Yamamoto, Hideya (Nara Institute of Science and Technology) | Ito, Kaoru (Nara Institute of Science and Technology) | Honda, Chihiro (Nara Institute of Science and Technology) | Aramaki, Eiji (Nara Institute of Science and Technology)
In recent years, various mobile communication devices such as smartphones are becoming increasingly popular. Because of the convenience brought by such devices, they are apparently becoming indispensable. However, several studies have indicated that these devices have detrimental effects on our cognitive abilities; some studies have described this phenomenon as digital dementia (DD). Media multitasking and the heavy use of mobile devices are suggested as some factors causing DD. Nevertheless, evidence linking the overuse of mobile devices and DD remains scarce.This study was conducted to elucidate the existence and possible causes of DD using crowdsourcing, which facilitates recruitment of numerous study participants. We investigate the usage of information devices and cognitive ability.Via crowdsourcing, one thousand study participants were recruited. Results suggest that the age when one begins using mobile devices as well as the heavy usage of those are potential factors leading to cognitive decline. We want to sound the alarm on the use of mobile terminals, which might cause severe disorder.
An anticipated increase in the number of people withdementia will lead to an escalation in health and socialcare spending unless it is altered by a major breakthroughin treatment or prevention. Behavioral symptomsassociated with dementia (BSD) are some of themost difficult problems faced by caregivers. Severalmeasurement issues have hampered the progress oftimely intervention for BSD. Sensor technology mayoffer a solution to the early detection of BSD that willguide the development of tailored interventions. Similarly,a clinical conceptualization of BSD and its measurementissues can facilitate the engineering of sensornetworks and algorithms for activity recognition. Multidisciplinarycollaboration and the consideration of ethicalissues will improve the adoption of these technologiesin healthcare research.
Sugihara, Taro (Japan Advanced Institute of Science and Technology) | Fujinami, Tsutomu (Japan Advanced Institute of Science and Technology) | Jones, Rachel (Instrata Limited) | Kadowaki, Kozo (Meiji University) | Ando, Masaya (Chiba Institute of Technology)
Care homes for persons with dementia are being designed so that caregivers can easily observe and therefore respond to the needs of people with dementia. However, the layout of care homes can then become overly restrictive for its residents, for example, by not supporting intermediate spaces where people can come across one another and start a conversation. We report a case study where a video monitoring system was deployed into a purpose-built care home to help caregivers to observe activities in the blind spots pertaining to the layout. We had carried out a study prior to and subsequent to the deployment of video monitoring in order to understand its impact. We found that both the caregivers and the residents benefitted from video monitoring, provided it is deployed sensitively. Furthermore, the deployment of video monitoring enables the design of more beneficial physical layouts. The deployment of video monitoring goes along with the physical layout of care homes.
Scientists in Toronto are developing an artificial intelligence system that would help people with Alzheimer's disease or other cognitive impairments live safely at home. The Toronto Rehabilitation Institute is working with University of Toronto researchers to make home-based computer systems that would assist elderly people with memory loss in living independently. More than 750,000 Canadians will have Alzheimer's or a related dementia by 2031, according to the researchers. "Often when a person gets moderate to severe levels of impairment, they are taken out of their home and put into a care facility," lead scientist Alex Mihailidis said in a written statement. "We are using artificial intelligence to support aging-in-place so that people can remain in their homes for as long as possible."