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The main objective is to assess the usability of a novel tool of neurocognitive disorders detection, called the Digitracking, by the elderly population. The Digitracking technique is based on the eye tracking concept to assess cognitive decline (Lio et al. 2019). Instead of capturing eye movements, the new device captures the finger trajectory while exploring a blurred picture on a tablet. The usability of such a technology is assessed through objective and subjective metrics, such as the user experience.
Methods for cognitive decline diagnosis in elderly patients using simple, fun and ecological tests remain a major health issue. The objective is the early diagnosis of disorders in order to offer quick management of the decline of cognitive functions.
Eye tracking is a proven technique to study perceptual and cognitive functions in children and adults. It has recently been highlighted that it was also relevant to analyze the perceptual and cognitive functions of elderly people at different stages of neurocognitive disorders. Although very precise, this technique remains restrictive since it requires expensive equipment, technical skills, and long and repetitive tests while the patient stays motionless.
A new approach using the digit-tracking, named Digitrack (Lio et al. 2019), has shown excellent correlation with the eye tracking. The general principle is as follows: a blurred image is displayed on a touchpad screen. This degraded image reproduces the spatial resolution of the peripheral retina. While the patient put his finger on the screen, the area around the finger is unblurred, simulating the foveal region (central region) of the eye. By sliding his finger, the subject moves the unblurred window and can explore the image. The exploration trajectory, like the eye movement trajectory with eye tracking, is recorded and reveals the subjective regions of interest contained in the image which help to assess the user's neurocognitive functions.
The advantage of the Digitrack process is to require a cheap and easy-to-use device to assess the cognitive status of patients in a fun way and close to real conditions.
To date, its usability has not been demonstrated in elderly patients with or without neurocognitive disorders.
The investigators formulate the main hypothesis that patients visiting or hospitalized in the acute care geriatrics department, with or without cognitive disorders, can use the Digitrack process.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| User experience | Other | User experience is assessed by validated scales |
| Measure | Description | Time Frame |
|---|---|---|
| Success rate of the Digitrack use | The number of patients able to complete the training and evaluation phases with the Digitrack, consisting of the exploration of 3 and at least 20 images respectively. | after 5 minutes of Digitrack use |
| Measure | Description | Time Frame |
|---|---|---|
| User experience assessed with the AttrakDiff scale | The AttrakDiff is composed of 28 items. Each item is presented as a 7-point semantic differential (e.g. "simple - complicated"). The rates range between -3 and 3, 0 being the neutral value. The scores are averaged across the population. | after 5 minutes of Digitrack use |
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Inclusion Criteria:
Exclusion Criteria:
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All consecutive patients meeting the eligibility criteria over the study period.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Angers University Hospital | Angers | 49000 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31772154 | Background | Lio G, Fadda R, Doneddu G, Duhamel JR, Sirigu A. Digit-tracking as a new tactile interface for visual perception analysis. Nat Commun. 2019 Nov 26;10(1):5392. doi: 10.1038/s41467-019-13285-0. | |
| Background | Chi MTH, Wylie R. The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes. Educational Psychologist. 2014; 49:219-243. |
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IPD are not planned to be shared with other researchers
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| ID | Term |
|---|---|
| D019965 | Neurocognitive Disorders |
| ID | Term |
|---|---|
| D001523 | Mental Disorders |
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| User experience assessed with the modular evaluation of the Components of User Experience (meCUE) questionnaire |
The module II 'emotions' of the meCUE questionnaire is used. It is composed of 8 items. Each item is presented as emotional sentences (e.g. "The product excites me.") and the user rates his agreement with the sentence on a 7-point Likert scale. The scores are averaged across the population |
| after 5 minutes of Digitrack use |
| User engagement | The user engagement is classified according to an internally developped scale including 5 levels : 'interactive', 'constructive', 'active', 'passive', 'disengaged'. The experimenter attributes the level of engagement according to the participant's dominant behavior during the whole experimental procedure. | after 5 minutes of Digitrack use |