Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6861052 | International Journal of Human-Computer Studies | 2016 | 71 Pages |
Abstract
Then, we conducted a survey with a broader population to assess to what extent our previous results would generalize to a broader population. We found that many of the survey respondents did not fit neatly into one of the previous categories; rather, they demonstrated tendencies of varying strength toward adopting, make-doing, and DIYing for their PTM. This was reflected in how they recorded and remembered their tasks, and if/how they maintained task lists. Based on this, we recommend that PTM tools have the capacity to accommodate the varying strengths of those tendencies: they should be personalizable so that people with DIY desire can personalize their tool when they need to and should be relatively effortless to use and integrate well with other systems in use to satisfy make-do tendencies.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Mona Haraty, Joanna McGrenere, Charlotte Tang,