Different notions of argument historically have played a central role
in artificial intelligence, e.g., proof trees, sets of assumptions, and
explanations of probabilistic inference. These notions have been used to
model the diagnostic reasoning and decision-making of medical experts. However,
it was beyond the scope of that research to address information needs of
the layperson. It was assumed that a medical expert, trained to interpret
explanations produced by the system, would mediate between system and layperson.
The goal of this symposium is to investigate the role of argumentation in
future intelligent healthcare systems, focusing on systems designed to interact
directly with healthcare consumers, or with healthcare workers and caregivers
with little training. Topics include AI-based approaches to:
• Persuasive argumentation to change health-related
• Patient-tailored explanation,
• Lay-oriented explanation of conflicting views in the
• Argumentation addressing the needs of low-literacy
or low-numeracy audiences,
• Synthetic agents working in cooperation with the healthcare
• Negotiation with patients about treatment regimens,
• Providing information to laypersons for informed consent,
• Healthcare training.
Participation is invited from AI researchers in diagnostic reasoning and
medical applications; computational models of argumentation; user modeling,
trust, and affective computing; intelligent tutoring systems and games on
health-related topics; natural language generation and multimodal dialogue
systems. In addition, participation is invited from researchers in fields
providing empirical or theoretical foundations including medicine, risk
communication, health literacy, behavioral medicine and public health, discourse
of medicine, argumentation, and medical ethics.
Papers or extended abstracts on current research as well as position papers
are welcome. E-mail 2–6 page submissions in PDF format to the co-chairs
(bickmore at ccs.neu.edu, nlgreen at uncg.edu) no later than October
- Timothy Bickmore (co-chair), College of Computer and Information
Science, Northeastern University
- Nancy Green (co-chair), Dept. of Mathematical Sciences, University
of North Carolina at Greensboro
- Ellen Barton, Wayne State University
- Noel Brewer, University of North Carolina, School of Public Health
- Martin Beveridge, Cancer Research UK
- Giuseppe Carenini, University of British Columbia
- Allison Cawsey, University of Glasgow
- Subrata Das, Charles River Analytics
- Fiorella de Rosis, University of Bari
- Chrysanne di Marco, University of Waterloo
- Reva Freedman, Northern Illinois University
- Florianna Grasso, University of Liverpool
- Curry Guinn, University of North Carolina at Wilmington
- Stephen Intille, Massachusetts Institute of Technology
- Suzanne O'Neill, University of North Carolina, School of Public
- Chris Reed, University of Dundee
- Ehud Reiter, University of Aberdeen
- Wayne Velicer, University of Rhode Island, Cancer Prevention Research
- Mary McGee Wood, University of Manchester
See AAAI 2006 Spring
Symposium Series web site.
Accepted Papers (see printable schedule in PDF format)
- Aberg, J. Dealing with malnutrition: a meal planning system for the
- Andrews, P., De Boni, M., and Manandhar, S. Persuasive argumentation
in human computer dialogue.
- Bickmore, T.W. and Sidner, C.L. Towards plan-based health behavior
change counseling systems.
- Bromme, R., Jucks, R., and Schulte-Löbbert, P. Experts' adaptation
to healthcare consumers' language and understanding: a psycholinguistic
approach on online health-advice.
- Day, R.S. Comprehension of prescription drug information: overview
of a research program
- De Boni, M., Hurling, R., and Dryden, W. Argumentation through an
automated rational-emotive behavior therapy system for change in exercise
- DiMarco, C., Cowan, D., Bray, P., Covvey, D., DiCiccio, V., Hovy,
E., Lipa, J., and Mulholland, D. A physician's authoring tool for generation
of personalized health education in reconstructive surgery.
- Dolins, S.B. and Kero, R.E. The role of AI in building a culture
of partnership between patients and providers.
- Fox, J., Black, L., Glasspool, D., Modgil, S., Oettinger, A., Patkar,
V., and Williams, M. Towards a general model for argumentation services.
- Glasspool, D.W., Fox, J., Oettinger, A., and Smith-Spark, J. Argumentation
in decision support for medical care planning for patients and clinicians.
- Green, N. Representing normative arguments in genetic counseling.
- Hubal, R. and Day, R.S. Understanding the frequency and severity
of side effects: Linguistic, numeric, and visual representations.
- Mazzotta, I. and de Rosis, F. Artifices for persuading to improve
- Schulz, P.J. and Rubinelli, S. Healthy arguments for literacy in
- Shankar, R.D., Tu, S.W., and Musen, M.A. Medical arguments in an
automated health care system.
- Tolchinsky, P., Modgil, S., and Cortes, U. Argument schemes and critical
questions for heterogeneous agents to argue over the viability of a human
organ for transplantation.