DemSelf, a Mobile App for Self-Administered Touch-Based Cognitive Screening: Participatory Design With Stakeholders

by   Martin Burghart, et al.

Early detection of mild cognitive impairment and dementia is vital as many therapeutic interventions are particularly effective at an early stage. A self-administered touch-based cognitive screening instrument, called DemSelf, was developed by adapting an examiner-administered paper-based instrument, the Quick Mild Cognitive Impairment (Qmci) screen. We conducted five semi-structured expert interviews including a think-aloud phase to evaluate usability problems. The extent to which the characteristics of the original subtests change by the adaption, as well as the conditions and appropriate context for practical application, were also in question. The participants had expertise in the domain of usability and human-machine interaction and/or in the domain of dementia and neuropsychological assessment. Participants identified usability issues in all components of the DemSelf prototype. For example, confirmation of answers was not consistent across subtests. Answers were sometimes logged directly when a button is tapped and cannot be corrected. This can lead to frustration and bias in test results, especially for people with vision or motor impairments. The direct adoption of time limits from the original paper-based instrument or the simultaneous verbal and textual item presentation also caused usability problems. DemSelf is a different test than Qmci and needs to be re-validated. Visual recognition instead of a free verbal recall is one of the main differences. Reading skill level seems to be an important confounding variable. Participants would generally prefer if the test is conducted in a medical office rather than at a patient's home so that someone is present for support and the result can be discussed directly.



There are no comments yet.


page 1

page 2

page 3

page 4


Methodology and feasibility of neurofeedback to improve visual attention to letters in mild Alzheimer's disease

Brain computer interfaces systems are controlled by users through neurop...

A self-assessment Instrument for assessing test automation maturity

Test automation is important in software industry but self-assessment in...

Investigating usability of mobile health applications in Bangladesh

Background: Lack of usability can be a major barrier for the rapid adopt...

Alexa Depression and Anxiety Self-tests: A Preliminary Analysis of User Experience and Trust

Mental health resources available via websites and mobile apps provide s...

Design and Development of an Automated Coimagination Support System

Coimagination method is a novel approach to support interactive communic...

ACTA: A Mobile-Health Solution for Integrated Nudge-Neurofeedback Training for Senior Citizens

As the worldwide population gets increasingly aged, in-home telemedicine...

TalkTive: A Conversational Agent Using Backchannels to Engage Older Adults in Neurocognitive Disorders Screening

Conversational agents (CAs) have the great potential in mitigating the c...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.