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

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [58 references]  Display  Hide  Download

https://hal.inria.fr/hal-02005699
Contributor : Anastasia Bezerianos <>
Submitted on : Monday, February 4, 2019 - 11:24:56 AM
Last modification on : Tuesday, October 15, 2019 - 1:59:00 PM
Long-term archiving on : Sunday, May 5, 2019 - 1:47:36 PM

File

pareto_study (1).pdf
Files produced by the author(s)

Identifiers

Citation

Nadia Boukhelifa, Anastasia Bezerianos, Ioan Cristian Trelea, Nathalie Perrot, Evelyne Lutton. An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts. ACM CHI 2019 - Conference on Human Factors in Computing Systems Proceedings, May 2019, Glasgow, United Kingdom. ⟨10.1145/3290605⟩. ⟨hal-02005699⟩

Share

Metrics

Record views

143

Files downloads

104