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Com paring W eb Applications w ith Desktop Applications: An Em - - PowerPoint PPT Presentation
Com paring W eb Applications w ith Desktop Applications: An Em - - PowerPoint PPT Presentation
Com paring W eb Applications w ith Desktop Applications: An Em pirical Study Paul Pop paupo@ida.liu.se Department of Computer and Information Science Linkping University Sweden 1 of 13 May 26, 20 0 0 Motivation and Objective Draw
Com paring Web Applications with Desktop Applications: An Em pirical Study Paul Pop 2 of 13 May 26, 20 0 0
Motivation and Objective
Draw backs of desktop applications: development done on multiple platforms, have to downloaded before their use, administration and maintenance. W eb applications: thousands implemented in recent years, used by millions of users. Usability of w eb applications com pared w ith desktop applications.
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Definitions
Desktop application: WIMP, direct manipulation. W eb application: runs on a server and presents itself through a web browser. Examples: web based email, bookmark managers, personal information managers, web calendars, online banking.
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Calendaring Application
Our specifications for an application: cost and size. Calendaring applications:
- verview of a day, week, year;
add, delete and move events; find free slots and events; reminders, meeting planners, sharing, “to do” lists.
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Microsoft Calendar
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Yahoo!Calendar
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Study Setup: Tasks
- Training tasks.
- Tasks:
Go To From today, go to July 17. Add Add “Buy tickets” from 2pm, for 30 min. Move Move two consecutive events 1 hour. Undo Undo the previous move task.
- Time per task in seconds, errors.
- Small pilot study.
- Record and Playback: ScreenCorder.
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Study Setup, Continued
Six subjects: five male and one female. On average 48 minutes with the study. Allowed to abort tasks. Questionnaire: age from 25 to 27 years, median of 26.3 years, more than 5 years experience with computers, used computers more than 20 hours per week, three used the web applications,
- ne used calendaring applications before.
Lim itations: subjects, statistical analysis.
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Average Tim e per Task
10 20 30 40 50 60 70 80 90 100 Go To Add Move Undo Desktop Web
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Error Rates
Go To Add Move Undo MC YC MC YC MC YC MC YC OK 6 6 6 6 5 5 6 3 Error 1 1 2 Abort 1
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Usability Problem s
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Discussion
Hypothesis (confirmed): the performance of users will be significantly reduced. 3 factors: limited interaction mechanisms provided by web browsers, mismatch: user’s mental model and the application, delays from downloading the web pages.
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