Informationsaustausch in Prototypingprozessen: Bestimmung und Beschreibung von Störgrößen

Abstract

Innovation requires methodologies that enable the continuous development of effective and context-relevant solutions. Thus, the frequent comparison of development goals and actual user needs is of crucial importance. Prototyping is a widely used tool for User Integration that supports the mutual process of understanding between designer and user. Yet, this usage of nonverbal communication in the course of the process is ambiguous and brings along its specific challenges for the designer. An enhanced system description of the prototyping process seems necessary to provide the developer with wellfounded and comprehensible guidelines. Therefore, the present work analyses the similarities and differences of disturbance variables the designer may encounter in different prototyping processes.

Machine learning implementation in small and medium-sized enterprises: insights and recommendations from a quantitative study

“…The confounding variables are typically either the actual pattern of the dataset or significantly affect the regression results, skewing the results. Accordingly, the more precisely a system can be described, the better it can be controlled [26]. First, outliers were identified utilizing an analysis of the standardized residuals.…”