Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Reminiscence Therapy for Dementia   With people living longer than ever, the number of cases with dementia such
as Alzheimer's disease increases steadily. It affects more than 46 million
people worldwide, and it is estimated that in 2050 more than 100 million will
be affected. While there are not effective treatments for these terminal
diseases, therapies such as reminiscence, that stimulate memories from the past
are recommended. Currently, reminiscence therapy takes place in care homes and
is guided by a therapist or a carer. In this work, we present an AI-based
solution to automatize the reminiscence therapy, which consists in a dialogue
system that uses photos as input to generate questions. We run a usability case
study with patients diagnosed of mild cognitive impairment that shows they
found the system very entertaining and challenging. Overall, this paper
presents how reminiscence therapy can be automatized by using machine learning,
and deployed to smartphones and laptops, making the therapy more accessible to
every person affected by dementia.

18
The categories of this paper are: econ
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
34
The categories of this paper are: chem-ph