Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi

Ticket machine has been defined as public technology devices. Despite of its convenience, there are groups of people, known as functional illiterate cannot fully utilize the use of this technology. It's due to their disability to read text and poor presentation of ticket machine interface desig...

Full description

Saved in:

Bibliographic Details
Main Author:	Norlie Manggi, Carolyne@Khairulisa
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Testing of software
Online Access:	https://ir.uitm.edu.my/id/eprint/65687/1/65687.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.65687
record_format	uketd_dc
spelling	my-uitm-ir.656872022-09-22T08:31:16Z Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi 2008 Norlie Manggi, Carolyne@Khairulisa Testing of software Web-based user interfaces. User interfaces (Computer systems) Ticket machine has been defined as public technology devices. Despite of its convenience, there are groups of people, known as functional illiterate cannot fully utilize the use of this technology. It's due to their disability to read text and poor presentation of ticket machine interface design, which is using fully text-based. Thus, non-text interface design using Linguistic Typology could possibly eradicate this problem. This project studied and analyzed the features of Linguistic Typology, determined and design non-text elements that can represent ticket machine transaction process using linguistic typology and finally develop the simulation of non-text ticket machine interface design using Linguistic Typology. The arrangement of the icons are followed the Verb-Subject-Object and Verb-Subject order based on Linguistic Typology. This simulation guides the users to make the transaction process in sequential steps. Linguistic typology is suitable for ticket machine transaction design because people can make a simple phrase based on the icons' arrangement that they have been chosen. Thus indirectly improve the learnability on ticket machine interface design. The users are guided properly using non-texts element such as sounds, animations and pictures. 2008 Thesis https://ir.uitm.edu.my/id/eprint/65687/ https://ir.uitm.edu.my/id/eprint/65687/1/65687.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Saman, Fauzi
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Saman, Fauzi
topic	Testing of software Testing of software
spellingShingle	Testing of software Testing of software Norlie Manggi, Carolyne@Khairulisa Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
description	Ticket machine has been defined as public technology devices. Despite of its convenience, there are groups of people, known as functional illiterate cannot fully utilize the use of this technology. It's due to their disability to read text and poor presentation of ticket machine interface design, which is using fully text-based. Thus, non-text interface design using Linguistic Typology could possibly eradicate this problem. This project studied and analyzed the features of Linguistic Typology, determined and design non-text elements that can represent ticket machine transaction process using linguistic typology and finally develop the simulation of non-text ticket machine interface design using Linguistic Typology. The arrangement of the icons are followed the Verb-Subject-Object and Verb-Subject order based on Linguistic Typology. This simulation guides the users to make the transaction process in sequential steps. Linguistic typology is suitable for ticket machine transaction design because people can make a simple phrase based on the icons' arrangement that they have been chosen. Thus indirectly improve the learnability on ticket machine interface design. The users are guided properly using non-texts element such as sounds, animations and pictures.
format	Thesis
qualification_level	Bachelor degree
author	Norlie Manggi, Carolyne@Khairulisa
author_facet	Norlie Manggi, Carolyne@Khairulisa
author_sort	Norlie Manggi, Carolyne@Khairulisa
title	Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
title_short	Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
title_full	Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
title_fullStr	Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
title_full_unstemmed	Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi
title_sort	non-text ticket machine interface design using linguistic typology / carolyne norlie manggi@khairulisa norlie manggi
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/65687/1/65687.pdf
_version_	1783735570240897024

Non-text ticket machine interface design using linguistic typology / Carolyne Norlie Manggi@Khairulisa Norlie Manggi

Similar Items