Collaborative Systems topics include, but are not limited to:
- Data, text, speech, and multimedia storage, organization retrieval, and mining. Extraction of structured information from unstructured sources. Information discovery, fusion, summarization, and visualization.
- Algorithms for personalizing, organizing, navigating, searching, interpreting, and presenting information of different types, using various modalities.
- Designing, managing, and governing information infrastructures.
- Knowledge environments for science and engineering.
- Physical and cognitive interaction between a person and a robotics system and robots to project and extend human capabilities into unknown and hazardous environments.
- Policy and technical issues, including security and privacy issues, that relate to sharing information across boundaries.l Innovation and learning in distributed systems.
- Multimedia and multi-modal interfaces in which combinations of speech, text, graphics, gesture, movement, touch, sound, etc. are used by people and machines to communicate with one another.
- Intelligent interfaces and user modeling. Information visualization. Adaptation of content to accommodate different display capabilities, modalities, bandwidth and latency.
- Information privacy research that explores policies and technologies that permit collaboration across organization boundaries, and the ability to draw conclusions from data while still maintaining the privacy of individuals, including definitions of privacy other than confidentiality-security, for example conceiving of privacy as the reciprocal of intimacy in online contexts.
- Problem solving in distributed environments, ranging across Internet-based information systems, grids, sensor-based information networks, and mobile and wearable information appliances.
- Models for effective mediated human-human interactions under a variety of constraints, (e.g., video conferences, collaboration across high and low bandwidth networks, etc.).
Especially3, 5, 9 and 10.
