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The study had an immediate "self-auditing" influence on the
behaviour of most participants. Many indicated that taking
part in the study had caused them to think more about PIM
than they normally would, and to plan future strategy
changes. Twelve performed ad-hoc tidying during the
interviews, e.g. deleting files they had forgotten about.
Fourteen also reported historical strategy changes from
before the study. Five participants reported historical
changes in file strategy, all of which involved increases in
organization: (P31: “I went through a phase of completely
working on my desktop but it gets very cluttered”). In email,
seven participants reported historical changes - three
increases and four decreases in organizing tendency: (P12:
“I used to have lots of folders for each sub-project but there
wasn’t enough time to manage them. Ideally there’d be rich
structure but the hierarchy is now flattened”). Five of the six
reported changes in the bookmark context involved a
decrease in organization (e.g. abandoning all folders).
Eight participants proceeded onto Phase 2 of the study in
which we tracked the evolution of the three collections over
time. The average participation was 286 days. All eight were
active collectors of files, email and bookmarks, with crosstool
profiles: CT1 (3 participants), CT2 (2 participants), CT3
(3 participants). During Phase 2 we also invited participants
to try out our WorkspaceMirror prototype (WM) [7]. Four
found WM useful, using it for an average of 107 days, to
mirror an average of 13 newly created folders. The other four
experimented with WM but did not use it in the long-term.
Table 7 summarizes collection growth over Phase 2. File
collections increased in size (in terms of both items and
folders) for all eight participants, including one who archived
some older material out of his file collection due to lack of
space. In contrast, the other seven archived material (such as websites) into their file collections – contributing towards the
high growth rate. Due to technical difficulties we were only
able to collect email data for six participants - for whom we
observed smaller folder growth compared to files. This was
accompanied by a very large turnover in messages. The
overall change in the number of messages was negative for
two participants who archived an average of 3600 messages
out of their collections, and positive for the remaining four
who did not archive in this way. Note that only the nonarchivers
are included in the email data in Table 7. Seven
participants collected bookmarks very slowly (average
growth: 5 folders, 25 items). One exception collected them
extensively (growth: 41 folders, 306 items), but even for her,
growth was much smaller than in files or email.
我走的很慢,但是我从不倒退!
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