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Hans-Jörg Schulz

The Human User in Progressive Visual Analytics

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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The Human User in Progressive Visual Analytics. / Micallef, Luana; Schulz, Hans-Jörg; Angelini, Marco; Aupetit, Michaël; Chang, Remco; Kohlhammer, Jörn; Perer, Adam; Santucci, Giuseppe.

EuroVis 2019 - Short Papers. Eurographics Association, 2019. p. 19-23.

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Harvard

Micallef, L, Schulz, H-J, Angelini, M, Aupetit, M, Chang, R, Kohlhammer, J, Perer, A & Santucci, G 2019, The Human User in Progressive Visual Analytics. in EuroVis 2019 - Short Papers. Eurographics Association, pp. 19-23, 21st EG/VGTC Conference on Visualization, Porto, Portugal, 03/06/2019. https://doi.org/10.2312/evs.20191164

APA

Micallef, L., Schulz, H-J., Angelini, M., Aupetit, M., Chang, R., Kohlhammer, J., Perer, A., & Santucci, G. (2019). The Human User in Progressive Visual Analytics. In EuroVis 2019 - Short Papers (pp. 19-23). Eurographics Association. https://doi.org/10.2312/evs.20191164

CBE

Micallef L, Schulz H-J, Angelini M, Aupetit M, Chang R, Kohlhammer J, Perer A, Santucci G. 2019. The Human User in Progressive Visual Analytics. In EuroVis 2019 - Short Papers. Eurographics Association. pp. 19-23. https://doi.org/10.2312/evs.20191164

MLA

Micallef, Luana et al. "The Human User in Progressive Visual Analytics". EuroVis 2019 - Short Papers. Eurographics Association. 2019, 19-23. https://doi.org/10.2312/evs.20191164

Vancouver

Micallef L, Schulz H-J, Angelini M, Aupetit M, Chang R, Kohlhammer J et al. The Human User in Progressive Visual Analytics. In EuroVis 2019 - Short Papers. Eurographics Association. 2019. p. 19-23 https://doi.org/10.2312/evs.20191164

Author

Micallef, Luana ; Schulz, Hans-Jörg ; Angelini, Marco ; Aupetit, Michaël ; Chang, Remco ; Kohlhammer, Jörn ; Perer, Adam ; Santucci, Giuseppe. / The Human User in Progressive Visual Analytics. EuroVis 2019 - Short Papers. Eurographics Association, 2019. pp. 19-23

Bibtex

@inproceedings{aa522adcee0d41ce90c04fc6358b69c0,
title = "The Human User in Progressive Visual Analytics",
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.",
author = "Luana Micallef and Hans-J{\"o}rg Schulz and Marco Angelini and Micha{\"e}l Aupetit and Remco Chang and J{\"o}rn Kohlhammer and Adam Perer and Giuseppe Santucci",
year = "2019",
doi = "10.2312/evs.20191164",
language = "English",
isbn = "978-3-03868-090-1",
pages = "19--23",
booktitle = "EuroVis 2019 - Short Papers",
publisher = "Eurographics Association",
note = "21st EG/VGTC Conference on Visualization, EuroVis ; Conference date: 03-06-2019 Through 07-06-2019",
url = "https://www.eurovis.org/",

}

RIS

TY - GEN

T1 - The Human User in Progressive Visual Analytics

AU - Micallef, Luana

AU - Schulz, Hans-Jörg

AU - Angelini, Marco

AU - Aupetit, Michaël

AU - Chang, Remco

AU - Kohlhammer, Jörn

AU - Perer, Adam

AU - Santucci, Giuseppe

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

U2 - 10.2312/evs.20191164

DO - 10.2312/evs.20191164

M3 - Article in proceedings

SN - 978-3-03868-090-1

SP - 19

EP - 23

BT - EuroVis 2019 - Short Papers

PB - Eurographics Association

T2 - 21st EG/VGTC Conference on Visualization

Y2 - 3 June 2019 through 7 June 2019

ER -