Design of Visualization Onboarding Concepts for a 2D Scatterplot in a Biomedical Visual Analytics Tool

Christina Stoiber, Daniela Moitzi, Holger Stitz, Dominic Girardi, Marc Streit, Wolfgang Aigner

Room: 105

2023-10-22T03:00:00ZGMT-0600Change your timezone on the schedule page
Exemplar figure, described by caption below
{\rtf1\ansi\ansicpg1252\cocoartf2709 \cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 ArialMT;\f1\froman\fcharset0 Times-Roman;} {\colortbl;\red255\green255\blue255;\red0\green0\blue0;} {\*\expandedcolortbl;;\cssrgb\c0\c0\c0;} \paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0 \deftab720 \pard\pardeftab720\sa320\partightenfactor0 \f0\fs29\fsmilli14667 \cf0 \expnd0\expndtw0\kerning0 \outl0\strokewidth0 \strokec2 Onboarding navigation concept. The navigation comprises two elements: the floating action button (1) revealing three onboarding stages: Reading, Interacting, and Analyzing, and (2) a step-by-step navigation widget that represents onboarding messages and arrow icons to navigate through them. \f1\fs24 \ }

Human-centered computing—Visualization— Visualization design and evaluation method;


Biomedical research is highly data-driven. Domain experts need to learn how to interpret complex data visualizations to gain insights. They often need help interpreting data visualizations as they are not part of their training. Integrating visualization onboarding concepts into visual analytics (VA) tools can support users in interpreting, reading, and extracting information from visual presentations. In this paper, we present the design of the onboarding concept for an interactive VA tool to analyze large scaled biological data, particularly high-throughput screening (HTS) data. We evaluated our onboarding design by conducting a cognitive walkthrough and interviews with thinking aloud. We also collected data on domain experts’ visualization literacy. The results of the cognitive walkthrough showed that domain experts positively commented on the onboarding design and proposed adjusting smaller aspects. The interviews showed that domain experts are well-trained in interpreting basic visualizations (e.g., scatterplot, bar chart, line chart). However, they need support correctly interpreting the data visualized in the scatterplot, as they are new to them. Another important insight was fitting the onboarding messages into the domain’s language.