Please use this identifier to cite or link to this item:
Mind-wandering revealed by eye movement hidden Markov model and ERPs
mind wandering,attention,eye movement pattern,EMHMM,
|Publication Year :||2021|
With the development of modern technology and social media, we live in a distracted era that makes us more difficult than ever before to concentrate on the current goal and thus important tasks at hand. It has become imperative to identify mind-wandering, a phenomenon that people sometimes think about things unrelated to the current task, which can potentially cause considerable negative effects on task performance. Since eye movements have been shown to reveal different characteristic between focused attention and mind-wandering, we examined whether eye movement patterns can categorize different groups of people by how prone they are to mind-wandering. Participants performed the sustained attention to response task (SART) with their eye movements and ERPs recorded. The SART comprised 25 trials (one No-go target and 24 go trials) per block and 40 blocks in total. At the end of each block, participants were asked to subjectively rate their state of attention. By applying the eye movement hidden Markov model (EMHMM) to analyze the eye movement data, we differentiated people with two eye movement patterns: centralized vs. distributed pattern. We analyzed the 10-s pre-target time window, which served as an objective measure of mind-wandering based on their performance on the No-go target. Results showed that participants with a centralized-viewing pattern had higher d’ than those with a distributed-viewing pattern. Also, the incorrect response to the No-go target were associated with decreased P3 and greater N2. P3 amplitudes for go trials was also reduced prior to the incorrect response to No-go target. The 10-s pre-probe time window was also analyzed, which served as a subjective measure of mind-wandering based on their report on the probe. Participants with a centralized-viewing pattern tended to rate themselves as more focused relative to those with a distributed-viewing pattern. However, no difference on P3 for go trials prior to rating the state of focus was found. These results suggest that there are specific eye movement patterns differentiating focused attention and mind-wandering, and P3 amplitude reduction suggests reduced processing of the task during mind wandering. By linking the relationship between eye movements and attention, this study highlights that states of attention can be revealed by eye movements and also provides new insight in utilizing EMHMM to study visual attention.
|Appears in Collections:||腦與心智科學研究所|
Files in This Item:
|2.5 MB||Adobe PDF|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.