Smart Information Flow Technologies (SIFT) is a research and development consulting company specializing in Human Factors and Artificial Intelligence. SIFT's goal is to make the information flow between humans and technology better for both sides -- more efficient, productive, pleasant, and safer. In order to achieve this goal SIFT employs top engineers in the fields of Computer Science and Psychology who specialize in Human Computer Interaction, Interface Design, Human Performance, Artificial Intelligence, Network and Cybersecurity, and Politeness and Etiquette models.
Since our inception in 1999, SIFT personnel have extended the state of the art in a wide range of domains from commercial and military flight decks to DoD small unit operations and have authored well over a hundred papers documenting our many contributions to the state of the art in multiple fields.
SIFT Researcher, Dr. David McDonald is one of the organizers of the 8th International Natural Language Generation Conference, being held June 19th to 21st 2014 in Philadelphia. This continues a series of international meetings in language generation going back to 1983, and this years will have participants from 12 different countries.
Dr. Christopher Miller and Ms. Peggy Wu recently attended NASA’s annual Human Research Program Investigator’s Workshop in Houston. Generally, any NASA-sponsored human research program is required to present a briefing at this workshop, but it is unusual to present more than once per project. Nevertheless, SIFT’s AD ASTRA program was invited to present two lectures.
SIFT is now a member of the NASA Human Health and Performance Center (NHHPC)! We are proud to be a part of this community and support NHHPC's goals to share information on best practices relating to advancing human health and performance innovations. Click here for more information on NHHPC.
Elsevier has recently published Plan, Activity, and Intent Recognition, a collection of articles edited by Staff Scientist Robert P. Goldman, together with Gita Sukthankar (University of Central Florida), Chris Geib (Drexel University), Hung Bui (Nuance), and David Pynadath (Institute for Creative Technologies, University of Southern California). The volume, a collection of fourteen contributed articles by experts in the field, covers "Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning."
The book is available for order from Amazon and Powell's Books. See the attached flyer from the publisher for more information, and a discount on orders direct from the publisher.