HIGH-RESOLUTION ELECTROFACIES USING MACHINE LEARNING TO DECRYPT HIGH PORO-PERM ZONES IN CYCLIC SUCCESSION OF PLIOCENE BIOCLASTIC LIMESTONE: CASE STUDY FROM MADURA STRAIT AREA, EAST JAVA BASIN

2020 ◽  
Author(s):  
Sarvagya Parashar ◽  
◽  
Ivan Wu Zhia Ming ◽  
Iko Sagala ◽  
◽  
...  
i-com ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 19-32
Author(s):  
Daniel Buschek ◽  
Charlotte Anlauff ◽  
Florian Lachner

Abstract This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners’ needs and practices.


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