| Sumario: | Issue Bayesian-based detection of mild cognitive impairment and mild Alzheimer's disease; An agent system for reminiscence therapy; Application of cognitive training to healthy older adults, older adults who need care, and older adults with dementia; Decision-making for installing tube feeding to an elderly person. Content Applying gerontechnology to the real world leads us to consider various issues involved in caregiving, family, and community. What becomes evident in applications depends on contexts and may be determined by factors such as the nature of technology employed, the condition of the cognitively impaired person, the roles played by people supporting him or her, the relationships between them, and the social insurance system, among many other things. A dependency on context makes it rather difficult to identify the functions of assistive technologies and their influences in the real world because the same technology may bring about different effects depending on the context. We believe that designing assistive intelligence via artificial intelligence is one of the solutions to the problem. Artificial intelligence is an engineering approach to human intelligence and may help or complement human caregiving, training, rehabilitation, and diagnosis by augmenting the cognitive capability of the person with dementia, as well as the person's caregivers, and medical professionals. It may enhance the quality of care. It may increase the intensity or total application period of training and rehabilitation. It may support an early diagnosis of cognitive decline. Ideal compensation or coevolution of human intelligence and artificial intelligence is expected. We invite researchers and practitioners who have some experiences in applying their work to real world situations to share and discuss their views and insights. Structure There will be four paper presentations, followed by a question-and-answer session and a general discussion. The titles of the papers are as follows: (i) Bayesian-based detection of mild cognitive impairment and mild Alzheimer's disease: discrimination performance using cerebral blood flow activation during daily conversation; (ii) An anime agent system for reminiscence therapy; (iii) An involvement of caregiver in decision-making for installing tube feeding to an elderly person; (iv) Application of co-imagination method to healthy older adults, older adults who need care, and older adults with dementia. Conclusion The process of accepting technology cannot be a simple agreement in which researchers propose something and users accept it. It can be a long-term process for establishing mutual understanding of the technology by which attitudes to technology undergo a transformation both in researchers and users. How it can happen varies in contexts.
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