Quality of Digital Health Interventions Across Different Health Care Domains: Secondary Data Analysis Study.

Background: There are more than 350,000 digital health interventions (DHIs) in the app stores. To ensure that they are effective and safe to use, they should be assessed for compliance with best practice standards.

Objective: The objective of this paper was to examine and compare the compliance of DHIs with best practice standards and adherence to user experience (UX), professional and clinical assurance (PCA), and data privacy (DP).

System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis.

Background: The System Usability Scale (SUS) is a widely used scale that has been used to quantify the usability of many software and hardware products. However, the SUS was not specifically designed to evaluate mobile apps, or in particular digital health apps (DHAs).

Objective: The aim of this study was to examine whether the widely used SUS distribution for benchmarking (mean 68, SD 12.

Space, time and memory: tales from a long road.

Points, lines and surfaces are the basic elements of Euclidean geometry. In this paper, accompanying a keynote at ICSC 2018, we will explore how, in physics, cognition and our lived experience, it is often better to think in terms of interconnected threads than an evolving state of the world now. In physics 'now' is an illusion, merely a convenient construction, each particle and person is more like an independent strand in space-time, and similarly, in our minds, strands of memories from different roles and contexts flow almost independently.

A taxonomy of clutter reduction for information visualisation.

Information visualisation is about gaining insight into data through a visual representation. This data is often multivariate and increasingly, the datasets are very large. To help us explore all this data, numerous visualisation applications, both commercial and research prototypes, have been designed using a variety of techniques and algorithms.

Enabling automatic clutter reduction in parallel coordinate plots.

We have previously shown that random sampling is an effective clutter reduction technique and that a sampling lens can facilitate focus+context viewing of particular regions. This demands an efficient method of estimating the overlap or occlusion of large numbers of intersecting lines in order to automatically adjust the sampling rate within the lens. This paper proposes several ways for measuring occlusion in parallel coordinate plots.