DCICT4AW 2015 Abstracts

Short Papers
Paper Nr: 2

Cognitive Assessment through “Casual Video Games” and Machine Learning - Doctoral Consortium Contributions


Sonia M. Valladares Rodríguez, Roberto Pérez Rodríguez, Luis E. Anido Rifón and Manuel J. Fernández Iglesias

Abstract: Cognitive evaluation aims to the examination of cognitive functions like memory, attention, orientation, language, or executive functions (e.g., activity planning and sequencing), in order to discard anomalies in cognitive capabilities. Cognitive impairments are typically associated to senior citizens, who they could be seriously compromised due to dementia and other related processes. Another population group where cognitive evaluations are typically performed are students, because they can suffer from dyslexia, attention deficit disorder or hyperactivity. Thus, to detect these problems, it is necessary to pass a cognitive assessment. Currently, they take place in a controlled & medical environment and they are mainly based on: neuro-psychological tests (e.g. MMSE, King’s figure, Trail Making Test, etc.). Nevertheless, these classic tools suffer several limitations, such as: they require personalized attention of health professionals; their application is usually performed retrospectively when cognitive problems are clearly; they are very dependent of confounding factors (e.g. age, gender, educational level, behavioural, etc.). Thus, there is a need to develop new cognitive evaluation tools, more natural, transparent, continuous and entertained. Among the new trends to overcome the limitations recently mentioned, some researchers have raised the possibility of using casual video games. Thus, we have proposed the following research challenge: to create a device to estimate the cognitive status of a person, from their interaction with casual games, using machine learning techniques. Then, we are going to try to offer an answer and to contribute new knowledge in this matter, especially in the machine learning field. To conclude, the expected outcome of this research will be relevant under a scientific, social and economic perspective.

Paper Nr: 3

Assistive Home Platforms - From Guidelines to Technology Selection and Reasoning Applications


Laura Montanini

Abstract: In this paper an integrated platform for telecare and Ambient Assisted Living aimed at prolonging independent living of elderly people at home has been presented. Such a platform covers several aspects of the home living, such as independent living, home security, health monitoring and environmental control. Above this substrate, reasoning algorithms for behaviour recognition and human-system interface have been implemented. Experimental results demonstrate the effectiveness of the proposed solutions.

Paper Nr: 4

Aging with Multiple Sclerosis - Inclusive Universal Design (UD) Guidelines for Mobile User Interfaces


Ljilja Ruzic Kascak and Jon A. Sanford

Abstract: The population of older adults with multiple sclerosis (MS) is growing because of the increasing life expectancy of people with MS and the rising number of older adults. The complex health status of older adults with multiple diseases and consequent disabilities has overlapping symptoms with MS. Mobile technologies have been recently developed to provide better solutions for older adults and people with disabilities. However, many older adults, specifically those with MS, have many usability problems with current mobile technologies. Current design guidelines focus on singular and static limitations, thus being less effective for users with multiple limitations and changing abilities. In addition, there is a lack of literature on needs and concerns of people aging with MS to inform the design of mobile technologies, the design of user interfaces, and corresponding guidelines for older adults with MS. As an integrated set of design guidelines, Universal Design (UD), Design for Aging (DfA), Universal Usability (UU) and mobile design guidelines provide comprehensive inclusive UD guidelines which accommodate variability and combinations of limitations that would help the design of mobile technologies for people aging with MS as well as to all users. This research contributes to the state-of-knowledge about design for people aging with MS and provides a inclusive set of UD guidelines for mobile user interfaces for users through the analysis of data from usability studies of three mobile applications to inform the design of the health recording mobile application for older adults with MS.