problems remains challenging. One of the largest
challenges is to understand human subjective knowledge and design better health and well-being systems.
We define subjectivity-oriented computing as an approach to designing and understanding computational systems by understanding human subjective
knowledge. This symposium also discussed subjective
intelligence by learning from the human self-awareness process.
More specifically, we explored the methods or
methodologies for ( 1) representation of subjective
knowledge; ( 2) deep learning and other quantitative
methods for health and wellness; ( 3) models, reasoning, and inference; and ( 4) better well-being systems
Our symposium included eight invited talks that
provided new perspectives on well-being computing.
Alex Ranter (Stanford University) spoke on ameliorating the labeling bottleneck with weak supervision.
Avanti Shrikumar (Stanford University) discussed the
issues on interpretable deep learning for genomics.
Michael Nova (Pathway Genomics, Inc.) discussed
future perspectives on cognitive healthcare using AI.
Hirokazu Shirado (Yale University) introduced research topics on human coordination in experimental social networks. Kenji Suzuki (University of Tsuku-ba) discussed the concept of subjectivity-oriented
computing to understand and empower individuals.
Atsushi Nakazawa (University of Kyoto) introduced
his research on evaluation of care skills using eye-tracking technologies. Steve Cole (University of California, Los Angeles) spoke on social regulation of
human genome expression. Finally, Guido Pusiol
(Stanford University) introduced his research on systems that care for the elderly using motion detection
The technical presentations comprised 16 papers
and 3 posters or demonstrations. Presentation topics
included sensor-based well-being; interactive support
systems for elderly persons; interactive support systems for visual impairment; body motion for well-being; meditation detection for well-being; sleep
stage estimation for well-being; machine learning for
well-being; feeling analysis for well-being; and visualization for well-being.
Takashi Kido (Preferred Networks) discussed the
challenges for machine learning and subjective com-
puting in well-being AI. Nicola Bellotto (University of
Lincoln) introduced a system named ENRICHME as
an ambient intelligence integration for elderly care
robots. Tomoyuki Hiroyasu (Doshisha University)
introduced the brain functional state analysis of
mindfulness using graph theory and functional con-
nectivity. Tomohiro Harada (Ritsumeikan University)
proposed methods for improving the accuracy of real-
time sleep stage estimation. Keiki Takadama discussed
guidelines for applying machine learning to care sup-
port systems; and Camille Marie Ruiz (Nara Institute
of Science and Technology) introduced an analysis of
online activity and expressions on real-life relation-
ships of lonely users.
The Well-Being AI symposium provided participants unique opportunities where researchers with
completely different backgrounds were able to come
up with new ideas through innovative and constructive discussions. The symposium presented important
interdisciplinary challenges for guiding future advances in the AI community.
The Well-Being AI: From Machine Learning to Subjectivity-Oriented Computing symposium was organized by Takashi Kido and Keiki Takadama. This report
was written by Takashi Kido and Keiki Takadama. The
papers presented at the symposium were published as
AAAI Technical Report SS-17-08 in the AAAI Digital
Library and included in The 2017 AAAI Spring Symposium Series: Technical Reports SS-17-01 – SS-16-08
Jeannette Bohg is a senior research scientist at the Max
Planck Institute for Intelligent Systems.
Xavier Boix is a postdoctoral fellow at the Massachusetts
Institute of Technology.
Nancy Chang is a research scientist at Google.
Vivian Chu is a PhD candidate at the Institute of Robotics
and Intelligent Machines, Georgia Institute of Technology.
Elizabeth F. Churchill is a director of user experience at
Google, based in San Francisco and Mountain View, USA.
Fei Fang is a postdoctoral fellow in the Center for Research
on Computation and Society (CRCS) at Harvard University.
Jerome Feldman is professor emeritus of the University of
California at Berkeley.
Avelino J. González is a professor in the Department of
Computer Science at the University of Central Florida.
Takashi Kido is a research manager of Preferred Networks in
William F. Lawless is a professor of mathematics and psychology at Paine College in Augusta, Georgia.
José L. Montaña is an associate professor in the Department
of Mathematics, Statistics, and Computer Science at the University of Cantabria.
Santiago Ontañón is an assistant professor in the Department of Computer Science at Drexel University.
Jivko Sinapov is a postdoctoral associate at the Department
of Computer Science, University of Texas at Austin.
Don Sofge is a roboticist at the Naval Research Laboratory.
Luc Steels is an ICREA research professor at the Institut de
Biologia Evolutiva (UPF/CSIC) in Barcelona.
Molly Wright Steenson is an associate professor at Carnegie
Mellon University in the School of Design.
Keiki Takadama is a professor of the University of Electro-Communications in Japan.
Amulya Yadav is a PhD candidate in the Computer Science
Department at the University of Southern California.