Conference Information
ICAA' 2017: International Conference on Ageless Aging
http://icaa2017.crowdscience.org/
Submission Date:
2017-05-15
Notification Date:
2017-05-31
Conference Date:
2017-07-06
Location:
Beijing, China
Years:
5
Viewed: 8575   Tracked: 0   Attend: 0

Call For Papers
The rapid aging of population worldwide has brought unprecedented social economic challenges to the society. Apart from physical, cognitive and emotional difficulties faced by senior citizens, two new types of challenges – social challenges and sustainable economic development challenges – are becoming more pronounced. Research and technology that will enable the elderly to lead an active, independent and dignified lifestyle are urgently needed.

The 5th International Conference on Ageless Aging (ICAA’17) will act as a forum to discuss advances in the state-of-the-art in research and practice to help the elderly enjoy an active and independent lifestyle. Authors from both academia and industry are invited to share their experience, vision, ideas and research about ageless aging. Both theoretical and practical contributions are welcome.

ICAA’17 welcomes submissions reporting research that advances ageless aging, broadly conceived. The conference scope includes multi-disciplinary areas, including (but not limited to) topics such as AI and data analytics, cognition and person-centric care, future nursing home, life-long learning, aging-in-place, serious games, productive aging, aging studies and test-bedding.

ICAA’17 will be jointly organized with two other conferences: the 2017 International Conference on Agents (ICA’17) and the 2017 International Conference on Crowd Science and Engineering (ICCSE’17). The topics of interest include but are not limited to the following:
 
Cognition and Person-Centric Care
• Cognitive Functioning
• Models of Care
• Preventive Intervention
• Rehabilitation
• Cognitive Decline Prevention
• Dementia
• Parkinson
• Stroke	AI and Data Analytics
• Virtual Companions
• Agent Emotion Modeling
• Human-agent Interaction Design
• Persuasion Technology
• Elderly User Behavior Analysis and Modeling
• Human Factors
• Agent-based Personalized Rehabilitation
• Intention Based Recommendation
• Context Aware Optimization
• Personalized Service Discovery and Matching

Life-long Learning
• Measuring learning success
• Motivational and affective aspects
• Learning analytics
• Educational datamining
• Human computer interaction
• Adaptation and personalization	Future Nursing Home
• Assistive technologies to reduce manpower
• Data analytics for nursing home studies
• Provision of companion and support to the residents
• Innovations to improve the well-being of the staff
• Sustainable and affordable care models
• Designs to improve the living environment
• Other factors involved in future-ready nursing homes

Aging-in-Place
• Unobtrusive sensing
• Data-driven storytelling
• Cognitive analytics
• Fall detection and prevention
• Location tracking
• Social signal processing
• Auto indoor navigation
• Explained computing
• Internet-of-things	Serious Games
• Motor and cognitive function analysis
• Predictive analytics
• Game data analytics
• Cognitive training and exercise
• Personalized rehabilitation
• Gerontology disease prevention
Productive Aging
• Intergenerational communication
• Incentive mechanisms
• Recommendation systems
• Crowdsourcing
• Behavior analytics
• Productivity	Aging Study and Test-bedding
• Crowdsourcing
• Human computer interaction
• Phenomenography
• Participatory design and co-design approaches
• Culture awareness
• Innovative technologies for test-bedding
• Sustainability

Industry Application
The emphasis of this track is on technical advances that address aging relevant problems and applications that stretch or present challenges to existing aging technologies.
The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track will serve as an incubator for innovative approaches, provocative ideas, and to propose challenges and opportunities for the field in the near future.
Last updated by Dou Sun in 2017-05-06
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