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Gaze Assisted Ergonomics: Means of expediting computer usage for the physically impaired
KTH, School of Information and Communication Technology (ICT).
2014 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
Ögonassisterad ergonomi : Medel för att möjliggöra datoranvändning för rörelsehindrade (Swedish)
Abstract [en]

The degree project explores the interaction between computers and users who, due to physical impairments are unable to use computer mice and/or keyboards. The users are given alternative means of input,namely eye tracking and speech recognition. The interactions are studied using experiments that are based on the Wizard of Oz-method.The project also includes development of a framework used during the experiments and interfaces that are based on the results of the experiments. It is shown that eye tracking and speech recognition has the potential to allow a user full and efficient usage of a computer, without the need for a computer mouse or keyboard.

Abstract [sv]

Examensarbetet utforskar interaktionen mellan datorer och användare som på grund av någon form av funktionsnedsättning inte kan använda datormöss och/eller tangentbord. Användarna får tillgång till alternativamedel för inmatning, nämligen ögonstyrning och taligenkänning.Interaktionen studeras genom att utföra experiment som är baserade på Wizard of Oz-metoden. Examensarbetet inkluderar även utvecklingenav ett ramverk som används under experimenten samt prototyper på grafiska gränssnitt som baseras på resultaten av experimenten. Det visasatt dessa alternativa medel för inmatning har potentialen att ge en användare full och effektiv användning av en dator, utan behov för en datormus eller ett tangentbord.

Place, publisher, year, edition, pages
2014. , 77 p.
Series
TRITA-ICT-EX, 2014:23
Keyword [en]
Human-Computer Interaction (HCI), Java, Eye tracking, Speech recognition, Wizard of Oz-method.
Keyword [sv]
Människa-dator interaktion (MDI), Java, Ögonstyrning, Taligenkänning, Wizard of Oz-metod.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-177015OAI: oai:DiVA.org:kth-177015DiVA: diva2:869178
Examiners
Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2017-07-31Bibliographically approved

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Type fulltextMimetype application/pdf

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