کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
261490 503825 2015 28 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Machine learning classification of design team members' body language patterns for real time emotional state detection
ترجمه فارسی عنوان
طبقه بندی یادگیری ماشین از الگوهای زبان بدن اعضای تیم طراحی برای تشخیص حالت احساسی در زمان واقعی
کلمات کلیدی
مدل های محاسباتی، پردازش اطلاعات، فعالیت طراحی، کار گروهی، رفتار کاربر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
چکیده انگلیسی


• Machine learning to detect emotions using non-invasive sensors in design teams.
• Effectiveness of approach illustrated with case study.
• High accuracy over 90% achieved for detecting many body language poses.
• Scalable solutions with potential for further research.

Design team interactions are one of the least understood aspects of the engineering design process. Given the integral role that designers play in the engineering design process, understanding the emotional states of individual design team members will help us quantify interpersonal interactions and how those interactions affect resulting design solutions. The methodology presented in this paper enables automated detection of individual team member's emotional states using non-wearable sensors. The methodology uses the link between body language and emotions to detect emotional states with accuracies above 98%. A case study involving human participants, enacting eight body language poses relevant to design teams, is used to illustrate the effectiveness of the methodology. This will enable researchers to further understand design team interactions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Design Studies - Volume 39, July 2015, Pages 100–127
نویسندگان
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