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在随机扫视眼动追踪任务中五种注视类型的证据以及注视持续时间随任务执行时间的变化。

Evidence for five types of fixation during a random saccade eye tracking task and changes in fixation duration as a function of time-on-task.

作者信息

Friedman Lee, Komogortsev Oleg V

机构信息

Department of Computer Science, Texas State University, San Marcos, Texas, United States of America.

出版信息

PLoS One. 2024 Sep 16;19(9):e0310436. doi: 10.1371/journal.pone.0310436. eCollection 2024.

Abstract

Our interest was to evaluate changes in fixation duration as a function of time-on-task (TOT) during a random saccade task. We employed a large, publicly available dataset. The frequency histogram of fixation durations was multimodal and modelled as a Gaussian mixture. For this specific task, we found five fixation types. The "ideal" response would be a single accurate saccade after each target movement, with a typical saccade latency of 200-250 msec, followed by a long fixation (> 800 msec) until the next target jump. We found fixations like this, but they comprised only 10% of all fixations and were the first fixation after target movement only 23.4% of the time. More frequently (57.4% of the time), the first fixation after target movement was short (117.7 msec mean) and was commonly followed by a corrective saccade. Across the entire 100 sec of the task, median total fixation duration decreased. This decrease was approximated with a power law fit with R2 = 0.94. A detailed examination of the frequency of each of our five fixation types over time on task (TOT) revealed that the three shortest duration fixation types became more and more frequent with TOT whereas the two longest fixations became less and less frequent. In all cases, the changes over TOT followed power law relationships, with R2 values between 0.73 and 0.93. We concluded that, over the 100 second duration of our task, long fixations are common in the first 15 to 22 seconds but become less common after that. Short fixations are relatively uncommon in the first 15 to 22 seconds but become more and more common as the task progressed. Apparently. the ability to produce an ideal response, although somewhat likely in the first 22 seconds, rapidly declines. This might be related to a noted decline in saccade accuracy over time.

摘要

我们感兴趣的是在随机扫视任务中,评估注视持续时间随任务执行时间(TOT)的变化。我们使用了一个大型的公开可用数据集。注视持续时间的频率直方图是多峰的,并被建模为高斯混合模型。对于这个特定任务,我们发现了五种注视类型。“理想”的反应应该是在每个目标移动后进行一次精确的扫视,典型的扫视潜伏期为200 - 250毫秒,随后是长时间的注视(> 800毫秒),直到下一个目标跳跃。我们发现了这样的注视,但它们仅占所有注视的10%,并且仅在23.4%的时间里是目标移动后的首次注视。更常见的情况(57.4%的时间)是,目标移动后的首次注视很短(平均117.7毫秒),并且通常随后会有一次校正扫视。在整个100秒的任务过程中,总注视持续时间的中位数下降了。这种下降可以用幂律拟合来近似,R2 = 0.94。对我们五种注视类型在任务执行时间(TOT)上的频率进行详细检查发现,三种持续时间最短的注视类型随着TOT变得越来越频繁,而两种最长的注视则变得越来越不频繁。在所有情况下,TOT上的变化都遵循幂律关系,R2值在0.73到0.93之间。我们得出结论,在我们任务的100秒持续时间内,长时间注视在前15到22秒很常见,但之后变得不那么常见。短时间注视在前15到22秒相对不常见,但随着任务的进行变得越来越常见。显然,产生理想反应的能力,尽管在前22秒有一定可能性,但会迅速下降。这可能与随着时间推移扫视准确性的明显下降有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1274/11404824/1170e9a99184/pone.0310436.g001.jpg

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