This paper describes a new collaboration technology that is carefully poised between informal, ad hoc, easy-to-initiate collaborative tools, vs. more formal, structured, and highoverhead collaborative applications. Our approach focuses on the support of lightweight, informally structured, opportunistic activities featuring heterogeneous threads of shared objects with dynamic membership. We introduce our design concepts, and we provide a detailed first look at data from the first 100 days of usage by 20 researchers and 13 interns, who both confirmed our hypotheses and surprised us by reinventing the technology in several ways.

Employee directories play a valuable role in helping people find others to collaborate with, solve a problem, or provide needed expertise. Serving this role successfully requires accurate and up-to-date user profiles, yet few users take the time to maintain them. In this paper, we present a system that enables users to tag other users with key words that are displayed on their profiles. We discuss how people-tagging is a form of social bookmarking that enables people to organize their contacts into groups, annotate them with terms supporting future recall, and search for people by topic area. In addition, we show that people-tagging has a valuable side benefit: it enables the community to collectively maintain each others' interest and expertise profiles. Our user studies suggest that people tag other people as a form of contact management and that the tags they have been given are accurate descriptions of their interests and expertise. Moreover, none of the people interviewed reported offensive or inappropriate tags. Based on our results, we believe that people tagging will become an important tool for relationship management in an organization.

Continuous visual feedback is becoming a common feature in direct-manipulation programming systems of all klndsfrom demonstrational macro builders to spreadsheet packages to visual programming languages featuring direct manipulation. But does continuous visual feedback actually help in the domain of programming?There has been little investigation of this question, and what evidence there is from related domains points in conflicting directions. To advance what is known about this issue, we conducted an empirical study to determine whether the inclusion of continuous visual feedback into a direct-manipulation programming system helps with one particular task: debugging.Our results were that although continuous visual feedback did not significantly help with debugging in general, it did significantly help with debugging in some circumstances.Our results also indicate three factors that may help determine those circumstances.

Activity Explorer is the first product from IBM that supports the notion of activity-centric collaboration. This new collaboration paradigm organizes and integrates resources, tools, and people around the computational concept of a work activity, with the goal of increasing work quality and efficiency. In essence, activity-centric collaboration is an important and compelling example of contextual collaboration. Activity Explorer emerged from a multiyear research effort on activity-centric collaboration. This paper presents an overview of the most significant milestones of this research program and highlights the most interesting findings. The research behind Activity Explorer is based on many empirical studies, design explorations, and infrastructural engineering and technical simulations. We demonstrate how our research not only influenced product direction, but also the IBM vision for activity-centric collaboration. The idea for AE emerged from our research on new ''instant collaboration'' techniques in the context of our Reinventing E-mail project.

This paper describes a new collaboration technology that is based on the support of lightweight, informally structured, opportunistic activities featuring heterogeneous threads of shared items with dynamic membership. We introduce our design concepts, and we provide a detailed analysis of user behavior during a five month field study. We present the patterns of media use that we observed, using a variety of analytical methods including thread clustering and analysis. Major findings include four patterns of media use: communicating, exchanging mixed objects, coordinating, (e.g., of status reports), and semi-archival filing. We observed differential use of various media including highly variable use of chats and surprisingly informal uses of files. We discuss the implications for the design of mixed media collaborative tools to support the work activities of small to medium sized work teams.