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Web interface for machine learning as decision making support

Hegelund, Jacob LU and Ljungqvist, Alexander LU (2019) MAMM01 20191
Ergonomics and Aerosol Technology
Abstract
The thesis attempts to explore possibilities of implementing a user interface
visualization to a machine learning algorithm. As the algorithm in the thesis
does not take soft values into account, the visualization is meant to highlight
its’ drawbacks and aware the end user of how the results were generated. Therefore
the graphical representation is aimed to fortify the algorithm as decision
making support rather than decision making.

Machine learning algorithms differ thus making a general consensus towards a
graphical representation non-existent. In order to emphasize the user interface
aspects, the thesis writers gathered a selection of closely related phenomenon
and research articles both within the fields of design process... (More)
The thesis attempts to explore possibilities of implementing a user interface
visualization to a machine learning algorithm. As the algorithm in the thesis
does not take soft values into account, the visualization is meant to highlight
its’ drawbacks and aware the end user of how the results were generated. Therefore
the graphical representation is aimed to fortify the algorithm as decision
making support rather than decision making.

Machine learning algorithms differ thus making a general consensus towards a
graphical representation non-existent. In order to emphasize the user interface
aspects, the thesis writers gathered a selection of closely related phenomenon
and research articles both within the fields of design process and machine learning. (Less)
Please use this url to cite or link to this publication:
author
Hegelund, Jacob LU and Ljungqvist, Alexander LU
supervisor
organization
course
MAMM01 20191
year
type
H2 - Master's Degree (Two Years)
subject
keywords
machine learning, design, user interface, web
language
English
id
8974677
date added to LUP
2019-04-23 11:04:29
date last changed
2019-04-23 11:04:29
@misc{8974677,
  abstract     = {The thesis attempts to explore possibilities of implementing a user interface
visualization to a machine learning algorithm. As the algorithm in the thesis
does not take soft values into account, the visualization is meant to highlight
its’ drawbacks and aware the end user of how the results were generated. Therefore
the graphical representation is aimed to fortify the algorithm as decision
making support rather than decision making.

Machine learning algorithms differ thus making a general consensus towards a
graphical representation non-existent. In order to emphasize the user interface
aspects, the thesis writers gathered a selection of closely related phenomenon
and research articles both within the fields of design process and machine learning.},
  author       = {Hegelund, Jacob and Ljungqvist, Alexander},
  keyword      = {machine learning,design,user interface,web},
  language     = {eng},
  note         = {Student Paper},
  title        = {Web interface for machine learning as decision making support},
  year         = {2019},
}