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Modern enterprises are replete with numerous online processes. Many must be performed frequently and are tedious, while others are done less frequently yet are complex or hard to remember. We present interviews with knowledge workers that reveal a need for mechanisms to automate the execution of and to share knowledge about these processes. In response, we(More)
A gap exists between the growing prevalence of peripheral displays and appropriate methods for their evaluation. Mankoff et al. [11] present one attempt to bridge this gap by adapting Nielsen's Heuristic evaluation to the defining characteristics and goals of peripheral displays. In this paper, we present a complementary approach that depends on active user(More)
Although in-car GPS navigation technology is proliferating, it is not well understood how its use alters the ways people interpret their environment and navigate through it. We argue that GPS-based car navigation might disengage people from their surrounding environment, but also has the potential to open up novel ways to engage with it. We present an(More)
This paper examines the relationship between experiences of busyness in everyday life and the use of productivity tools, including planners, calendars and to-do lists. Field study findings demonstrate that American individuals across a demographic range have internalized a cultural emphasis of busyness as a moral value to construct positive identities as(More)
For many first-year college students in their late teen years, communicating with parents provides crucial social support. When going to college involves moving away from home for the first time, students and their parents must rely on technologies to keep communication channels open. We studied the ways in which college freshmen communicate with their(More)
One of the goals of affective computing is to recognize human emotions. We present a system that learns to recognize emotions based on textual resources and test it on a large number of blog entries tagged with moods by their authors. We show how a machine-learning approach can be used to gain insight into the way writers convey and interpret their own(More)
Effective communication in project teams is important, but not often taught. We explore how feedback might improve teamwork in a controlled experiment where groups interact through chat rooms. Collaborators who receive high feedback ratings use different language than poor collaborators (e.g. more words, fewer assents, and less affect-laden language).(More)
While most collaboration technologies are concerned with supporting particular tasks such as workflows or meetings, many work groups do not have the teamwork skills essential to effective collaboration. One way to improve teamwork is to provide dynamic feedback generated by automated analyses of behavior, such as language use. Such feedback can lead members(More)
When crime analysts collaborate to solve crime cases, they need to share insights in order to connect the clues, identify a pattern, and attribute the crime to the right culprit. We designed a collaborative analysis tool to explore the value of implicitly sharing insights and notes, without requiring analysts to explicitly push information or request it(More)