Literature DB >> 26356926

The Effects of Interactive Latency on Exploratory Visual Analysis.

Zhicheng Liu, Jeffrey Heer.   

Abstract

To support effective exploration, it is often stated that interactive visualizations should provide rapid response times. However, the effects of interactive latency on the process and outcomes of exploratory visual analysis have not been systematically studied. We present an experiment measuring user behavior and knowledge discovery with interactive visualizations under varying latency conditions. We observe that an additional delay of 500 ms incurs significant costs, decreasing user activity and data set coverage. Analyzing verbal data from think-aloud protocols, we find that increased latency reduces the rate at which users make observations, draw generalizations and generate hypotheses. Moreover, we note interaction effects in which initial exposure to higher latencies leads to subsequently reduced performance in a low-latency setting. Overall, increased latency causes users to shift exploration strategy, in turn affecting performance. We discuss how these results can inform the design of interactive analysis tools.

Mesh:

Year:  2014        PMID: 26356926     DOI: 10.1109/TVCG.2014.2346452

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  Interactive Exploration on Large Genomic Datasets.

Authors:  Eric Tu
Journal:  EECS Tech Rep Ser       Date:  2016-05-16

2.  QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil.

Authors:  Juan Carlos Carbajal Ipenza; Noemi Maritza Lapa Romero; Melina Loreto; Nivan Ferreira Júnior; João Luiz Dihl Comba
Journal:  Appl Soft Comput       Date:  2022-06-03       Impact factor: 8.263

3.  Panoptes: web-based exploration of large scale genome variation data.

Authors:  Paul Vauterin; Ben Jeffery; Alistair Miles; Roberto Amato; Lee Hart; Ian Wright; Dominic Kwiatkowski
Journal:  Bioinformatics       Date:  2017-10-15       Impact factor: 6.937

4.  Explora: Interactive Querying of Multidimensional Data in the Context of Smart Cities.

Authors:  Leandro Ordonez-Ante; Gregory Van Seghbroeck; Tim Wauters; Bruno Volckaert; Filip De Turck
Journal:  Sensors (Basel)       Date:  2020-05-11       Impact factor: 3.576

5.  HiGlass: web-based visual exploration and analysis of genome interaction maps.

Authors:  Peter Kerpedjiev; Nezar Abdennur; Fritz Lekschas; Chuck McCallum; Kasper Dinkla; Hendrik Strobelt; Jacob M Luber; Scott B Ouellette; Alaleh Azhir; Nikhil Kumar; Jeewon Hwang; Soohyun Lee; Burak H Alver; Hanspeter Pfister; Leonid A Mirny; Peter J Park; Nils Gehlenborg
Journal:  Genome Biol       Date:  2018-08-24       Impact factor: 13.583

  5 in total

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