ARIAL@IJCAI18 will be held in Stockholm, Sweden. In this workshop, we invite previously unpublished and novel submissions in the following areas, but not limited to:
- Methods and protocols for data collection with older adult populations .
- Techniques for continuous streaming and monitoring of health and activity data for older adults.
- Methodologies for big data and large-scale data mining.
- Data analytics and visualization techniques for healthcare data.
- Machine learning techniques to identify abnormal behaviours and coping with rare events in health care.
- Older adults-centered analysis of online behaviour, e.g. Social Media Analytics (interpreting comments, posts, ...) and understanding (e.g. depression).
- Data mining challenges such as handling missing information, dealing with mixed, imbalanced and noisy data.
- Ontology design to capture age related impairments and possible counter-actions.
- Machine Learning approaches for the analysis of ARIAL-related data coming from sensors, cameras, ambient devices or novel sensing devices (radars, thermal camera, etc).
- Multi-agent models to capture interaction between patients, care-givers and relatives to provide assistance.
- Machine Learning methods for measuring health indicators, progression of physical and cognitive health, e.g. frailty, dementia, gait stability or other decline over time.
- Probabilistic and Case-based reasoning to provide assistance.
- Using Deep Learning solutions for supporting assistive technology devices.
- Predictive models for Fall detection, Agitation detection in people living with dementia.
- Methods to detect harmful and life-threatening events in older adults such as strokes, seizures, wandering.
- Developing smart agents to understand sentiments of the client for providing focussed care.
- Developing smart-home solutions for connecting and engaging older adults with the environment.
- Models that use Speech recognition and dialogue based interaction with older adults.