Human Machine Epistemology Survey

التفاصيل البيبلوغرافية
العنوان: Human Machine Epistemology Survey
المؤلفون: Nazin, Rémi, Fass, Didier
المصدر: Vincent G. Duffy. HCI Interantional 2016, Aug 2015, Los Angeles, United States. Springer, LNCS 9184, pp.12, 2015, Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Human Modeling
سنة النشر: 2016
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Human-Computer Interaction
الوصف: Pluridisciplinar convergence is a major problem that had emerged with Human-Artefact Systems and so-called " Augmented Humanity " as academical fields and even more as technical fields. Problems come mainly from the juxtaposition of two very different types of system, a biological one and an artificial one. Thus, conceiving and designing the multiple couplings between them has become a major difficulty. Some came with reductionnist solutions to answer these problems but since we know that a biological system and a technical system are different, this approach is limited from its beginning. Using a specifically designed questionnaire and statistical analysis we determined how specialists (medical practitioners, ergonomists and engineers) in the domain conceive themselves what is a Human-Artifact System and how they relate to existent traditions and showed that some of them relate to the integrativist views.
نوع الوثيقة: Working Paper
DOI: 10.1007/978-3-319-21073-5_35
URL الوصول: http://arxiv.org/abs/1602.03757
رقم الأكسشن: edsarx.1602.03757
قاعدة البيانات: arXiv
الوصف
DOI:10.1007/978-3-319-21073-5_35