Using concrete and realistic data in evaluating initial visualization designs

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Using concrete and realistic data in evaluating initial visualization designs. / Knudsen, Søren; Pedersen, Jeppe Gerner; Herdal, Thor; Larsen, Jakob Eg.

Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Association for Computing Machinery, 2016. s. 27-35.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Knudsen, S, Pedersen, JG, Herdal, T & Larsen, JE 2016, Using concrete and realistic data in evaluating initial visualization designs. i Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Association for Computing Machinery, s. 27-35, 6th Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, Baltimore, USA, 24/10/2016. https://doi.org/10.1145/2993901.2993917

APA

Knudsen, S., Pedersen, J. G., Herdal, T., & Larsen, J. E. (2016). Using concrete and realistic data in evaluating initial visualization designs. I Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization (s. 27-35). Association for Computing Machinery. https://doi.org/10.1145/2993901.2993917

Vancouver

Knudsen S, Pedersen JG, Herdal T, Larsen JE. Using concrete and realistic data in evaluating initial visualization designs. I Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Association for Computing Machinery. 2016. s. 27-35 https://doi.org/10.1145/2993901.2993917

Author

Knudsen, Søren ; Pedersen, Jeppe Gerner ; Herdal, Thor ; Larsen, Jakob Eg. / Using concrete and realistic data in evaluating initial visualization designs. Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization. Association for Computing Machinery, 2016. s. 27-35

Bibtex

@inproceedings{092e8114ebfc4daf9e09a8d50e3a9e0d,
title = "Using concrete and realistic data in evaluating initial visualization designs",
abstract = "We explore means of designing and evaluating initial visualization ideas, with concrete and realistic data in cases where data is not readily available. Our approach is useful in exploring new domains and avenues for visualization, and contrasts other visualization work, which typically operate under the assumption that data has already been collected, and is ready to be visualized. We argue that it is sensible to understand data requirements and evaluate the potential value of visualization before devising means of automatic data collection. We base our exploration on three cases selected to span a range of factors, such as the role of the person doing the data collection and the type of instrumentation used. The three cases relate to visualizing sports, construction, and cooking domain data, and use primarily time-domain data and visualizations. For each case, we briefly describe the design case and problem, the manner in which we collected data, and the findings obtained from evaluations. Afterwards, we describe four factors of our data collection approach, and discuss potential outcomes from it.",
keywords = "Evaluation, InfoVis, Methodology, Personal visualization, Pre-design empiricism",
author = "S{\o}ren Knudsen and Pedersen, {Jeppe Gerner} and Thor Herdal and Larsen, {Jakob Eg}",
year = "2016",
doi = "10.1145/2993901.2993917",
language = "English",
pages = "27--35",
booktitle = "Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization",
publisher = "Association for Computing Machinery",

}

RIS

TY - GEN

T1 - Using concrete and realistic data in evaluating initial visualization designs

AU - Knudsen, Søren

AU - Pedersen, Jeppe Gerner

AU - Herdal, Thor

AU - Larsen, Jakob Eg

PY - 2016

Y1 - 2016

N2 - We explore means of designing and evaluating initial visualization ideas, with concrete and realistic data in cases where data is not readily available. Our approach is useful in exploring new domains and avenues for visualization, and contrasts other visualization work, which typically operate under the assumption that data has already been collected, and is ready to be visualized. We argue that it is sensible to understand data requirements and evaluate the potential value of visualization before devising means of automatic data collection. We base our exploration on three cases selected to span a range of factors, such as the role of the person doing the data collection and the type of instrumentation used. The three cases relate to visualizing sports, construction, and cooking domain data, and use primarily time-domain data and visualizations. For each case, we briefly describe the design case and problem, the manner in which we collected data, and the findings obtained from evaluations. Afterwards, we describe four factors of our data collection approach, and discuss potential outcomes from it.

AB - We explore means of designing and evaluating initial visualization ideas, with concrete and realistic data in cases where data is not readily available. Our approach is useful in exploring new domains and avenues for visualization, and contrasts other visualization work, which typically operate under the assumption that data has already been collected, and is ready to be visualized. We argue that it is sensible to understand data requirements and evaluate the potential value of visualization before devising means of automatic data collection. We base our exploration on three cases selected to span a range of factors, such as the role of the person doing the data collection and the type of instrumentation used. The three cases relate to visualizing sports, construction, and cooking domain data, and use primarily time-domain data and visualizations. For each case, we briefly describe the design case and problem, the manner in which we collected data, and the findings obtained from evaluations. Afterwards, we describe four factors of our data collection approach, and discuss potential outcomes from it.

KW - Evaluation

KW - InfoVis

KW - Methodology

KW - Personal visualization

KW - Pre-design empiricism

UR - http://www.scopus.com/inward/record.url?scp=84995477322&partnerID=8YFLogxK

U2 - 10.1145/2993901.2993917

DO - 10.1145/2993901.2993917

M3 - Article in proceedings

SP - 27

EP - 35

BT - Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization

PB - Association for Computing Machinery

ER -

ID: 176373961