ROC and SAT Analysis of Different Grayscale Test Images (Distractors L and Target T) to Customize a Visual-Search Attention Task  

作　　者：Dineshen Chuckravanen Barkin Ilhan Nizamettin Dalkı lı ç  Dineshen Chuckravanen;Barkin Ilhan;Nizamettin Dalkılıç(Department of Biophysics, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey)

机构地区：[1]Department of Biophysics, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey

出　　处：《Open Journal of Biophysics》2021年第4期407-414,共8页生物物理学期刊（英文）

摘　　要：Nowadays, there is a great need to investigate the effects of fatigue on physical as well as mental performance. The issues that are generally associated with extreme fatigue are that one can easily lose one’s focus while performing any particular activity whether it is physical or mental and this decreases one’s motivation to complete the task at hand efficiently and successfully. In the same line of thought, myriads of research studies posited the negative effects of fatigue on mental performance, and most techniques to induce fatigue to require normally long-time and repetitive visual search tasks. In this study, a visual search algorithm task was devised and customized using performance measures such as <em>d</em>’ (<strong>d-prime</strong>) and Speed Accuracy Trade-Off (<strong>SATF</strong>) as well as <strong>ROC</strong> analysis for classifier performance. The visual search algorithm consisted of distractors (<strong>L</strong>) and a target (<strong>T</strong>) whereby human participants had to press the appropriate keyboard button as fast as possible if they notice a target or not upon presentation of a visual stimulus. It was administered to human participants under laboratory conditions, and the reaction times, as well as accuracy of the participants, were monitored. It was found that the test image Size35Int255 was the best image to be used in terms of sensitivity and AUC (Area under Curve). Therefore, ongoing researches can use these findings to create their visual stimuli in such a way that the target and distractor images follow the size and intensity characteristics as found in this research.Nowadays, there is a great need to investigate the effects of fatigue on physical as well as mental performance. The issues that are generally associated with extreme fatigue are that one can easily lose one’s focus while performing any particular activity whether it is physical or mental and this decreases one’s motivation to complete the task at hand efficiently and successfully. In the same line of thought, myriads of research studies posited the negative effects of fatigue on mental performance, and most techniques to induce fatigue to require normally long-time and repetitive visual search tasks. In this study, a visual search algorithm task was devised and customized using performance measures such as <em>d</em>’ (<strong>d-prime</strong>) and Speed Accuracy Trade-Off (<strong>SATF</strong>) as well as <strong>ROC</strong> analysis for classifier performance. The visual search algorithm consisted of distractors (<strong>L</strong>) and a target (<strong>T</strong>) whereby human participants had to press the appropriate keyboard button as fast as possible if they notice a target or not upon presentation of a visual stimulus. It was administered to human participants under laboratory conditions, and the reaction times, as well as accuracy of the participants, were monitored. It was found that the test image Size35Int255 was the best image to be used in terms of sensitivity and AUC (Area under Curve). Therefore, ongoing researches can use these findings to create their visual stimuli in such a way that the target and distractor images follow the size and intensity characteristics as found in this research.

关 键 词：AUC Mental Fatigue PSYCHOPHYSICS ROC Analysis Response Accuracy Re-action Time SATF Visual Attention 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]