CIVIL: support geo-collaboration with information visualization

Authors:
Anna Wu;Xiaolong Zhang;Gregorio Convertino;John M. Carroll
Affiliations:
Pennsylvania State University, State College, PA, USA;Pennsylvania State University, State College, PA, USA;Pennsylvania State University, State College, PA, USA;Pennsylvania State University, State College, PA, USA
Venue:
Proceedings of the ACM 2009 international conference on Supporting group work
Year:
2009

Citing 6
Cited 4

An experimental study of common ground in text-based communication

CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use

International Journal of Human-Computer Interaction
Visualization for Situational Awareness

IEEE Computer Graphics and Applications
Supporting Community Emergency Management Planning through a Geocollaboration Software Architecture

Computer Supported Cooperative Work
The impact of increased awareness while face-to-face

Human-Computer Interaction
Supporting content and process common ground in computer-supported teamwork

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

A simple and portable command post to coordinate search and rescue activities in disaster relief efforts

CRIWG'10 Proceedings of the 16th international conference on Collaboration and technology
Geo-tagged mobile photo sharing in collaborative emergency management

Proceedings of the 2011 Visual Information Communication - International Symposium
Supporting common ground and awareness in emergency management planning: A design research project

ACM Transactions on Computer-Human Interaction (TOCHI)
Big Board: Teleconferencing Over Maps for Shared Situational Awareness

Computer Supported Cooperative Work

Quantified Score

Hi-index	0.00

Visualization

Abstract

Teams of specialized experts, such as emergency management planning teams, while making decisions need to efficiently pool domain-specific knowledge, synthesize relevant information, and keep track of collaborators activities at a low interaction cost. This requires tools that allow monitoring both low-level information (e.g., individual actions and external events) and higher-order activities (e.g., how members contribute to groupwork). This paper presents design of CIVIL, a system prototype developed to support map-based decision-making. We report our empirical evaluation of the effects of visualizations on the decision process and the final product.