ARIAL Workshop will be held in conjunction with the International Joint Conference on Artificial Intelligence 2021 (IJCAI-21)
According to a United Nations’ report on World Population Aging (2020), currently, there are more than 700 million persons aged 65 years or older over in the world. This number is projected to more than double, reaching over 1.5 billion by 2050. Aging can come with various complexities and challenges, such as a decline in the physical, cognitive and mental health of a person. These changes affect a person’s everyday life, resulting in decreased social participation, lack of physical activity, and vulnerability to injury and disability, which can be exacerbated by the occurrence of various acute health events, such as strokes, or long-term illnesses.
The field of assistive technology amalgamates several multi-disciplinary areas including computer science, rehabilitation engineering, data mining, clinical studies, health care, and psychology. Assistive technology solutions (ATS) can be used to promote independent, active and healthy aging with a specific focus on older adults, and those living with mild cognitive impairments.
The COVID-19 pandemic has highlighted the challenges encountered by vulnerable populations in terms of not getting adequate care, difficulties in access to healthcare services and lack of necessary support to stay independent and safe. Many clinical treatments and rehabilitation services have gone virtual due to strict social distancing guidelines that have added more complexity to supporting the older population.
Collecting and mining health data using assistive technology devices is a challenging task. Leveraging Artificial Intelligence (AI) techniques and building novel machine learning (ML) models is essential to make advancements in the field of aging and technology. Building AI models on health data will facilitate independent assisted living, promote a healthy and active lifestyle, and manage rehabilitation routines effectively. To reason about the collected data, to classify it and to detect abnormalities, new AI tools and methods are required.
With this workshop, we will bring together interdisciplinary researchers from different sub-fields of AI, in general, machine learning and deep learning to identify and approach the ARIAL-related problems. We will also facilitate discussion, interaction, and comparison of approaches, methods, and ideas related to the domain of aging and technology.
Previous ARIAL Workshops