Estimating cognitive overload in mobile applications for decision support within the medical domain
Samaras, George S.
SourceICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems
14th International Conference on Enterprise Information Systems, ICEIS 2012
Google Scholar check
MetadataShow full item record
Mobile applications have the potential to improve the quality of care received by patients from their primary care physicians (PCP). They can allow doctors to access the information they need when and where they need it in order to make informed decisions regarding patients' health. They can also allow patients to better control conditions such as Diabetes and Gaucher's disease. However, there are a number of limitations to these devices, such as small screen sizes and limited processing power, which can produce cognitive overload which in turn can negatively impact upon the decision making processes. This paper introduces a new research direction which aims to predict, during the development of mobile health care applications, when cognitive overload is likely to occur. By identifying the user's previous level of experience, their working memory, the complexity of the interface and the level of distraction imposed by the user's context, a prediction can be made as to when cognitive overload is likely to occur.
Showing items related by title, author, creator and subject.
Making decisions through preference-based argumentation Amgoud, L.; Dimopoulos, Yannis; Moraïtis, Pavlos (2008)Decision making is usually based on the comparative evaluation of different alternatives by means of a decision criterion. The whole decision process is compacted into a criterion formula on the basis of which alternatives ...
Exploitation of medical crisp database for fuzzy diagnostic decision support systems Papaioannou, Maria; Schizas, Christos N. (2015)There are several types of Diagnostic Decision Support Systems (DDSS) but all move towards a common direction: provide assistance to the doctors/clinicians to make the right diagnosis for a specific patient, minimizing as ...
Extending argumentation to make good decisions Dimopoulos, Yannis; Moraïtis, Pavlos; Amgoud, L. (2009)Argumentation has been acknowledged as a powerful mechanism for automated decision making. In this context several recent works have studied the problem of accommodating preference information in argumentation. The majority ...