We examine the possibility of distributed sensemaking: improving a user's sensemaking by leveraging previous users' work without those users directly collaborating or even knowing one another. We asked users to engage in sensemaking by organizing and annotating web search results into "knowledge maps," either with or without previous users' maps to work from. We also recorded gaze patterns as users examined others' knowledge maps. Our findings show the conditions under which distributed sensemaking can improve sensemaking quality; that a user's sensemaking process is readily apparent to a subsequent user via a knowledge map; and that the organization of content was more useful to subsequent users than the content itself, especially when those users had differing goals. We discuss the role distributed sensemaking can play in schema induction by helping users make a mental model of an information space and make recommendations for new tool and system development.

We conducted a study comparing avatar conferencing with video and audio conferencing for work scenarios. We studied nine four-person teams using a within-subjects design that measured users' perceptions and preferences across the conferencing conditions. Video was rated highest in all measures. Avatar and Audio were rated similarly, except for sociability, where Avatar was rated higher than Audio, and realism, where Avatar was rated lower than Audio. While users appreciated how avatar conferencing brought them together in a common virtual space, they found the cartoon avatars to be inappropriate for a professional discussion. As a result, participants preferred Video the most and Avatar the least for a business meeting. Lower ratings for the avatar condition were partly due to users' frustrations when the avatar system did not track them perfectly. When assuming a "perfect" system, preference for Avatar increased significantly while preference for Audio and Video remained unchanged.