sample of individuals who participated was made at
convenience. Due to the COVID-19 pandemic, access
to the elderly population with disabilities is restricted.
5.6.3 Reliability
The evidence chain was carried out respecting the
data's literality from the interviews to the analysis.
Moreover, the qualitative responses were quantified
using a Likert scale to avoid introducing
interpretation bias.
6 CONCLUSIONS AND FUTURE
WORK
The UIAAC method considers design aspects for
older adults based on protocols and standards for
designing graphical interfaces for AAC systems that
integrate pictograms. The design and creation of
prototypes are oriented in the analysis of domains,
end-user documents, and observations of the
specialist in gerontology; this allows for a correct
UCD.
This method is designed to be applied within
software engineering processes, specifically for
designing graphical interfaces of AAC systems. A
web system has been built to help improve older
adults' cognitive abilities; where the interface has
been designed with this method, it has been possible
to test the feasibility of the method. The AAC system
has used a psychologist for evaluation and an older
adult to use the app. The results show that the app is
perceived as easy to use and useful. Finally, as future
work, the UIAAC method will be studied in depth to
expand and detail each phase's activity, guide, and
function.
ACKNOWLEDGMENT
This work is part of the following research projects:
“Fog Computing applied to monitor devices used in
assisted living environments; case study: platform for
the elderly people”, “Design of architectures and
interaction models for assisted living environments
aimed at older adults. Case study: playful and social
environments” and “Integration of New Technologies
for the Design of Cognitive Solutions in Ambient
Assisted Living for Elderly People: Evaluation of
Attention and Memory Areas”. Therefore, we thank
DIUC of Universidad de Cuenca and CEDIA for its
support.
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