Distributed User Interfaces: Specification of Essential Properties

Background This article describes the development and evaluation of a distributed user interface (DUI) application to assess visuomotor organization ability. This application enables therapists to evaluate the acquired brain injury (ABI) on patients, and patients, to perform the assessment on a touch screen while therapists can observe the assessment process in real time on a separated monitor without interfering patients during the process as in traditional methodologies employing physical elements. Objectives The main goal of this research is the evaluation of the quality in use of DUIs in the Pegboard Construction assessment with patients with ABI from the therapist perspective in the area of occupational therapy. Methods To evaluate our system, we have performed a usability evaluation following the ISO/IEC 25010 and ISO/IEC 25062 standards to evaluate software usability and quality and it was conducted in collaboration with therapists and psychologists that have previously worked with people with ABI in diagnostic and assessment tasks. Results We show the results of the evaluation collected in a table that shows the completeness rate for each user for both, assisted (i.e., the percentage of tasks where participants performed with test director assistance) and unassisted tasks (i.e., the percentage of tasks where participants completed tasks autonomously), the total time participants required to complete proposed tasks, the number of mistakes participants performed during the session, and the number of assists they required to finish proposed tasks. In addition, we also evaluated the user satisfaction regarding our application using the system usability scale. Conclusion The use of information technologies in this field enables therapists to perform these evaluations in a simpler, efficient, and automated way. This proposal enables patients to perform the assessment as it is performed traditionally using paper providing them with a touch screen in which they can easily insert a set of pins into the holes. The usability evaluation of the proposal meets the appropriate design standards for applications of this type, and this is demonstrated by the high degree of satisfaction of the participants.

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“…In Penãlver et al, 13 authors specify a set of essential properties of DUIs: portability, simultaneity, continuity, and decomposability.…”

Section: Artifactmentioning

confidence: 99%

Usability Evaluation of a Distributed User Interface Application for Visuomotor Organization Assessment

et al. 2020

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“…By authors Penaver, Melchior and Gallud in several papers from 2011 to 2013 [14][15][16][17] we know that any single user interface can be cataloged as a distributed user interface if it has some characteristics like portability, fragmentation (also known as decomposition), simultaneity, and continuity. Being the first two characteristics the most important to satisfied the transformation of a user interface to a distributed one [14,17,18].…”

Section: Distributed User Interfacesmentioning

confidence: 99%

“…From 2011 to 2013 several authors make some definitions [14][15][16][17][18] to formulate the DUI abstract model that allows developers to arrive at an implementation model. In this model, the elements of interaction (input, output and control), functionality, target, user interface, portability, decomposability, sub-user interfaces, platform, distributed user interfaces, simultaneity, requirements function and concurrency restriction stand out.…”

Section: Distributed User Interfacesmentioning

confidence: 99%

Mobile Distributed User Interfaces

Hernández-Rubio¹,

Viveros²,

Mendoza³

2020

Mobile Computing

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The success of a mobile application is due to the usability that the graphical user interface provides. A feature of mobile devices is the limited space for the interaction and the deployment of the graphical user interface. For this reason, user interfaces can have different interaction modalities. However, to work with information that can be complex to display, the use of modalities may not solve this problem. A possible alternative to provide more workspace to the users is through a distributed user interface (DUI). A mobile DUI allows the mobile applications to use two or more devices to execute the user interface. These devices can be Smart TVs or wearable such as smart watches. In this work the concepts of mobile DUI design are discussed, some use cases are presented and it is shown that its development in mobile devices is feasible.

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“…This set of interrelated devices, also known as multi-device ecosystems, allows users to interact with the system through different interaction mechanisms that are distributed in physical environments [3]. This paper presents an application that employs the Distributed User Interface (DUI) [4] paradigm in the D-Riska application [5] for the evaluation and diagnosis of Acquired Brain Injury. This application is based on the traditional Riska test, which is part of the Loewenstein Occupational Therapy Cognitive Assessment Battery (LOTCA) [6].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Assisted Cognitive Diagnosis for the D-Riska Application

Cuerda

Zornoza

Tesoriero

et al. 2021

Preprint

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In this article, we expose a system developed that extends the Acquired Brain Injury (ABI) diagnostic application known as D-Riska with an artificial intelligence module that supports the diagnosis of ABI enabling therapists to evaluate patients in an assisted way. The application is in charge of collecting the data of the diagnostic tests of the patients, and due to a multi-class. Convolutional Neural Network classifier (CNN), it is capable of making predictions that facilitate the diagnosis and the final score obtained in the test by the patient. To find out the best solution to this problem, different classifiers are used to compare the performance of the proposed model based on various classification metrics. The proposed CNN classifier makes predictions with 93 \% of Accuracy, 94 \% of Precision, 91 \%, of Recall and 92\% of F1-Score.

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Distributed User Interfaces: Specification of Essential Properties

Cited by 12 publications

References 8 publications

Usability Evaluation of a Distributed User Interface Application for Visuomotor Organization Assessment

Usability Evaluation of a Distributed User Interface Application for Visuomotor Organization Assessment

Mobile Distributed User Interfaces

Deep Learning Assisted Cognitive Diagnosis for the D-Riska Application

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