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Updated: Jun 14, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
User Experience of a (Semi-) Automated Cognitive Phone-Based Assessment Within a Memory Clinic Population
Daphne Ter Huurne1, Inez Ramakers1, Nina Possemis1
1Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Dr. Tanslaan 12, Maastricht University, 6200 MD Maastricht, the Netherlands.
Objective:
We examined the user experience in different modalities (face-to-face, semi-automated phone-based, and fully automated phone-based) of cognitive testing in people with subjective cognitive decline and mild cognitive impairment.
Method:
A total of 67 participants from the memory clinic of the Maastricht University Medical Center+ participated in the study. The study consisted of cognitive tests in different modalities, namely, face-to-face, semi-automated phone-based guided by a researcher, and fully automated phone-based without the involvement of a researcher. After each assessment, a user experience questionnaire was administered, including questions about, for example, satisfaction, simplicity, and missing personal contact, on a seven-point Likert scale. Non-parametric tests were used to compare user experiences across different modalities.
Results:
In all modalities, user experiences were rated above average. The face-to-face ratings were comparable to the ratings of the semi-automated phone-based assessment, except for the satisfaction and recommendation items, which were rated higher for the face-to-face assessment. The face-to-face assessment was preferred above the fully automated phone-based assessment on all items. In general, the semi- and fully automated phone-based assessments were comparable (simplicity, conceivability, quality of sound, visiting the hospital, and missing personal contact), while on all the other items, the semi-automated phone-based assessment was preferred.
Conclusions:
User experience was rated high within all modalities. Simplicity, conceivability, comfortability, and participation scores were comparable in the semi-automated phone-based and face-to-face assessment. Based on these findings and earlier research on validation of the semi-automated phone-based assessment, the semi-automated assessment could be useful for screening for clinical trials, and after more research, in clinical practice.
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