Diamond Open Access - OA-Veröffentlichung ohne Publikationskosten (Sponsoring)
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- 2020 (3) (entfernen)
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- Englisch (3) (entfernen)
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- eye tracking (1)
- fixations (1)
- information processing (1)
- professional vision (1)
- visual expertise (1)
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- peer-reviewed (2)
Background
Older adults in care facilities face a high risk of experiencing depression. The impact that early interventions like biographical work have on the quality of life for older adults in such facilities is unknown.
Aim
To develop and evaluate a tablet-supported intervention for biographical work in long-term residential aged care to increase the quality of life for older adults.
Design
The study will be conducted in a randomized pretest–posttest control group design with follow-up testing in group and single settings. Participants will be randomized to the experimental intervention (tablet-supported biographic work) or the control intervention (planned tablet-supported game playing), each guided by senior volunteers. A total of 80 residents and 16 volunteers will be recruited. The primary outcome for the residents and volunteers will be quality of life as measured with the World Health Organization Quality of Life Assessment-for older adults. Secondary measures will be self-esteem and life satisfaction. In addition, we will examine residents’ ability to communicate and their functional independence.
Method
The first stage of the project involves developing an app. The app is developed in a user-centered, agile development process. It will use multimedia to prepare life history topics and links them to key questions. Next, a workshop is developed for the volunteers who accompany the use of the app in the institutions. During the second phase, biographic work stimulated by the app will be conducted in groups or individually with residents.
Discussion
This is the first known program tailored to older adults in care facilities and senior volunteers that aims to prevent depression by providing digitally supported biographic work.
The characteristic feature of inverse problems is their instability with respect to data perturbations. In order to stabilize the inversion process, regularization methods have to be developed and applied. In this work we introduce and analyze the concept of filtered diagonal frame decomposition which extends the standard filtered singular value decomposition to the frame case. Frames as generalized singular system allows to better adapt to a given class of potential solutions. In this paper, we show that filtered diagonal frame decomposition yield a convergent regularization method. Moreover, we derive convergence rates under source type conditions and prove order optimality under the assumption that the considered frame is a Riesz-basis.
Eye tracking is a powerful technique that helps reveal how people process visual information. This paper discusses a novel metric for indicating expertise in visual information processing. Named the Gaze
Relational Index (GRI), this metric is defined as the ratio of mean fixation duration to fixation count.
Data from two eye-tracking studies of professional vision and visual expertise in using 3D dynamic medical visualizations are presented as cases to illustrate the suitability and additional benefits of the
GRI. Calculated values of the GRI were higher for novices than for experts, and higher in non-representative, semi-familiar / unfamiliar task conditions than in domain-representative familiar tasks.
These differences in GRI suggest that, compared to novices, experts engaged in more knowledge-driven, top-down processing that was characterized by quick, exploratory visual search. We discuss future
research aiming to replicate the GRI in professional domains with complex visual stimuli and to identify the moderating role of cognitive ability on GRI estimates.