The Wandering Eye: An Eye Tracking Approach to Mind Wandering

2018 ◽  
Author(s):  
Jessica Schnabel
Keyword(s):  
Eye Tracking ◽  
Task Performance ◽  
Target Location ◽  
External Environment ◽  
Mind Wandering ◽  
Individual Characteristics ◽  
Moving Target ◽  
Tracking Data ◽  
The Mind

Mind wandering, or “daydreaming,” is a shift in the contents of a thought away from a task and/or event in the external environment, to self-generated thoughts and feelings. This research seeks to test the reliability of eye tracking as an objective of measure mind wandering using the Wandering Eye Paradigm, as well as examine the relationships between mind wandering and individual characteristics. Fifty participants will be recruited for two appointments a day apart, on each day on each day completing two eye tracking sessions following a moving target. In this task, participants will be instructed to press the space bar if they feel they are mind wandering, and then answer three questions about their episode content. Questionnaires measuring mind wandering, procrastination, mindfulness, creativity and personality (in particular conscientiousness) will be completed between eye tracking sessions. By comparing the eye tracking data in the period prior to the spacebar press we can determine quantifiable indicators of the onset and duration of mind wandering episodes by analyzing gaze location in relation to the target location. It has been hypothesized that severity of task performance failures (losing track of the target) should correlate with the “depth” of the mind wandering episode content. Additionally, we expect the frequency of mind wandering episodes to correlate with individual characteristics, and that these measures will be consistent across trials. This research would provide a novel objective way to identify and measure mind wandering, and would help further advance the understanding of its behavioral and subjective dimensions.

Going AWOL in the Brain: Mind Wandering Reduces Cortical Analysis of External Events

2008 ◽  
Vol 20 (3) ◽  
pp. 458-469 ◽  
Author(s):  
Jonathan Smallwood ◽  
Emily Beach ◽  
Jonathan W. Schooler ◽  
Todd C. Handy
Keyword(s):  
External Environment ◽  
Mind Wandering ◽  
Event Related Potential ◽  
Self Report ◽  
P300 Amplitude ◽  
Control Analysis ◽  
Potential Component ◽  
Response Task ◽  
The Mind ◽  
Subjective Reports

Converging evidence from neuroscience suggests that our attention to the outside world waxes and wanes over time. We examined whether these periods of “mind wandering” are associated with reduced cortical analysis of the external environment. Participants performed a sustained attention to response task in which they responded to frequent “nontargets” (digits 0–9) and withheld responses for infrequent “targets” (the letter X). Mind wandering was defined both behaviorally, indicated by a failure to withhold a response to a target, and subjectively, via self-report at a thought probe. The P300 event-related potential component for nontargets was reduced prior to both the behavioral and subjective reports of mind wandering, relative to periods of being “on-task.” Regression analysis of P300 amplitude revealed significant common variance between behavioral and subjective markers of mind wandering, suggesting that both markers reflect a common underlying mental state. Finally, control analysis revealed that the effect of mind wandering on the P300 could not be ascribed to changes in motor activity nor was it associated with general arousal. Our data suggest that when trying to engage attention in a sustained manner, the mind will naturally ebb and flow in the depth of cognitive analysis it applies to events in the external environment.

scholarly journals Collaborative Use of a Shared System Interface: The Role of User Gaze—Gaze Convergence Index Based on Synchronous Dual-Eyetracking

2020 ◽  
Vol 10 (13) ◽  
pp. 4508 ◽  
Author(s):  
Armel Quentin Tchanou ◽  
Pierre-Majorique Léger ◽  
Jared Boasen ◽  
Sylvain Senecal ◽  
Jad Adam Taher ◽  
...  
Keyword(s):  
Eye Movements ◽  
Eye Tracking ◽  
Task Performance ◽  
Tracking Data ◽  
Nomological Network ◽  
Practical Applications ◽  
The Gaze ◽  
Research Perspectives ◽  
System Interfaces

Gaze convergence of multiuser eye movements during simultaneous collaborative use of a shared system interface has been proposed as an important albeit sparsely explored construct in human-computer interaction literature. Here, we propose a novel index for measuring the gaze convergence of user dyads and address its validity through two consecutive eye-tracking studies. Eye-tracking data of user dyads were synchronously recorded while they simultaneously performed tasks on shared system interfaces. Results indicate the validity of the proposed gaze convergence index for measuring the gaze convergence of dyads. Moreover, as expected, our gaze convergence index was positively associated with dyad task performance and negatively associated with dyad cognitive load. These results suggest the utility of (theoretical or practical) applications such as synchronized gaze convergence displays in diverse settings. Further research perspectives, particularly into the construct’s nomological network, are warranted.

Coding and Visualizing Eye Tracking Data in Simulated Anesthesia Care

2007 ◽  
Vol 51 (11) ◽  
pp. 765-770 ◽  
Author(s):  
Noa Segall ◽  
Jeffrey M. Taekman ◽  
Jonathan B. Mark ◽  
Gene Hobbs ◽  
Melanie C. Wright
Keyword(s):  
Human Factors ◽  
Eye Tracking ◽  
Video Coding ◽  
Task Performance ◽  
Anesthesia Care ◽  
Tracking Data ◽  
Care Environment ◽  
Human Factors Research

Eye tracking can be a valuable tool for collecting data about perception and attention in task performance, but its use in human factors research has been limited. This may be due to the fact that the coding and visualization of eye tracking data can be difficult and time-consuming. In this paper we introduce a video-coding application for coding and analyzing eye tracking data. We discuss various methods for visualizing these data for the purposes of identifying patterns or trends that can then be more formally analyzed. We also present several visualization examples from the simulated anesthesia care environment.

scholarly journals Μεταγνωστικές εμπειρίες στην προοπτική μνήμη νεότερων και μεγαλύτερων σε ηλικία ατόμων: παίζει ρόλο η απερισκεψία;

2021 ◽  
Vol 26 (1) ◽  
pp. 278
Author(s):  
Γαρυφαλλιά Τάνου ◽  
Αναστασία Κωσταρίδου-Ευκλείδη
Keyword(s):  
Personality Traits ◽  
Task Performance ◽  
Mind Wandering ◽  
Cognitive Failures ◽  
Metacognitive Experience ◽  
The Mind ◽  
Neutral Affect ◽  
Tip Of The Tongue ◽  
Correlation Factors ◽  
Metacognitive Experiences

The present study aimed to examine metacognitive experiences in situations with respect to perspective memory (PM). The metacognitive experiences studied were blank in mind, “tip of the tongue”, mind wandering, and mind blanking. Young, middle-aged and elderly people of both sexes participated in this study. We also studied affect, cognitive failures and mindlessness as personality traits, which were also used as correlation factors of metacognitive experiences. The results of the current study showed that personality traits are related to metacognitive experience of blank in the mind, but not with performance in the PM task. Moreover, the results showed that there is a decline in task performance in older people, but no effect on metacognitive experiences. There were also high correlations between the metacognitive experiences of mind wandering, blank in mind and mind blanking, but there were no correlations between them and the “tip of the tongue” experience. Finally, regarding the correlation of affect with the task performance and metacognitive experiences, it was found that neutral affect correlates positively with mind wandering and blank in mind and negatively with mind blanking self-reports, but it does not necessarily correlate with lower task performance.

Somebody's Watching: Exploring the Influence of Eye-Tracking on Task Performance

2008 ◽  
Author(s):  
Scott R. Hinze ◽  
Beth A. Fisher ◽  
Jennifer Wiley
Keyword(s):  
Eye Tracking ◽  
Task Performance

The Opposition of Surprisal and Semantic Similarity in the Prediction of Language Processing: Evidence from Eye-tracking Data

2020 ◽  
Author(s):  
Kun Sun
Keyword(s):  
Eye Tracking ◽  
Semantic Similarity ◽  
Cognitive Processing ◽  
Language Processing ◽  
Language Comprehension ◽  
Word Processing ◽  
Reading Time ◽  
Computational Models ◽  
Tracking Data ◽  
Dynamic Approach

Expectations or predictions about upcoming content play an important role during language comprehension and processing. One important aspect of recent studies of language comprehension and processing concerns the estimation of the upcoming words in a sentence or discourse. Many studies have used eye-tracking data to explore computational and cognitive models for contextual word predictions and word processing. Eye-tracking data has previously been widely explored with a view to investigating the factors that influence word prediction. However, these studies are problematic on several levels, including the stimuli, corpora, statistical tools they applied. Although various computational models have been proposed for simulating contextual word predictions, past studies usually preferred to use a single computational model. The disadvantage of this is that it often cannot give an adequate account of cognitive processing in language comprehension. To avoid these problems, this study draws upon a massive natural and coherent discourse as stimuli in collecting the data on reading time. This study trains two state-of-art computational models (surprisal and semantic (dis)similarity from word vectors by linear discriminative learning (LDL)), measuring knowledge of both the syntagmatic and paradigmatic structure of language. We develop a `dynamic approach' to compute semantic (dis)similarity. It is the first time that these two computational models have been merged. Models are evaluated using advanced statistical methods. Meanwhile, in order to test the efficiency of our approach, one recently developed cosine method of computing semantic (dis)similarity based on word vectors data adopted is used to compare with our `dynamic' approach. The two computational and fixed-effect statistical models can be used to cross-verify the findings, thus ensuring that the result is reliable. All results support that surprisal and semantic similarity are opposed in the prediction of the reading time of words although both can make good predictions. Additionally, our `dynamic' approach performs better than the popular cosine method. The findings of this study are therefore of significance with regard to acquiring a better understanding how humans process words in a real-world context and how they make predictions in language cognition and processing.

Attentional Bias to Untrustworthy Faces: Evidence From Eye Tracking Data

2015 ◽  
Vol 23 (9) ◽  
pp. 1508
Author(s):  
Qiandong WANG ◽  
Qinggong LI ◽  
Kaikai CHEN ◽  
Genyue FU
Keyword(s):  
Eye Tracking ◽  
Attentional Bias ◽  
Tracking Data
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