scholarly journals Applying Action Design Research (ADR) to Develop Concept Generation and Selection Methods

Procedia CIRP ◽  
2016 ◽  
Vol 50 ◽  
pp. 222-227 ◽  
Author(s):  
Anna Malou Petersson ◽  
Jan Lundberg
MIS Quarterly ◽  
2011 ◽  
Vol 35 (4) ◽  
pp. 1099 ◽  
Author(s):  
DeGross

2019 ◽  
Vol 5 (1) ◽  
pp. 139-139
Author(s):  
Iana Uliana Perez ◽  
Aguinaldo Dos Santos

A presente dissertação de mestrado foi realizada junto ao Núcleo de Design & Sustentabilidade, grupo de pesquisa do Programa de Pós-Graduação em Design da Universidade Federal do Paraná. Seu objetivo é identificar e sistematizar heurísticas para aplicação dos princípios do open design ao desenvolvimento de vestuário mais sustentável, com utilização predominante de tecnologias de fabricação digital. Após a aplicação do método Action Design Research, o qual envolveu ciclos iterativos de desenvolvimento e avaliação de artefatos, foram sistematizadas oito heurísticas associadas ao desenvolvimento de vestuário, as quais foram generalizadas para três classes de problemas: incentivo à personalização, facilidade de montagem e sustentabilidade.   


Author(s):  
Gregory M. Hallihan ◽  
Hyunmin Cheong ◽  
L. H. Shu

The desire to better understand design cognition has led to the application of literature from psychology to design research, e.g., in learning, analogical reasoning, and problem solving. Psychological research on cognitive heuristics and biases offers another relevant body of knowledge for application. Cognitive biases are inherent biases in human information processing, which can lead to suboptimal reasoning. Cognitive heuristics are unconscious rules utilized to enhance the efficiency of information processing and are possible antecedents of cognitive biases. This paper presents two studies that examined the role of confirmation bias, which is a tendency to seek and interpret evidence in order to confirm existing beliefs. The results of the first study, a protocol analysis involving novice designers engaged in a biomimetic design task, indicate that confirmation bias is present during concept generation and offer additional insights into the influence of confirmation bias in design. The results of the second study, a controlled experiment requiring participants to complete a concept evaluation task, suggest that decision matrices are effective tools to reduce confirmation bias during concept evaluation.


Author(s):  
Jayson Vucovich ◽  
Nikhil Bhardwaj ◽  
Hoi-Hei (Terence) Ho ◽  
Manjeshwar Ramakrishna ◽  
Mayur Thakur ◽  
...  

Modern product and engineering design research explores methods for formally generating design concepts from stored knowledge. We discuss a design methodology which utilizes archived design knowledge gained from product dissection to aid novice designers in developing new product designs. In this design paradigm, new designs are developed as a model of the product’s intended functionality, rather than a model of actual, physical components. This paper formulates an algorithm to automatically generate a set of components to instantiate such a functional model using archived design knowledge, which maps components to the functions they can satisfy and provides precedents for which components can be connected. In order to avoid generating an exponential number of instantiations, component failure data is leveraged to develop a dynamic programming algorithm. In addition, a method which uses this information to train a Hidden Markov Model is also developed. This Hidden Markov Model is consulted to generate a set of instantiations with low failure rates while avoiding exponential runtime.


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