Accurate Interaction for Mobile Applications
Mobile devices place many constraints on interaction compared to desktop interaction, limiting task performance and the number of achievable task types. Despite the industry focus on improving mobile interface designs and hardware, many common tasks (e.g., navigation and precise selection) remain di...
Main Author: | |
---|---|
Other Authors: | |
Format: | Others |
Language: | en |
Published: |
VANDERBILT
2015
|
Subjects: | |
Online Access: | http://etd.library.vanderbilt.edu/available/etd-03162015-102736/ |
id |
ndltd-VANDERBILT-oai-VANDERBILTETD-etd-03162015-102736 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-VANDERBILT-oai-VANDERBILTETD-etd-03162015-1027362015-03-27T05:19:11Z Accurate Interaction for Mobile Applications Hayes, Sean Timothy Computer Science Mobile devices place many constraints on interaction compared to desktop interaction, limiting task performance and the number of achievable task types. Despite the industry focus on improving mobile interface designs and hardware, many common tasks (e.g., navigation and precise selection) remain difficult to perform on a mobile device, but are easy to perform on a computer with a large screen and peripheral input devices (e.g., keyboard and mouse). People are regularly forced to choose between the convenience of performing tasks on-to-go and the ease of use that is limited to desktop and laptop computers. This dissertation research improves mobile-interaction performance for common tasks involving large-scale spatially-related information. Focusing on the interaction, rather than the visualization, interaction performance is improved through the use of novel indirect touch interaction techniques, adaptive control-display ratio enhancements, and device motion gestures. Novel performance models have been developed and validated to better understand the factors that impact mobile interaction performance, predict performance for a system, and provide tools for optimizing user interface designs and future interaction techniques. Julie A. Adams Robert E. Bodenheimer Douglas C. Schmidt James H. Steiger Daniel J. Wigdor VANDERBILT 2015-03-26 text application/pdf application/octet-stream http://etd.library.vanderbilt.edu/available/etd-03162015-102736/ http://etd.library.vanderbilt.edu/available/etd-03162015-102736/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
collection |
NDLTD |
language |
en |
format |
Others
|
sources |
NDLTD |
topic |
Computer Science |
spellingShingle |
Computer Science Hayes, Sean Timothy Accurate Interaction for Mobile Applications |
description |
Mobile devices place many constraints on interaction compared to desktop interaction, limiting task performance and the number of achievable task types. Despite the industry focus on improving mobile interface designs and hardware, many common tasks (e.g., navigation and precise selection) remain difficult to perform on a mobile device, but are easy to perform on a computer with a large screen and peripheral input devices (e.g., keyboard and mouse). People are regularly forced to choose between the convenience of performing tasks on-to-go and the ease of use that is limited to desktop and laptop computers.
This dissertation research improves mobile-interaction performance for common tasks involving large-scale spatially-related information. Focusing on the interaction, rather than the visualization, interaction performance is improved through the use of novel indirect touch interaction techniques, adaptive control-display ratio enhancements, and device motion gestures. Novel performance models have been developed and validated to better understand the factors that impact mobile interaction performance, predict performance for a system, and provide tools for optimizing user interface designs and future interaction techniques. |
author2 |
Julie A. Adams |
author_facet |
Julie A. Adams Hayes, Sean Timothy |
author |
Hayes, Sean Timothy |
author_sort |
Hayes, Sean Timothy |
title |
Accurate Interaction for Mobile Applications |
title_short |
Accurate Interaction for Mobile Applications |
title_full |
Accurate Interaction for Mobile Applications |
title_fullStr |
Accurate Interaction for Mobile Applications |
title_full_unstemmed |
Accurate Interaction for Mobile Applications |
title_sort |
accurate interaction for mobile applications |
publisher |
VANDERBILT |
publishDate |
2015 |
url |
http://etd.library.vanderbilt.edu/available/etd-03162015-102736/ |
work_keys_str_mv |
AT hayesseantimothy accurateinteractionformobileapplications |
_version_ |
1716798051034595328 |