An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts

Interactive Data VisualizationUser Research Methods (Interviews, Surveys, Observation)University Professors & ResearchersData Scientists & Analysts

Experts in different domains rely increasingly on simulation models of complex processes to reach insights, make decisions, and plan future projects. These models are often used to study possible trade-offs, as experts try to optimise multiple conflicting objectives in a single investigation. Understanding all the model intricacies, however, is challenging for a single domain expert. We propose a simple approach to support multiple experts when exploring complex model results. First, we reduce the model exploration space, then present the results on a shared interactive surface, in the form of a scatterplot matrix and linked views. To explore how multiple experts analyse trade-offs using this setup, we carried out an observational study focusing on the link between expertise and insight generation during the analysis process. Our results reveal the different exploration strategies and multi-storyline approaches that domain experts adopt during trade-off analysis, and inform our recommendations for collaborative model exploration systems.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/7833/2019

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2019
emoji_events
Award
No award tagged
group
Authors
5 authors
sell
Subtopics
Interactive Data Visualization, User Research Methods (Interviews, Surveys, Observation)
work
Professions
University Professors & Researchers, Data Scientists & Analysts
article
Content Status
Abstract only
hub
Related Papers
4 related papers