TU Darmstadt / ULB / TUbiblio

The Human User in Progressive Visual Analytics

Micallef, Luana ; Schulz, Hans-Jörg ; Angelini, Marco ; Aupetit, M. ; Chang, Remco ; Kohlhammer, Jörn ; Perer, Adam ; Santucci, Giuseppe (2019)
The Human User in Progressive Visual Analytics.
21st Eurographics / VGTC Conference on Visualization (EuroVis). Porto, Portugal (03.-07. June, 2019)
doi: 10.2312/evs.20191164
Conference or Workshop Item, Bibliographie

Abstract

The amount of generated and analyzed data is ever increasing, and processing such large data sets can take too long in situations where time-to-decision or fluid data exploration are critical. Progressive visual analytics (PVA) has recently emerged as a potential solution that allows users to analyze intermediary results during the computation without waiting for the computation to complete. However, there has been limited consideration on how these techniques impact the user. Based on discussions from a Dagstuhl seminar held in October 2018, this paper characterizes PVA users by their common roles, their main tasks, and their distinct focus of analysis. It further discusses cognitive biases that play a particular role in PVA. This work will help PVA visualization designers in devising systems that are tailored for their specific target users and their characteristics.

Item Type: Conference or Workshop Item
Erschienen: 2019
Creators: Micallef, Luana ; Schulz, Hans-Jörg ; Angelini, Marco ; Aupetit, M. ; Chang, Remco ; Kohlhammer, Jörn ; Perer, Adam ; Santucci, Giuseppe
Type of entry: Bibliographie
Title: The Human User in Progressive Visual Analytics
Language: English
Date: 2019
Event Title: 21st Eurographics / VGTC Conference on Visualization (EuroVis)
Event Location: Porto, Portugal
Event Dates: 03.-07. June, 2019
DOI: 10.2312/evs.20191164
Abstract:

The amount of generated and analyzed data is ever increasing, and processing such large data sets can take too long in situations where time-to-decision or fluid data exploration are critical. Progressive visual analytics (PVA) has recently emerged as a potential solution that allows users to analyze intermediary results during the computation without waiting for the computation to complete. However, there has been limited consideration on how these techniques impact the user. Based on discussions from a Dagstuhl seminar held in October 2018, this paper characterizes PVA users by their common roles, their main tasks, and their distinct focus of analysis. It further discusses cognitive biases that play a particular role in PVA. This work will help PVA visualization designers in devising systems that are tailored for their specific target users and their characteristics.

Uncontrolled Keywords: User requirements Visual analytics
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 17 Apr 2020 10:44
Last Modified: 17 Apr 2020 10:44
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details