Designing Self-reflective and Comprehensible Visualisation for Self-care Applications

Visvalingam, Archanaa; Dhillon, Jaspaljeet Singh

doi:10.1109/icimu49871.2020.9243584

Cited by 2 publications

(3 citation statements)

References 11 publications

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“…In this respect, making the self-tracking experience engaging also involves some thought about how to present the data that the system collects and generates. 51 …”

Section: Discussionmentioning

confidence: 99%

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Co-designing a digital companion with people living with Parkinson's to support self-care in a personalized way: The eCARE-PD Study

et al. 2022

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eHealth technologies play a role in the development of integrated care models for people living with Parkinson disease by improving communication with their health care teams and support self-care practices in a personalized way. This article presents a co-design approach to designing an eHealth technology, the eCARE-PD platform, that addresses the needs and expectations of people living with Parkinson disease, generates tailored care tips, and recommends actions for managing care priorities at home. We use a co-design approach involving four main iterative phases: (1) preparation, (2) mapping, (3) testing and using, and (4) co-producing solutions and requirements. This approach uses several methods to engage people directly to design this technology. The study allowed us to identify design principles to be integrated in the development of the eCARE-PD platform. These principles incorporate the expectations of future users, which were expressed during the iterative phases of the co-design process: (a) six key design features based on users’ needs and expectations, (b) six main issues users raised during a test at home and key features for improving the design of the eCARE-PD platform, and (c) collective solutions to design an interactive, meaningful, tailored, empathic, and socially acceptable technology. The results of the successive phases of the co-design process allow us to underline the progressive constitution of a technology defined over successive iterations as a digital companion supporting the self-care process at home and having the capacity to generate tailored digital health communication.

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“…In this respect, making the self-tracking experience engaging also involves some thought about how to present the data that the system collects and generates. 51 …”

Section: Discussionmentioning

confidence: 99%

“…In this respect, making the selftracking experience engaging also involves some thought about how to present the data that the system collects and generates. 51 Functionality 3: tailored care recommendations and customizable educational and community resources (action)…”

Section: Discussionmentioning

confidence: 99%

Co-designing a digital companion with people living with Parkinson's to support self-care in a personalized way: The eCARE-PD Study

et al. 2022

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“…Other research on self-care also looks more towards ways or training psychologists about self-care for their patients [9]. In another study, discussed the principles for designing visuals of self care applications, but not until designing design solutions that will be provided to users [10]. While this study uses a user centered design method by prioritizing user problems and needs, evaluation using Usability Testing and System Usability Scale by adding features for level 2 of MHPSS, namely prevention (storytelling room).…”

Section: Introductionmentioning

confidence: 99%

Implementation of User Centered Design on Interface Design for Mental Health Selfcare Services

Pranata

Herdiani²,

Hadikusuma³

2022

mib

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Mental health is essential in performing maximum activities. During the COVID-19 pandemic that is spreading all over the world. Some activities are transformed into a new activity called "New Normal". With these new activities, the level of mental health in Indonesia has deteriorated. WHO as a world health organization made a mental health pyramid that handling of every level of mental health. There are 4 levels, which are promotive, preventive, monitoring and identifying psychosocial services, and specialist services. In the results of observations and analysis, digital-based services in Indonesia prioritize levels 3 and 4, while levels 1 and 2 are still infrequent, and the application is still not perfectly weighted. This study will design a mental health application by emphasizing level 1 and 2 treatment, namely self-care and storytelling sessions using the User Centered Design method, and the results of the evaluation used the usability testing method and the usability scale system. With this research, potential users obtain an interface resolution with a mood tracker, self-care, and storytelling features that users desire. By helping the user to perceive the history of the condition, getting self-care and storytelling rooms according to the user's condition, and helping the user's condition to bolster up and not add to the burden of the user's condition. The outcome of the evaluation that has been done, results that the average user completed each task for 16.59 seconds, the average result is 0 miss click and 0 miss click page, and the results from the System Usability Scale are 81.51 with the "Excellent" category, with the composition of solutions provided to answer user problems.

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Designing Self-reflective and Comprehensible Visualisation for Self-care Applications

Cited by 2 publications

References 11 publications

Co-designing a digital companion with people living with Parkinson's to support self-care in a personalized way: The eCARE-PD Study

Co-designing a digital companion with people living with Parkinson's to support self-care in a personalized way: The eCARE-PD Study

Implementation of User Centered Design on Interface Design for Mental Health Selfcare Services

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