., Di Lollo, V., & McDonald, J. J. (2009). Electrophysiological indices of target and distractor processing in visual search. Journal of Cognitive Neuroscience, 21(4), 760–775. https://doi.org/10.1162/jocn.2009.21039
Irons, J. L., & Leber, A. B. (2016). Choosing attentional control settings in a dynamically changing environment. Attention, Perception, & Psychophysics, 1–18. https://doi.org/10.3758/s13414-016-1125-4
JASP-Team. (2017). JASP (Version 0.8.3.1) [Computer Software]. https://jasp-stats.org
Kanwisher, N. (2010). Functional specificity in the human brain: A window into the functional architecture of the mind. Proceedings of the National Academy of Sciences of the United States of America, 107(25), 11163–11170. https://doi.org/10.1073/pnas.1005062107
Kiesel, A., Miller, J., Jolicœur, P., & Brisson, B. (2008). Measurement of ERP latency differences: A comparison of single-participant and jackknife-based scoring methods. Psychophysiology, 45(2), 250–274. https://doi.org/10.1111/j.1469-8986.2007.00618.x
Kiss, M., Van Velzen, J., & Eimer, M. (2008). The N2pc component and its links to attention shifts and spatially selective visual processing. Psychophysiology, 45(2), 240–249. https://doi.org/10.1111/j.1469-8986.2007.00611.x
Kwak, H. W., Dagenbach, D., & Egeth, H. (1991). Further evidence for a time-independent shift of the focus of attention. Perception & Psychophysics, 49(5), 473–480. https://doi.org/10.3758/BF03212181
Lancry-Dayan, O. C., Nahari, T., Ben-Shakhar, G., & Pertzov, Y. (2021). Keep an eye on your belongings: Gaze dynamics toward familiar and unfamiliar objects. Journal of Experimental Psychology: Learning Memory and Cognition, 47(11), 1888–1901. https://doi.org/10.1037/xlm0001086
Lien, M.-C., Ruthruff, E., & Johnston, J. C. (2010). Attentional capture with rapidly changing attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 36(1), 1–16. https://doi.org/10.1037/a0015875
Lins, O. G., Picton, T. W., Berg, P., & Scherg, M. (1993). Ocular artifacts in recording EEGs and event-related potentials II: Source dipoles and source components. Brain Topography, 6(1), 65–78. https://doi.org/10.1007/BF01234128
Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 1–14. https://doi.org/10.3389/fnhum.2014.00213
Luck, S. J., & Hillyard, S. A. (1994). Spatial filtering during visual search: Evidence from human electrophysiology. Journal of Experimental Psychology: Human Perception and Performance, 20(5), 1000–1014. https://doi.org/10.1037//0096-1523.20.5.1000
Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279–281. https://doi.org/10.1038/36846
Luck, S. J., Gaspelin, N., Folk, C. L., Remington, R. W., & Theeuwes, J. (2021). Progress toward resolving the attentional capture debate. Visual Cognition, 29(1), 1–21. https://doi.org/10.1080/13506285.2020.1848949
Miller, J., Ulrich, R., & Schwarz, W. (2009). Why jackknifing yields good latency estimates. Psychophysiology, 46(2), 300–312. https://doi.org/10.1111/j.1469-8986.2008.00761.x
Morey, R. D. (2008). Confidence intervals from normalized data: A correction to Cousineau (2005). Tutorials in Quantitative Methods for Psychology, 4(2), 61–64. https://doi.org/10.20982/tqmp.04.2.p061
Moscovitch, M. (2008). The hippocampus as a “stupid”, domain-specific module: Implications for theories of recent and remote memory, and of imagination. Canadian Journal of Experimental Psychology, 62(1), 62–79. https://doi.org/10.1037/1196-1961.62.1.62
Nickel, A. E., Hopkins, L. S., Minor, G. N., & Hannula, D. E. (2020). Attention capture by episodic long-term memory. Cognition, 201, 104312. https://doi.org/10.1016/j.cognition.2020.104312
Nordfang, M., & Wolfe, J. M. (2014). Guided search for triple conjunctions. Attention, Perception, & Psychophysics, 76(6), 1535–1559. https://doi.org/10.3758/s13414-014-0715-2
Oberauer, K. (2001). Removing irrelevant information from working memory: A cognitive aging study with the modified Sternberg task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(4), 948–957. https://doi.org/10.1037/0278-7393.27.4.948
Oberauer, K. (2019). Working memory and attention - A conceptual analysis and review. Journal of Cognition, 2(1), 1–23. https://doi.org/10.5334/joc.58
Olivers, C. N. L., Meijer, F., & Theeuwes, J. (2006). Feature-based memory-driven attentional capture: Visual working memory content affects visual attention. Journal of Experimental Psychology: Human Perception and Performance, 32(5), 1243–1265. https://doi.org/10.1037/0096-1523.32.5.1243
Ort, E., & Olivers, C. N. L. (2020). The capacity of multiple-target search. Visual Cognition, 28, 330–355. https://doi.org/10.1080/13506285.2020.1772430The
Phillips, W. A. (1974). On the distinction between sensory storage and short-term visual memory. Perception & Psychophysics, 16(2), 283–290. https://doi.org/10.3758/BF03203943
Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson, R., Miller, G. A., Ritter, W., Ruchkin, D. S., Rugg, M. D., & Taylor, M. J. (2000). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37(2), 127–152. https://doi.org/10.1017/S0048577200000305
Plater, L., Giammarco, M., Fiacconi, C., & Al-Aidroos, N. (2020). No role for activated long-term memory in attentional control settings. Journal of Experimental Psychology: General, 149(2), 209–221. https://doi.org/10.1037/xge0000642
Plater, L., Dube, B., Giammarco, M., Donaldson, K., Miller, K., & Al-Aidroos, N. (2022). Revisiting the role of visual working memory in attentional control settings. Visual Cognition, 30(5), 318–338. https://doi.org/10.1080/13506285.2022.2044949
Posner, M. I., & Cohen, Y. (1984). Components of visual orienting. Attention and Performance, 32, 531–556. https://doi.org/10.1162/jocn.1991.3.4.335
Reinhart, R. M. G., & Woodman, G. F. (2014). High stakes trigger the use of multiple memories to enhance the control of attention. Cerebral Cortex, 24(8), 2022–2035. https://doi.org/10.1093/cercor/bht057
RStudioTeam. (2020). RStudio: Integrated development environment for R (Version 1.3.1093) [Computer software]. RStudio. http://www.rstudio.com/
Shiffrin, R. M., & Schneider, W. (1977). Controlled and automatic human information processing. II. Perceptual learning, automatic attending and a general theory. Psychological Review, 84(2), 127–190. https://doi.org/10.1037/0033-295X.84.2.127
Soto, D., Hodsoll, J., Rotshtein, P., & Humphreys, G. W. (2008). Automatic guidance of attention from working memory. Trends in Cognitive Sciences, 12(9), 342–348. https://doi.org/10.1016/j.tics.2008.05.007
Tanaka, K. (1996). Inferotemporal cortex and object vision. Annual Review of Neuroscience, 19, 109–139. https://doi.org/10.1146/annurev.ne.19.030196.000545
Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12, 97–136. https://doi.org/10.1016/0010-0285(80)90005-5
Vickery, T. J., King, L. W., & Jiang, Y. (2005). Setting up the target template in visual search. Journal of Vision, 5(1), 81–92. https://doi.org/10.1167/5.1.8
Wolfe, J. M. (2007). Guided search 4.0: Current progress with a model of visual search. In W. D. Gray (Ed.), Integrated models of cognitive systems (pp. 99–119). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195189193.003.0008
Wolfe, J. M. (2012). Saved by a log: How do humans perform hybrid visual and memory search? Psychological Science, 23(7), 698–703. https://doi.org/10.1177/0956797612443968
Wolfe, J. M. (2020). Visual search: How do we find what we are looking for? Annual Review of Vision Science, 6, 539–562. https://doi.org/10.1146/annurev-vision-091718-015048
Wolfe, J. M. (2021). Guided Search 6.0: An updated model of visual search. Psychonomic Bulletin and Review, 28(4), 1060–1092. https://doi.org/10.3758/s13423-020-01859-9
Wolfe, J. M., Alvarez, G. A., Rosenholtz, R., Kuzmova, Y. I., & Sherman, A. M. (2011). Visual search for arbitrary objects in real scenes. Attention, Perception, and Psychophysics, 73(6), 1650–1671. https://doi.org/10.3758/s13414-011-0153-3
Wolfe, J. M., & Horowitz, T. S. (2017). Five factors that guide attention in visual search. Nature Human Behaviour, 1(3). https://doi.org/10.1038/s41562-017-0058
Woodman, G. F., Carlisle, N. B., & Reinhart, R. M. G. (2013). Where do we store the memory representations that guide attention? Journal of Vision, 13(3), 1–17. https://doi.org/10.1167/13.3.1
Wyble, B., Folk, C., & Potter, M. C. (2013). Contingent attentional capture by conceptually relevant images. Journal of Experimental Psychology: Human Perception and Performance, 39(3), 861–871. https://doi.org/10.1037/a0030517
Yaron, I., & Lamy, D. (2021). Spatial cueing effects are not what we thought: On the timing of attentional deployment. Journal of Experimental Psychology Human Perception and Performance, 47(7), 946–962. https://doi.org/10.1037/xhp0000918
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The authors would like to thank Christine Salahub for assistance with the HEOG residual analysis.
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This work was supported by the National Sciences and Engineering Research Council of Canada (Discovery Grant No. 418507-201) and the Canadian Foundation for Innovation (Grant No. 30374).
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Plater, L., Giammarco, M., Joubran, S. et al. Control over attentional capture within 170 ms by long-term memory control settings: Evidence from the N2pc. Psychon Bull Rev 31, 283–292 (2024). https://doi.org/10.3758/s13423-023-02352-9
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DOI: https://doi.org/10.3758/s13423-023-02352-9