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SEKE 2012 Proceedings - Knowledge Systems Institute

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USE SCENARIO<br />

The application VuelosFácil is an e-commerce web application<br />

developed for the acquisition of low cost airlines flight tickets. Task<br />

description: Assume that you are a person visiting the airline’s website<br />

because you are interested into book flight ticket as long as they fit<br />

on your vacations plans.<br />

In this particular case, from the available flights you are interested into<br />

booking 2 tickets from Barcelona to Granada on the date November,<br />

11 th 2011 at 10:30 AM. However, at choosing the flight you make a<br />

mistake and select the one at 6:00 a.m. Thus, you want to modify the<br />

flying time before submitting the booking.<br />

You shall:<br />

1. Once logged in, select scenario “Escenario #14” from the<br />

scenarios’ list that is available at the upper left corner of the<br />

screen.<br />

2. Click on “Iniciar”.<br />

3. Click on “Usuarios”.<br />

4. Choose the flight at 6:00 horas from Barcelona to Granada on<br />

November, 11 th 2011. To do so:<br />

a. Input “BCN-00” as source airport.<br />

b. Input “GRX-92” as destination airport.<br />

c. Input ”2011-11-11” as flight date<br />

d. Input 2 as the number of passengers.<br />

5. Click on “Mostrar vuelos” button.<br />

…….<br />

Figure 1. Scenario for the task “Book flight tickets”<br />

The corresponding usability attributes were measured<br />

as following: 1) Efficiency: difference between the means<br />

time in milliseconds to complete the task calculated as a<br />

CG/TG ratio value expressed as a percentage and 2)<br />

Relative Efficiency: Difference between the number of<br />

clicks per group with respect to the minimum number of<br />

clicks required to complete the task.<br />

Table III below shows the results for the increase in the<br />

efficiency attribute due to each mechanism. Notice that for<br />

all mechanisms but go back, the efficiency in the control<br />

and test group is statistically significant.<br />

A similar procedure was used to calculate relative<br />

efficiency, where 100% task efficiency was equivalent to<br />

the minimum number of clicks required to complete the<br />

task. Table IV lists the relative efficiencies of each group.<br />

As Table IV shows, we cannot assess the impact of the go<br />

back mechanism, as it is not statistically significant.<br />

We find, on the other hand, that the progress feedback<br />

and structured text entry mechanisms have a positive<br />

impact on the efficiency attribute, where structured test<br />

entry is the mechanism with the biggest impact. Regarding<br />

the relative efficiency attribute for the global undo<br />

mechanism, we can only calculate the relative efficiency of<br />

the test group, as it is impossible to undo operations if the<br />

mechanism is disabled, and once again the structure text<br />

entry mechanism is the one with the biggest impact.<br />

Qualitative data analysis<br />

Collected data<br />

Figure 2. Questionnaire for task “Book flight tickets”<br />

Both quantitative and qualitative data were collected on<br />

each participant. Quantitative data are composed of the<br />

time taken to perform the task, and the number of click for<br />

performing the task. These data were collected<br />

automatically without participant intervention. Qualitative<br />

data are participant responses to each task survey. There<br />

was no means of collecting these data without participant<br />

involvement. The data were collected by the developed<br />

web application and stored in a database.<br />

Quantitative data analysis<br />

We calculated the following indicators for each<br />

quantitative dataset:1) the mean number of click equivalent<br />

actions and 2) The mean time to complete the task in<br />

milliseconds. The Mann-Whitney U test [29] was used to<br />

check whether the differences between the mean variables<br />

for the control, and test group are statistically significant.<br />

We also calculate the mean values for each question in<br />

the questionnaire and group. We can calculate the mean<br />

response to each question, as the survey questions were<br />

rated on a 1-to-5 Likert scale [27]. We used these values to<br />

calculate the means.<br />

Question #1, Were you able to complete the task?, was<br />

the same in all surveys. This question was designed to<br />

measure the impact of each mechanism on the<br />

effectiveness attribute. It is justified by the fact that,<br />

according to [20], effectiveness can be measured according<br />

to user perceptions, and one such measure is “percentage<br />

of users successfully completing a task”.<br />

Table V shows the results for Question #1 of the survey<br />

for each evaluated mechanism. The impact of the progress<br />

feedback mechanism is inconclusive, as it is not<br />

statistically significant. We find that the global undo,<br />

structured text entry and go back mechanisms have a<br />

positive impact on effectiveness, where structured text<br />

entry has the biggest impact.<br />

602

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