Effectiveness of Color-Picking Interfaces Among Non-designers

There are relatively few studies on the effectiveness of color picking interface. This study therefore set out to measure both the efficiency in terms of task completion time and preference of four color-picking interfaces found in many design software applications including RGB, HSL, map and palette. A controlled experiment was conducted involving n = 16 participants without formal design training. The results show that the map and RGB interfaces were preferred by the participants while the palette interface resulted in the shortest task completion times. The HSL was the least favorable color picking interface for the given cohort of users. The results indicate that the palette, map and RGB color pickers found in entry level software probably are the most suitable for users without training in the use of colors.acceptedVersio

LetterVis: a letter-space view of clinic letters

The number of electronic health records (EHRs) collected by healthcare providers is growing at an unprecedented pace. Clinicians often compose detailed clinic letters to record as much essential information during consultations as they can. This increases the workload of analyzing these letters, performing individual and collective analysis, and clinical decision making. This paper presents a novel visualization tool, LetterVis, to support the analysis of clinic letters through advanced interactive visual designs and queries. We describe a letter-space that facilities the visual exploration of content and patterns inside a letter. Letters are processed using natural language processing techniques and explored in multiple linked interactive views providing different levels of abstraction. The tool includes customized visual designs and views for visualizing antiepileptic drugs (AEDs). We provide a range of filtering and selection options to assist pattern finding and outlier detection. We demonstrate LetterVis with three case studies using anonymized clinic letters, revealing insight that is normally either time-consuming or impossible to observe. Domain expert partners from EHR analysis review the software and are involved in every phase from the initial design to evaluation