Control over attentional capture within 170 ms by long-term memory control settings: Evidence from the N2pc

• Published in: Psychonomic bulletin & review Vol. 31; no. 1; pp. 283 - 292
• Main Authors: Plater, Lindsay, Giammarco, Maria, Joubran, Samantha, Al-Aidroos, Naseem
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2024; Springer Nature B.V
• Subjects: Attention - physiology; Behavioral Science and Psychology; Brief Report; Cognition; Cognitive Psychology; Cues; Electroencephalography; Evoked Potentials - physiology; Humans; Investigations; Memory, Long-Term; Photic Stimulation; Psychology; Reaction Time - physiology; Long-term memory; Electroencephalography; Attentional control settings; Cueing task; Attention
• ISSN: 1069-9384; 1531-5320
• DOI: 10.3758/s13423-023-02352-9

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.