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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. |
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