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

Sonia M. Valladares Rodríguez, Roberto Pérez Rodríguez, Luis E. Anido Rifón, 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.

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Paper Citation


in Harvard Style

M. Valladares Rodríguez S., Pérez Rodríguez R., E. Anido Rifón L. and J. Fernández Iglesias M. (2015). Cognitive Assessment through “Casual Video Games” and Machine Learning - Doctoral Consortium Contributions . In Doctoral Consortium - DCICT4AW, (ICT4AgeingWell 2015) ISBN , pages 3-11


in Bibtex Style

@conference{dcict4aw15,
author={Sonia M. Valladares Rodríguez and Roberto Pérez Rodríguez and Luis E. Anido Rifón and Manuel J. Fernández Iglesias},
title={Cognitive Assessment through “Casual Video Games” and Machine Learning - Doctoral Consortium Contributions},
booktitle={Doctoral Consortium - DCICT4AW, (ICT4AgeingWell 2015)},
year={2015},
pages={3-11},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}


in EndNote Style

TY - CONF
JO - Doctoral Consortium - DCICT4AW, (ICT4AgeingWell 2015)
TI - Cognitive Assessment through “Casual Video Games” and Machine Learning - Doctoral Consortium Contributions
SN -
AU - M. Valladares Rodríguez S.
AU - Pérez Rodríguez R.
AU - E. Anido Rifón L.
AU - J. Fernández Iglesias M.
PY - 2015
SP - 3
EP - 11
DO -