Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks
المؤلفون المشاركون
Matsuda, Noriyuki
Takeuchi, Haruhiko
المصدر
Applied Computational Intelligence and Soft Computing
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-11-23
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Assuming that scenes would be visually scanned by chunking information, we partitioned fixation sequences of web page viewers into chunks using isolate gaze point(s) as the delimiter.
Fixations were coded in terms of the segments in a 5 × 5 mesh imposed on the screen.
The identified chunks were mostly short, consisting of one or two fixations.
These were analyzed with respect to the within- and between-chunk distances in the overall records and the patterns (i.e., subsequences) frequently shared among the records.
Although the two types of distances were both dominated by zero- and one-block shifts, the primacy of the modal shifts was less prominent between chunks than within them.
The lower primacy was compensated by the longer shifts.
The patterns frequently extracted at three threshold levels were mostly simple, consisting of one or two chunks.
The patterns revealed interesting properties as to segment differentiation and the directionality of the attentional shifts.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Matsuda, Noriyuki& Takeuchi, Haruhiko. 2014. Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks. Applied Computational Intelligence and Soft Computing،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1015248
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Matsuda, Noriyuki& Takeuchi, Haruhiko. Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks. Applied Computational Intelligence and Soft Computing No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1015248
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Matsuda, Noriyuki& Takeuchi, Haruhiko. Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks. Applied Computational Intelligence and Soft Computing. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1015248
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1015248
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر