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Clicking using the eyes, a machine learning approach.
Linköping University, Department of Computer and Information Science, Human-Centered systems.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis report describes the work of evaluating the approach of using an eye-tracker and machine learning to generate an interaction model for clicks. In the study, recordings were done from 10 participants using a quiz application, and machine learning was then applied. Models were created with varying quality from a machine learning view, although most models did not work well for interaction. One model was created that enable correct interaction 80\% of the time, although the specific circumstances for success were not identified. The conclusion of the thesis is that the approach works in some cases, but that more research needs to be done to evaluate general suitability, and approaches to make it work reliably.

Place, publisher, year, edition, pages
2015. , 53 p.
Keyword [en]
Eye-tracking, interaction, click, machine-learning
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-121834OAI: oai:DiVA.org:liu-121834DiVA: diva2:859868
External cooperation
Attentec AB
Presentation
2015-10-02, Alan Turing, Linköpings Universitet, Linköping, 22:54 (Swedish)
Supervisors
Examiners
Available from: 2015-10-14 Created: 2015-10-08 Last updated: 2015-10-14Bibliographically approved

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fulltext(9184 kB)164 downloads
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File name FULLTEXT01.pdfFile size 9184 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf