Low Impact Development Technology: Design Methods and Case Studies

Author(s):  
Jan Bosch ◽  
Helena Holmström Olsson ◽  
Ivica Crnkovic

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in industry. However, based on well over a dozen case studies, we have learned that deploying industry-strength, production quality ML models in systems proves to be challenging. Companies experience challenges related to data quality, design methods and processes, performance of models as well as deployment and compliance. We learned that a new, structured engineering approach is required to construct and evolve systems that contain ML/DL components. In this chapter, the authors provide a conceptualization of the typical evolution patterns that companies experience when employing ML as well as an overview of the key problems experienced by the companies that they have studied. The main contribution of the chapter is a research agenda for AI engineering that provides an overview of the key engineering challenges surrounding ML solutions and an overview of open items that need to be addressed by the research community at large.


1998 ◽  
Vol 13 (4) ◽  
pp. 259-272 ◽  
Author(s):  
Lorna Heaton

The past decade has seen the development of a perspective holding that technology is socially constructed. This paper examines the social construction of one group of technologies, systems for computer supported cooperative work (CSCW). It compares the design of systems for computer supported cooperative work (CSCW) in Scandinavia and Japan with particular attention to the influence of culture on the resulting products. Two case studies are presented to illustrate the argument that culture is an important factor in technology design, despite commonly held assumptions about the neutrality and objectivity of science and technology. The paper further proposes an explanation for why, despite similar technical backgrounds and research interests, CSCW design is conducted differently and produces different results in Denmark and Japan. It argues that, by looking at CSCW systems as texts which reflect the context of their production and the society from which they come, we may be better able to understand the transformations that operate when these texts are ‘read’ in the contexts of their implementation.


2020 ◽  
Vol 9 (7) ◽  
pp. 439
Author(s):  
Arzu Çöltekin ◽  
Ian Lochhead ◽  
Marguerite Madden ◽  
Sidonie Christophe ◽  
Alexandre Devaux ◽  
...  

This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research.


2004 ◽  
Vol 2004 (4) ◽  
pp. 524-535
Author(s):  
Daniel E. Medina ◽  
Patrick Graham ◽  
Jared Thorpe ◽  
Avinash Patwardhan ◽  
Timothy Hare

2020 ◽  
Vol 1 ◽  
pp. 1901-1910
Author(s):  
A. M. Hein ◽  
G. Lamé

AbstractEngineering design methods are typically evaluated via case studies, surveys, and experiments. Meanwhile, domains such as the health sciences as well as software engineering have developed further powerful evaluation approaches. The objective of this paper is to show how evaluation approaches from the health sciences and software engineering might further the evaluation of engineering design methods. We survey these approaches and show which approaches could be transferred to the evaluation of engineering design methods.


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