Hierarchy and Competition in CSCW applications: Model and case study

CSCW applications need to adapt themselves to the functional and organizational structures of people that use them. However they do not usually support division in groups with a certain hierarchical structure among them. In this paper, we propose and study a theoretical model of groupware appliations that reflects those hierarchical interactions. The proposed model is also intended to evaluate the effects in performance derived from competitive and collaborative relationships among the components of a hierarchy of groups. In order to demonstrate the above ideas, a groupware game, called Alymod, was designed and implemented using a modified version of a well-known CSCW Toolkit, namely Groupkit. Groupkit was modified in order to support group interactions in the same CSCW application. In Alymod, participants compete or collaborate within a hierarchical structure to achieve a common goal (completing gaps in a text, finishing numerical series, resolving University course examinations, etc.).Publicad

Supporting Computer-Mediated Collaboration through User Customized Agents

This research investigated a neglected problem - interruption of groups by agent advisory systems. The question was whether interruption by the agent advisory system was beneficial. A survey of literature in four areas is included in this dissertation. The areas surveyed were Agents, Online Help, Computer Supported Cooperative Work(CSCW) and Awareness in CSCW. Based on the review, a human subject experiment was conducted. The study investigated whether the style of agent advisory interface improved the performance of group members. There were three sets of groups, a control set that did not have advisory agents, a set that had system provided advisory agents and a set that had group customized advisory agents. The groups worked together using a CSCW application developed with GroupKit, a CSCW toolkit. The groups with group customized advisory agents used an Agent Manager application to define advisory agents that would give them advice as they worked in the CSCW application. The findings showed that the type of advisory agents did not significantly influence the performance of the groups. The groups with customized agents performed slightly better than the other groups but the difference was not statistically significant. When notified that advice was issued, groups with customized agents and groups with provided agents seldom accessed the agent's advice. General design guidelines for agent interruption have not been solved. Future work is needed to finish the job. The definitive solution may be some mixture of the three known individual design solutions