کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7288297 | 1474167 | 2016 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automatic gender detection of dream reports: A promising approach
ترجمه فارسی عنوان
تشخیص جنسیت اتوماتیک گزارش های رویایی: رویکرد امیدوار کننده
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
چکیده انگلیسی
A computer program was developed in an attempt to differentiate the dreams of males from females. Hypothesized gender predictors were based on previous literature concerning both dream content and written language features. Dream reports from home-collected dream diaries of 100 male (144 dreams) and 100 female (144 dreams) adolescent Anglophones were matched for equal length. They were first scored with the Hall and Van de Castle (HVDC) scales and quantified using DreamSAT. Two male and two female undergraduate students were asked to read all dreams and predict the dreamer's gender. They averaged a pairwise percent correct gender prediction of 75.8% (κ = 0.516), while the Automatic Analysis showed that the computer program's accuracy was 74.5% (κ = 0.492), both of which were higher than chance of 50% (κ = 0.00). The prediction levels were maintained when dreams containing obvious gender identifiers were eliminated and integration of HVDC scales did not improve prediction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Consciousness and Cognition - Volume 44, August 2016, Pages 20-28
Journal: Consciousness and Cognition - Volume 44, August 2016, Pages 20-28
نویسندگان
Christina Wong, Reza Amini, Joseph De Koninck,