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Krzysztof Gajos <[log in to unmask]>
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Krzysztof Gajos <[log in to unmask]>
Fri, 31 Jul 2015 11:16:51 -0400
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	An upcoming  AAAI Spring Symposium on "Intelligent systems for supporting distributed human teamwork", organized by researchers in HCI, social sciences and AI, aims to bring together researchers from these communities who investigate the fundamental principles of  teamwork and increasing the capabilities of technology to support it. While a number of prior events have brought together interdisciplinary communities interested in teamwork, there remains a bridge missing between the HCI and social science communities who study and design for human teams and the AI researchers who study computational models of teamwork.  How might we combine HCI and social science expertise in supporting human teams with AI-rooted insights on the design of complex and highly distributed artificial teams to develop novel and highly effective tools for supporting increasingly more complex teamwork in such areas as healthcare, education and disaster relief?

	Participants will engage in cross-disciplinary working group sessions to identify challenges in specific application domains, gaps between existing approaches and desired solutions, potential approaches within and across fields. The symposium is aimed to be a starting point for fostering more discussion between the communities (e.g., producing resources about teamwork research in the different fields, writing a joint vision paper). Please consider joining us!

	See more details in call for participation below:

CFP: Intelligent systems for supporting distributed human teamwork

Distributed teamwork has become more common as technology enables groups of people  distributed over vast distances, with fewer opportunities for synchronous interaction to work together on complex tasks extended in time. This symposium will convene AI, HCI and social science researchers to identify challenges to developing intelligent systems for supporting human teamwork and multi-disciplinary approaches to overcoming them. Participants will consider ways to combine insights from AI research on complex, highly distributed artificial teams with results of HCI and social science investigations of human teams to enable the development of effective tools for supporting such teamwork in areas like healthcare, education and disaster relief.

Cross-disciplinary expertise  is essential for pushing forward the boundaries of systems for supporting distributed human teamwork. For example, systems might benefit from intelligent algorithms that reduce coordination overhead, but assumptions AI methods make for computer-agent environments often poorly match people’s capabilities. Integrating key ideas from social science and HCI research into the design of AI methods will enable the development of systems that address people’s core needs, adequately consider cultural and organizational factors, and make reasonable assumptions.

Planned activities:
Overviews of teamwork research, to provide an understanding of the diverse problems studied in each of social sciences, HCI, and AI; methods and theories; and main challenges to existing theories and methods. 
Interdisciplinary working groups, to identify challenges in specific application domains, gaps between existing approaches and desired solutions, potential approaches within and across fields.
Short talks and poster presentations, from  accepted papers.
Looking forward: synthesize discussions and plan next activities (e.g., a website with cross-disciplinary resources, a vision paper). 

Submissions to participate include a position paper and link to related published paper. Topics of interest include, but are not limited to the following:
Novel teamwork problems, challenges and opportunities for cross-disciplinary approaches.
Teamwork theories.
Case-studies of (successful or failed) complex teamwork (with or without technology support).
Representations, algorithms or interaction methods for teamwork support.
Systems (design, implementation or deployment efforts) for supporting teamwork.
Empirical testbeds.

For more information and submission instructions, visit the supplemental symposium website: <>. 

Contact: Ofra Amir ([log in to unmask] <mailto:[log in to unmask]>).

Organizing Committee: Ofra Amir (Harvard University), Krzysztof Gajos (Harvard University), Ya’akov (Kobi) Gal (Ben-Gurion University), Barbara Grosz (Harvard University), Jonathan Grudin (Microsoft Research), Robert Kraut (Carnegie Mellon University), Gary Olson (University of California, Irvine), Peter Stone (University of Texas, Austin).

Krzysztof Gajos, Associate Professor of Computer Science
Harvard John A. Paulson School of Engineering and Applied Sciences
Maxwell Dworkin Laboratory, Rm 251
33 Oxford St., Cambridge, MA 02138, USA
tel: +1-617-496-1876            

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