Yamashita Jumpei, Terashima Hiroki, Yoneya Makoto, Maruya Kazushi, Oishi Haruo, Kumada Takatsune
NTT Access Network Service Systems Laboratories, Nippon Telegraph and Telephone Corporation, Tokyo 180-8585, Japan
NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Kanagawa 243-0198, Japan.
eNeuro. 2024 Dec 12;11(12). doi: 10.1523/ENEURO.0250-24.2024. Print 2024 Dec.
Maintaining concentration on demanding cognitive tasks, such as vigilance (VG) and working memory (WM) tasks, is crucial for successful task completion. Previous research suggests that internal concentration maintenance fluctuates, potentially declining to suboptimal states, which can influence trial-by-trial performance in these tasks. However, the timescale of such alertness maintenance, as indicated by slow changes in pupil diameter, has not been thoroughly investigated. This study explored whether "pupil trends"-which selectively signal suboptimal tonic alertness maintenance at various timescales-negatively correlate with trial-by-trial performance in VG and WM tasks. Using the psychomotor vigilance task (VG) and the visual-spatial two-back task (WM), we found that human pupil trends lasting over 10 s were significantly higher in trials with longer reaction times, indicating poorer performance, compared with shorter reaction time trials, which indicated better performance. The attention network test further validated that these slow trends reflect suboptimal states related to (tonic) alertness maintenance rather than suboptimal performance specific to VG and WM tasks, which is more associated with (phasic) responses to instantaneous interference. These findings highlight the potential role of detecting and compensating for nonoptimal states in VG and WM performance, significantly beyond the 10 s timescale. Additionally, the findings suggest the possibility of estimating human concentration during various visual tasks, even when rapid pupil changes occur due to luminance fluctuations.
在诸如警觉性(VG)和工作记忆(WM)任务等要求较高的认知任务中保持专注,对于成功完成任务至关重要。先前的研究表明,内部注意力维持会波动,可能会降至次优状态,这会影响这些任务中逐次试验的表现。然而,由瞳孔直径缓慢变化所表明的这种警觉性维持的时间尺度尚未得到充分研究。本研究探讨了“瞳孔趋势”——即在不同时间尺度上选择性地指示次优持续性警觉性维持的指标——是否与VG和WM任务中的逐次试验表现呈负相关。使用心理运动警觉任务(VG)和视觉空间双回溯任务(WM),我们发现,与反应时间较短(表明表现较好)的试验相比,反应时间较长(表明表现较差)的试验中,持续超过10秒的人类瞳孔趋势显著更高。注意力网络测试进一步验证,这些缓慢趋势反映的是与(持续性)警觉性维持相关的次优状态,而非特定于VG和WM任务的次优表现,后者更多地与对瞬时干扰的(阶段性)反应相关。这些发现突出了在VG和WM表现中检测和补偿非最优状态的潜在作用,其显著超出了10秒的时间尺度。此外,这些发现表明,即使在由于亮度波动而出现快速瞳孔变化的情况下,也有可能在各种视觉任务期间估计人类的注意力集中程度。