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Authors
Daniel Giambalvo - dgiambal@wam.umd.edu
Ann Frolov - frolova@wam.umd.edu
Navid Norouzi - norouzi@wam.umd.edu
Abstract
Two Palm Pilot input methods, Graffiti and on-screen
keyboard were each studied for speed and subject preference on two
tasks, a memo field task an multiple field address task. The experiment
tested speed to correct completion of the four tasks. Twenty experienced
Palm pilot users participated in the study. This was a within subject
2 x 2 design. The subjects were timed on all for tasks, and were
given a satisfaction survey with questions to be rated on the scale
of 1-9. A two way ANOVA test was performed on the raw data. The
test showed no statistical significance in the comparison of the
mean speed of completion to correctness using Graffiti and on-screen
keyboard. A t-test performed on the survey responses concluded that
there was a statistically significant preference of Graffiti for
the memo field task. A t-test for the address field did not yield
a statistically significant difference in preference.
Introduction
Overview
A large trend
in the recent past has been a move to ever smaller, ever more portable
computing devices. Computers have become smaller over the years,
shrinking from the mainframe of 30 years ago to the laptop of today.
Technological and market forces have pushed today's computing devices
even beyond the size of a laptop. Mobile phones have begun to encompass
much more than simply phone calls, allowing email, access to the
web, and text communication. A new market has also emerged for so-called
personal digital assistants or PDA. These PDA, first popularized
by the Apple Newton, and later driven by other, even smaller devices,
offer organizational features storing telephone numbers, appointment
management, and basic note taking. They are also capable of running
third-party applications, including graphics programs, games, and
Web browsers.
PDA's have become extremely popular due to their small size and
quick access. Compact and light enough to be carried in a pocket
or a purse, they allow the user to take their life with them, offering
access to all the important people, dates, and other information
wherever they are. Furthermore, the ability to 'sync' with other
sources of information (such as email on the user's computer) has
enhanced their application.
The PDA however,
represents more than simply another step on the road to infinitely
small computing. Unlike past miniaturizations, such as the creation
of the laptop, the PDA requires a new paradigm of user-device interaction.
The PDA's focus on small size and mobility means that standard equipment
such as the keyboard is no longer a practical alternative. The PDA's
small size precludes the inclusion of a built in keyboard. Furthermore,
the PDA is often used with one hand, while standing, or on the move.
In these situations, using a keyboard would be a definite burden.
To overcome this, alternative methods of input had to be devised.
The
Palm Pilot (henceforth the Palm) by Palm
Computing is an example of a PDA. The Palm fits the description
of a PDA stated above. It comes with numerous built in applications,
as well as a standardized OS (PalmOS) on top of which other applications
can be written. Palm OS is probably the most popular platform available
today for PDAs. The PalmOS is designed to support a touch screen
interface with the use of a stylus. This stylus, which is essentially
a pen based input method, is used for clicking buttons, and selecting
menu items.
To overcome the task of text input without a standard keyboard,
the makers of PalmOS equipped the device with two alternative forms
of input. The first form of input is an on screen keyboard. The
PalmOS is capable of displaying on the screen a small keyboard,
which displays keys to be tapped by the stylus. By switching between
a few basic key-sets (letters, numbers, etc) users can enter in
any combination of characters. The on-screen keyboard is displayed
in parallel to any application the user is currently working with.
When the keyboard is closed, the entered text appears in the application.
The second
form of input is a handwriting recognition scheme known as graffiti.
Graffiti is a unistroke-type input language in which the user draws
symbols on the screen, which are then interpreted by the Palm as
characters. A unistroke language is a symbolic language where every
symbol in the language consists of one continuous stroke. Once familiar
with the symbol set, the users can enter the text with these Graffiti
stokes as an alternative to the onscreen-keyboard.
The purpose
of our experiment is to compare the speed and effectiveness of these
two methods of user input for the Palm Pilot. Our goal has been
to study the speed with which users, experienced with both methods
of input, could enter text. In order to get an idea of how task
differences affected the viability of these input methods, we tested
two different forms of input -- memo and address. We sought to determine
if there was a statistically significant performance difference
for either of these methods, and if that difference was linked to
the task performed.
Previous Research Material
There are several pieces of prior research, which
have built the case for our research. A study conducted in 1997
at the University of California at Berkley looked into usage patterns
of the Newton and the Palm Pilot [2].
The study looked into usage patterns as well as effectiveness of
Graffiti for the Palm Pilot. The study found that 74% of palm users
surveyed used the Palm more than 5 times a day. That was the highest
range they allowed for, so the average rate is potentially greater
than 5 [2]. This
figure is relevant for two reasons. Firstly, it states that there
is a large group of regular Palm users. Secondly, the large amount
makes optimal input usage more important. If the Palm were used
once a week, the amount of time potentially wasted on sub-optimal
input methods would be far less weighty. Based on the contents of
this study, we feel that there is a definite target group of users
who would benefit from research and improvement of the input device.
A second study conducted in 1994 by Scott MacKenzie of the University
of Guelph with several other researchers looked at numeric input
for several types of input methods, including both handwriting recognition,
pen based keypad, and two types of "pie pad" input methods.
The study tested 16 computer-savvy volunteers, asking them to enter
a set of numbers with all four input methods. The subjects' results
were analyzed both for speed and number of errors. The study found
that the pen-based keypad was both the fastest and most accurate
form of input with 98.8% accuracy, and a speed 30.4 wpm [3].
The second best input method was handwriting recognition with 89.6%
accuracy, and a speed of 18.5 words per minute. Subjectively speaking,
the keypad input was preferred only slightly over the handwriting
recognition. In further questioning, the study found that most users
actually preferred the handwritten recognition, but simultaneously
recognized that keypad was a more efficient way of entering data
[3].
There are several very interesting ramifications
of this study. Firstly, the study found that the keypad was the
most effective method of input. The keypad tested, correlated directly
to the on-screen keyboard on the Palm Pilot. However, this was compared
to a full-fledged handwritten recognition system. The Palm's recognition
of Graffiti, which is a unistroke symbolic language as mentioned
above, stands to benefit from being both quicker to write, and easier
to recognize. This may improve both speed and accuracy. Even more
interesting is the fact that users preferred to use the handwriting
recognition even though it was sub-optimal.
A third study, which was conducted 1995 at the
University of Bristol Research Laboratories, looked into how handwriting
recognition was differently suited for different tasks. The experiment
took subjects through 3 separate tasks, a diary type task where
entries were made in a diary, a name look up task from a database,
and a task where subjects had to compose a fax, requiring use of
both name and paragraph entry. Subjectively, it was found that users
felt handwriting recognition was far more effective for the name
lookup task than the diary entry, with the fax task falling somewhere
in the middle [4].
There was also a correlation between the accuracy of the users and
the effectiveness ratings they gave out, showing that as accuracy
drops, users become less content in using handwriting recognition.
The conclusion of the researchers is that as the ratio of errors
dealt with to payoff of the completing the task decreases, users
become less and less satisfied with handwritten recognition. The
paper also suggests a required accuracy rate of 97% - 99% for general
user acceptance of handwriting recognition [4].
Again, it is worthwhile to note two things about this study. First,
that it showed users may have different levels of satisfaction depending
on the task at hand. Secondly, that this study tested true handwriting
recognition, as opposed to the simpler and more accurate Graffiti,
is used on the Palm Pilot.
Scott MacKenzie conducted the fourth sighted research
in 1995 at the University of Guelph. The experiment studied the
immediate usability of Graffiti for new users. Subjects were asked
to use Graffiti with one minute of studying the Graffiti reference
chart, following five minutes of practice, and finally retested
after a one week period from the initial tests. The results from
this study were actually quite impressive. MacKenzie found that
after only one minute of practice, users on average showed an 85.5%
weighted accuracy (weighted by prevalence of different letters in
English language.) This rate was increased to 96.9% after only 5
minutes of practice. Even more startling was the fact that one week
later, the weighted accuracy rate for users was 97.2% (with an unweighted
accuracy of 95.8) [1].
These results seem to add support to the effectiveness of Graffiti
as a feasible input method for the Palm Pilot. By achieving the
97% target accuracy weight, found in earlier studies, this report
would seem to suggest that even for novice users Graffiti could
be very effective. The results suggest the improvement in usability
that Graffiti offers from older, more complex handwriting recognition
systems. Finally, MacKenzie suggests that with practice, user accuracy
might increase to as high as 99% [1].
This rate would match even the accuracy found for the keypad in
Dr. MacKenzie's earlier study [2].
In conclusion, we think that the available prior
research supports a lot of the questions we are targeting with our
study. While earlier methods of handwriting recognition seemed to
lack the accuracy necessary to satisfy the user, Graffiti is well
on the way to solving this problem. According to the above studies,
there is a definite difference in user satisfaction related to task
being performed, and users may have differing subjective preferences
for tasks. In addition, the users seem to have chosen handwriting
recognition over keypad entry even when keypad entry has provided
a better objective solution. Also, users stand to benefit from improved
data entry due to the Palm's substantial use. Finally, the same
high usage statistics create an environment, where experienced users
can feasibly choose between the keypad and Graffiti, possessing
sufficient skill in both.
Relevant Theories and Observations
There
are also some observations and theories which may prove helpful
in understanding the advantages and disadvantages of the two input
methods being tested. The on screen keyboard is assumed to require
little or no actual training. While Graffiti requires the user to
be aware of special strokes, which symbolize characters, the keyboard
requires only the ability to recognize the Roman alphabet and tap
on the appropriate characters. The keyboard is in a standard QWERTY
layout. Even those not familiar with the QWERTY layout can fairly
easily find the characters they are looking for by scanning. Indeed,
even for typists, the ability to automatically hit a key does not
necessarily translate to improved speed when taping on the keypad.
The keypad also has its disadvantages. Many
of these are related to standard difficulties associated with pen-based
input. One disadvantage is that the users hand blocks their view
of the keypad [5].
This may require the users to remove their hands to find the next
character, slowing the progress. Also, with the small size of the
keyboard, the user must be careful to tap the correct key. Missing
by as much as a quarter of an inch can result in entering the wrong
character. It has also been noted that the onscreen keyboard requires
the user to look at the keyboard, distracting them from looking
at what they've typed.
Graffiti
is seemingly the more radical input method for the Palm. Unlike
the on screen keyboard, which requires little to no training, Graffiti
users have to learn a new set of keystrokes to be able to use it
effectively. While studies have shown this learning curve to be
relatively shallow, it is still greater than using the keypad. Despite
these differences, MacKenzie is quick to point out there are some
similarities between Graffiti and standard keyboard inputs [1]:
- Graffiti's input is character by character.
- Graffiti allows the user's eyes to fixate
on the application's insertion point rather than on the input
device.
- Graffiti uses modes to access uppercase
characters and special symbols
These features, which offer advantages to
the keyboard user, may similarly enhance the Graffiti user's experience.
Graffiti represents a merger between the
standard Roman character set and the rules of a unistroke symbolic
language. By mimicking the Roman alphabet, Graffiti possesses the
dual benefits of making it easier to learn, and easier to remember.
This is important since Graffiti is based on recall, rather than
recognition [2].
The recall requirement is actually one of the disadvantages of Graffiti
because it puts a strain on the users' memory (at least initially.)
By adhering to the unistroke philosophy,
Graffiti possesses two advantages over basic handwriting recognition.
Firstly, it eliminates the "segmentation problem" which
arises from the difficulty in recognizing when one multi-stroke
character ends and a second begins [1].
Secondly, it renders spatial relationships between characters irrelevant
[1]. With handwritten
text, letters move generally to the right of the preceding character.
With Graffiti, however, they can be written on top of each other
without confusion because each character is one stroke, and one
stroke only. These two factors are instrumental in making Graffiti
faster to and more accurate to use than previous handwriting techniques.
At the same time, there are some definite disadvantages to Graffiti
as pointed out by MacKenzie [1].
Firstly, there is the problem of misinterpretation of input. While
this is a potential problem with a standard keyboard as well, it
is enhanced by the fact that the range of misinterpretation is much
larger than simply adjacent keys. It is highlighted that this is
especially true of gestures like delete, carriage return, or cut/paste.
Also, while most characters closely resemble their Roman counterparts,
certain letters do not; and users are likely to encounter more trouble
with them. This, however, may be less of a burden to the experienced
user.
Experiments
Introduction
Our experiment
tested 20 experienced Palm and Graffiti users on their ability to
complete two tasks both with the on screen keyboard and Graffiti.
We used a within subjects design, with each subject performing a
memo and address entry task first with input method, and then performing
the same tasks with similar input using the alternative input method.
For each task/input method combination we recorded the time to correct
completion of the data entry. Timing was tracked by a custom Palm
application which automatically compared entered text to a predefined
input set. After all four tasks were completed; the subjects were
given a survey to assess subject satisfaction.
Our hypothesis
was that Graffiti would be a faster method of data input than the
onscreen keyboard. Graffiti was shown to be relatively easy to learn,
and experienced Graffiti users were likely to be quite fast with
it. Also, Graffiti offered advantages when it came to error detection
and the ability to focus visually on the input, rather than the
onscreen keyboard. We also believed Graffiti would achieve a higher
advantage over the keyboard on the address entry task, as it required
moving to different fields. With the onscreen keyboard, such field
movement required multiple entries and exits of the keyboard.
As described
above, our project utilized a two by two cell design. Our independent
variables were as follows:
- Input Method
Treatments: onscreen keyboard, Graffiti
- Input Task
Treatments: single filed memo entry, multiple field address entry.
Our dependent variables were the time to correct completion and
subject preference of subjects.
Pilot Study Results
Two subjects were tested in the pilot study. Each was timed to
determine how long each component of the test took. The average
total time for subjects was 18:47. Approx. 6 minutes of that was
devoted to entering the memo field. It was decided that this task
should be shortened to speed users test time.
It was also determined that more elaborate instructions had to
be written. The previous method of a brief explanation followed
by questions left the subjects too uncertain of their purpose. It
was also noted that the pilot subjects had a lot of questions which
we did not anticipate. These included questions about the experimental
steps, how the timing program would track the subject, and how error
correction should be handled by the user. The more elaborate instructions
sought to answer some of these questions.
We also found that we had to more clearly emphasize certain aspects
of the process. During the timed phases, subjects stopped to ask
questions. This obviously skewed the timing. The practice phase
was also found to contain unnecessary characters and these were
eliminated. Finally, we decided to provide a chart of Graffiti characters
as a reference, similar to that included with the Palm.
Subjects
As stated above, our subjects consisted of 20 experienced Palm
Pilot users. Our subjects were all male, and primarily from the
computer science department of the University of Maryland. Finding
experienced Graffiti users was a difficult task, and despite the
element of homogeneity that our test group contains, it was the
best alternative available. All subjects claimed to be "experienced
Graffiti users", and had used Graffiti for at least one month prior
to being subjects.
Materials
The materials for this experiment consisted of:
- A permission form
- 2 Palm Pilots (one IIIxe, one V)
- Written instructions
- Printed input for each task
- Graffiti First
- keyboard first
- The subject survey
- Graffiti chart
The permission form was a standard subject authorization form which
all subjects signed prior to participating in the experiment. The
two Palm Pilots were each loaded with our timing software. A different
set of test input was loaded into each Palm so that subjects could
rapidly move between input methods. The timing software started
with a begin button which the subject had to click. Upon clicking,
the test began. The subjects were then presented with a series of
lines on which to enter the memo field. When the users were finished
with the memo field (input was correctly entered) they would be
displayed with a time in seconds which was recorded. They would
then be shown three smaller fields on which to enter address information.
After the address information was correctly entered, a second time
was displayed. The program would then return to the begin button.
The written instructions were read to each subject prior to being
tested. The printed input was used by the subjects during testing.
Each subject had to enter in two memo field, as well as two addresses
field. Because half of the subjects would use the keyboard first,
and half the Graffiti first, two versions of the input were produced.
Both versions also contained the warm up input which the users entered
prior to being tested. In addition, a Graffiti chart was available
on hand for the subjects to use while conducting the experiment.
Finally, we had a set of surveys which each subject filled out when
finished with the experiment.
Procedures
Before we tested subjects we sat them at a table with the two Palm
Pilots in front of them. These Palm Pilots were prepared to test
the subjects, loaded with the proper input to expect. Also displayed
was Graffiti reference chart, and the top of the input data sheet.
We first read the instructions to each subject. Following the instructions,
any questions the subject had were answered. Next, the subject performed
a warm-up exercise. The warm-up exercise consisted of entering a
string of characters, numbers, and punctuation into a memo field.
The subject was instructed to enter the string both with the onscreen
keyboard, as well as Graffiti.
After the warm-up, the subject was again given an opportunity to
ask questions. After any additional questions were answered, the
actual experiment was conducted. The subject would enter in the
memo input with their first input method. When correct completion
was achieved, a time in seconds was displayed and recorded. Following
the recording, the subject would be taken to a separate screen and
prompted to enter the three field address information. After correct
completion, a time would again be displayed and recorded. This would
complete the first half of testing with one of the two inputs. The
test would then be repeated on the other Palm Pilot with the other
input method
After all testing was complete the subjects were given a survey
to fill out.
Problems
There are a couple of problems the pilot study did not reveal,
but which became evident during our testing. One of the primary
sources of problems was in users detecting their errors. In both
keyboard and Graffiti, subjects often spent a large amount of time
finding their mistakes. It could be argued that this is not ideal,
as most of the tasks that a PDA is used for do not necessarily require
perfection. Also, it would have been helpful if the software offered
some indication to the user of where mistakes were. Often, even
though there were mistakes, the subject couldn't find them and began
to doubt the program. This situation was further gravened by the
fact that the program was white space sensitive.
It was also difficult to find subjects, and difficult to accurately
determine if they were experienced or not. At least one or two people
claimed to be experienced palm users, when in fact they did not
know Graffiti well. Most users did not need the reference chart
and flew right through the Graffiti test. A more extensive survey
would have helped uncover these differences.
Thirdly, some users were so unfamiliar with the on-screen keyboard
that they did not understand they had to exit it for different fields.
This caused confusion with some users. Also, the address entry was
somewhat confusing because there were 3 sets of 3 lines, and 3 lines
in the address. People often tended to put the address on the first
three lines. This also led to questions about the allowance of things
like cut and paste. We decided to allow cut and paste.
Results
The raw data can be viewed in Appendix A.
The experiment measured time to correct
completion of four tasks
- Memo field using Graffiti, Address Fields using Graffiti, Memo
Field using Onscreen Keyboard and Address Fields using Onscreen
Keyboard. The table with mean and standard deviation for the 4 tasks
is shown in [figure 1]. The graphical representation of this data
is shown in [figure 2].


Since there are 2 independent variables - input method and form
of input, a 2 way Analysis of Variance (ANOVA) with replication
has been calculated. The excel spreadsheet with the calculations
can be seen in [figure 3].

| |
Memo Field |
Address Field |
| Keyboard |
|
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| Graffiti |
|
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example of 2x2 cell design
|
H0 input method: There is no difference in average times to correct
completion with the different input methods.
Critical value for testing the H0 at level of significance of .05
is 3.49. Since F of 1.389811< F critical of 3.9667, we do not
reject the null hypothesis that there is no difference in average
times to correct completion with the input method. (Graffiti v.
Keyboard) The test has shown no statistically significant difference
between Graffiti and Keyboard.
H0 input form: There is no difference in average times to correct
completion with the different form inputs.(Memo Field v Address
Fields) Critical value for testing the H0 at level of significance
of .05 is 3.9667. Since 22.79983 > 3.966761, we reject the null
hypothesis in favor of the assertion that time to completion varies
with the type of input form. There is significant statistical difference
in performing a memo field task versus an address field task.
Subjective Satisfaction
In order to assess the subjective satisfaction of the two input
methods, 2 t-tests were performed on question 1 (effectiveness of
Graffiti in memo field Task) & question 2 (effectiveness of
Keyboard in memo field Task) and question 3 (effectiveness of Graffiti
in Address fields Task) & question 4 (effectiveness of Keyboard
in Address field Task) respectively. The results from the Excel
calculation can be seen in figure [4a,b] below. The user preference
for Graffiti in the memo field showed to be statistically significant
(t = -3.4, p=0.00088) at alfa=0.05 significance level. User preference
for Graffiti in the address fields however, has not shown to be
statistically significant (t= -1.95, p=.06579).


The table with the mean and standard deviation for the 4 questions
can be seen in [figure 5]. The graphical representation of the data
is shown in [figure 6].


Discussion
In the analysis of our experiment, the 2WAY ANOVA test revealed
no statistical significance in the difference between Graffiti and
Keyboard input methods. Therefore, there was no found statistically
signifigant advantage to for the onescreeen keyboard or Graffiti
as a method of input.
The test did yielded statistical significance between different
form inputs. This second result was anticipated because the two
different kinds of input forms required different amounts of time
and were not equivalent in character length. However, the lack of
statistical significance for the different input methods conflicts
with our original hypothesis.
We believe that there were several key factors in the experiment
that have lead to such results. The lack of statistical significance
can be mainly attributed to the fairly small number of subjects
tested (n=20) and the high variance of the results. In order to
accurately record "correct completion," the experiment
utilized a program, as described in the above section of the paper.
The program, showed no indication of where an error may be; it simply
did not allow the user to exit until the problem was fixed. Several
subjects were able to type in all the input without any glitches,
showing instrumental speeds with Graffiti. However some equally
skilled subjects lost substantial amounts of time trying to track
down the error they may have made early on.
Opening our experiment to "expert Palm users" we inadvertently
left things up to interpretation. One month use of Graffiti was
set as a minimal requirement, but this may have been an insufficient
determinant of what expert users were. We discovered that there
were complex differences in the way an "expert" may utilize
the Palm. We have found that the 1-6 Month "experts" tended
to favor the keyboard and had not had utilized graffiti as much
as others. As the time of use increased, we encountered the opposite.
The more experienced "experts" mainly used Graffiti and
were unaware of some relatively simple concepts related to the keyboard
(such as exiting the keyboard at each address field). This further
skewed the data. The survey results revealed the overall trend in
preference towards Graffiti for the memo field, which the numbers
did not reflect due to the loss of time subjects had in tracking
down their mistakes. We were able to quantify some of this information
only at the conclusion of the experiment, see table below for subjects'
primary input method and the time span of using the Palm.
As shown in [figure 7] 80% (16/20) subjects use Graffiti as their
primary method of input. This further supports the statistical significance
in the preference toward Graffiti in the Memo task. As mentioned
above, our one month required familarity time with Graffiti standard
proved to be insufficient.

Subject comments
The subjects were very cooperative in participating in the experiment.
A lot of them were frustrated after not being able to track down
their mistakes and losing time. They felt under pressure when they
could not easily find the mistakes. The program also tracked white
space, which made it even more difficult to find mistakes such as
missing carriages returns and tabs.
Interestingly, subjects also tended to comment on their likes or
dislikes of Graffiti or the onscreen keyboard. Many of these comments
matched points dicovered in background research. For example, several
subjects commented on how Graffiti allowed them to look at the text
they were writing, rather than the PDA itself. It was also metioned
that the onscreen keyboard offered the advantage of immediate feedback.
When you click a key, it immediately shows you which key you clicked.
Conclusions
Impact for
Practitioners
Our test revealed no statistical significance between Graffiti
and Keyboard input methods. Hence, one can say that
practitioners have no need to learn graffiti if they are used
to using the onscreen keyboard or vice versa since there is no
statistically significant difference. However, learning both methods may
reveal that a user may prefer different input methods for specific tasks.
Suggestions for future researchers
The first suggestion for future researchers is to confirm the
fact that subjects are experienced Palm Pilot users. To make
sure that all subjects have a common level of skill pertaining
to the Palm onscreen keyboard and graffiti, they should be
administered a test to determine if they can participate in the
experiment. To pass the test, the subjects must complete a
mini-experiment within a certain time. The mini-experiment
will make sure that all subject have the minimum amount of
experience required. Also, more subjects should be
tested; instead of 20 subjects, 40 subjects seem more
appropriate because our data from subjects was so varied.
The second suggestion has to do with the Palm Pilot
program, which we used to test our subjects. The idea to use a
Palm Pilot program, which records the amount of completion time
automatically, is very useful. However, our program was too
rigid with spacing when validating the data entered. The
subject's time was affected by this ambiguity. Also, our
program tested a large memo field and 3 small fields. This is
a good representation of the type of forms people fill out
using Palm Pilots, but it is not nearly comprehensive. The
Palm usually has more applications that have more than one
input fields. This is important because the more input fields
you have, the longer it takes to enter data using the onscreen
keyboard because the keyboard covers the screen, once loaded,
and must be unloaded to move to another field. Future
researchers should consider this fact and make an experiment
that tests more input fields.
Refine the theory or develop a new one
Originally we had proposed that Graffiti would be
faster than the onscreen keyboard with the experienced
user. However, our results did not yield statistically
significant difference in the speed of performance to correct
completion. The definition of an experienced Palm user is
extremely broad and practitioners may specialize in specific
tasks. Depending on the nature of the task and the user's
preferences, the user may become more proficient with either
Graffiti or on-screen keyboard.
Other suggestions
Perhaps it would be worthwhile to recruit novice users for a
similar experiment and guide them through a period of training
in both Graffiti and on-screen keyboard, devoting the same
amount of time to both. With that approach, the variability in
the subjects' skills could be reduced. To learn more about the
situational preferences of each input a variety of surveys may
be conducted and experiment tasks can be set up
accordingly. This may be useful in improving the input methods
to better tailor the customer needs.
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