Personal

Personalised technology for self-management of chronic disease and ageing

 

Mobile devices connecting your customers to your services, backed by the science of how humans interact with technology.

 

Motivation:

There are several moments in life which force us to learn new ways of doing things or adapt to new circumstances, such as taking care of a loved one, discovering we have a chronic disease, keeping up with medical doctors’ indications, including medical restrictions at work. Technology is everywhere and can assist us through these transformations, but more often than not it looks to us like those who designed the technology do not understand what it is really like to live with the same challenges we do.

 

Solution:

If you are proving a service or a technology for these phases in work and in life, AICOS can support you because we understand your customer, your employees or your subjects in research. AICOS’ mobile technology is highly usable, designed together with a wide array of users to guarantee meaningfulness and a tailored design to self-reported needs and aspirations. It consists of modules which can be combined and adapted depending on the needs of the target group.

The modules cover communication, activity monitoring, customisable surveys, integration with health monitoring devices, modules for movement analysis, nutrition or medication, as well as analytics and connections between different user roles (e.g. providing care, receiving care). The features can be combined to create and capture value through connection to your services.

 

Benefit:

The technology has been adapted for over 15 different uses, one of which currently commercialised across Europe. Over 900 sessions of consumer research have been conducted to validate requirements, codesign the system and test its performance, resulting in fully tested design patterns and applications with high user acceptance and a quick time to market.

Highlighted Projects

 

Clockwork

A solution that aims to create a healthy work environment by supporting shift
workers who are affected by
chronodisruption in the improvement of their circadian rhythms.

 

MASPARK

Freezing impacts the quality of life of
Parkinson Disease patients, and we are studying it using a wearable inertial sensor for real-time detection of abnormal gait.

 

SmartBEAT

An integrated solution to leverage patient self-care through autonomous condition monitoring and real-time feedback, that
addresses the needs of senior Heart Failure patients and their formal and informal
caregivers.

 

Smart Companion

The Smart Companion is an award winning set of applications for smartphones that were specially designed to meet older adults‘ needs.

 

CogniPlay

CogniPlay is a tablet-based gaming platform that provides cognitive stimulation through games targeting several different areas of the cognitive domain, with its primary audience being the senior population.

Further information

 

Downloads

 

Personal Brochure

 

Relevant Services

 

Rapid Prototyping

Innovation Studies

Education & Training

 

Relevant Publications

 

Peixoto R., Ribeiro J., Pereira E., Nunes F., & Pereira A. (2018). Designing the Smart Badge: A Wearable Device for Hospital Workers. In PervasiveHealth 2018 - 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. More info

Vasconcelos A., Correia C., Nunes F., & Carvalho A. (2018). Mobile, exercise-agnostic, sensor-based serious games for physical rehabilitations at home. In TEI 2018 - Proceedings of the 12th International Conference on Tangible, Embedded, and Embodied Interaction, 271-278. More info

Nunes F., Silva P.A., Cevada J., Barros A., & Teixeira L. (2016). User interface design guidelines for smartphone applications for people with Parkinson's disease. Universal Access in the Information Society, 15(4), 659-679. More info

Barros A., Leitão R., & Ribeiro J. (2014). Design and evaluation of a mobile user interface for older adults: navigation, interaction and visual design recommendations. In Procedia Computer Science, 27, 369-378. More info