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***Program for the symposium has been posted

***List of accepted papers has been posted

The aging population, the increasing cost of formal health care, caregiver burden and the importance that older adults place on living independently in their own homes motivate the need for the development of patient–centric technologies that promote safe independent living. These patient-centric technologies need to address various aging related physical and cognitive health problems such as heart disease, diabetes, deterioration of physical function, falling, wandering, strokes, and memory problems, lack of medication adherence, cognitive decline and loneliness. Advances in the sensor and computing technology that allow for ambient unobtrusive and continuous home monitoring have opened new vistas for the development of such technologies.

AI is central to such systems as it deals with the process of transforming raw sensor data into human interpretable abstractions, innovating new human computer interfaces for the older adults, as well as planning and reasoning in such cases. Rapid strides made in the area of sensor networks and personal devices have made it possible to capture health related data in various forms. Personal devices and wearable sensors such as accelerometers allow us to capture an individual’s activities, while various physiological sensors allow us to record and monitor health related data continuously. AI can help in decision making and analyzing the sheer volume of captured data from a variety of sensing technologies for understanding the physical activities, nighttime behaviors, medication taking, socialization and ongoing physiological changes in the older adults. As the availability of longitudinal data increases, we have an unprecedented opportunity to discover new early predictors of clinically significant events. This is a challenging research area that has seen increasing interest among the research community due to the need of the hour.

The goal of this symposium is to understand the role of AI in current research through presentation of case studies and work in progress research and to brainstorm novel technologies that can be innovated and improved by AI research. The symposium will bring together researchers working on various artificial intelligence aspects of gerontechnology in order to highlight the current challenges, as well as to identify the future grand challenges.

This venue will showcase the latest results based on various AI techniques, such as planning & scheduling, statistical models, relational models, representation schemes and unsupervised techniques. The results will demonstrate how current AI methods can be extended into practical solutions in order to solve challenging real world problems in the area of gerontechnology. We hope that the results of this symposium not only can be beneficial for the AI researchers in the area of gerontechnology, but the resulting algorithms and solutions will also be adapted by researchers in various other AI application fields. 

contact: ckn@eecs.wsu.edu or parisa.rashidi@northwestern.edu