Towards the Understanding of Interaction in Information Visualization

Figueiras, Ana

doi:10.1109/iv.2015.34

Cited by 17 publications

(12 citation statements)

References 23 publications

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“…A key concern is the limited consideration for human (e.g., gaze, speech, haptics, sound, full-body) and technology modalities (e.g., pen, sketch, multi-touch surfaces), compared to the classic desktop-mouse-keyboard setups [36,54,65,66,74]. Beyond modalities, visualization systems are often not flexible when users want to express complex data queries [16,54,66,120], integrate annotations [39,54], input new data [21], bookmark and extract insights [39], iterate over their activity history [39,84], organize freely elements of the layout [54], choose their own statistical [37,54] and visualization models [54,79,100,102], and collaborate in real-time [39,54].…”

Section: Reported Benefits and Critiques On Interactionmentioning

confidence: 99%

“…On the other hand, there is an overfocus on operationalizing user goals. As a result the visualization community ignores other objectives that broaden the interaction palette, such as engagement, playfulness and gamification [36,39,74], which reflect softer, or even lack of, user goal.…”

Section: Reported Benefits and Critiques On Interactionmentioning

confidence: 99%

“…Human-centric approaches describe interaction in terms of user intent [32,39,47,99,126] rather than low-level mechanisms for supporting these intents. High-level cognitive activities introduce interactions such as notes (external source of data and external knowledge) and history that relate to insight actions [45], meta actions [45], and provenance actions [54], as opposed to exploration actions.…”

Section: System Task or Human?mentioning

confidence: 99%

“…Processing actions stress the challenges of supporting complex data queries [54] and of merging statistical modelling and data exploration within a single interface [37]. Non-data actions stress the challenge of fostering collaboration [55,80] and reflection over past activities [39,50,84]. Input actions -perhaps the most overlooked actions [62] -stress the challenge of enriching interaction means for data input [4,26,62], ranging from correcting erroneous data [82] to adding metadata and data-aware annotations [39,54,117] to creating knowledge from scratch [59,111].…”

Section: Research Opportunities and Challengesmentioning

confidence: 99%

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What is Interaction for Data Visualization?

Dimara

Périn

2020

IEEE Trans. Visual. Comput. Graphics

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Interaction is fundamental to data visualization, but what "interaction" means in the context of visualization is ambiguous and confusing. We argue that this confusion is due to a lack of consensual definition. To tackle this problem, we start by synthesizing an inclusive view of interaction in the visualization community-including insights from information visualization, visual analytics and scientific visualization, as well as the input of both senior and junior visualization researchers. Once this view takes shape, we look at how interaction is defined in the field of human-computer interaction (HCI). By extracting commonalities and differences between the views of interaction in visualization and in HCI, we synthesize a definition of interaction for visualization. Our definition is meant to be a thinking tool and inspire novel and bolder interaction design practices. We hope that by better understanding what interaction in visualization is and what it can be, we will enrich the quality of interaction in visualization systems and empower those who use them.

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Section: Reported Benefits and Critiques On Interactionmentioning

confidence: 99%

Section: Reported Benefits and Critiques On Interactionmentioning

confidence: 99%

Section: System Task or Human?mentioning

confidence: 99%

Section: Research Opportunities and Challengesmentioning

confidence: 99%

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What is Interaction for Data Visualization?

Dimara

Périn

2020

IEEE Trans. Visual. Comput. Graphics

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“…Therefore, its design and development incorporated some elements of both the theory of perception [7] and cognitive theory [8]. Elements of interaction taxonomy [9] -filtering, selecting, abstract/elaborate, overview/explore, and connect/relate -were integrated as well.…”

Section: Related Workmentioning

confidence: 99%

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Hernández-Castro¹,

Monge-Fallas²

2019

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The Volcanological and Seismological Observatory of Costa Rica (OVSICORI) has been recording and archiving seismic activity data in Costa Rica since 1984.We have designed and implemented a visualization tool, Plinius, to analyze the 3D location of 119 206 archived earthquakes occurring from 1984-2016, providing views from every desired angle and other specific needs of this scientific domain.Using Plinius, OVSICORI seismologists can visualize the convergence of different tectonic plates in Costa Rica, detect new seismic activity, and facilitate necessary data management regarding the country's geography. Most of the existing tools for this kind of task are 2D and do not have essential data filters for the domain; by contrast, Plinius enables scientists to analyze all the data in a 3D environment and to filter it in many different ways to derive better conclusions. This article describes Plinius and its potential.

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Information Visualization: Features and Challenges in the Production of Data Stories

Figueiras

Vizoso

2022

Studies in Big Data

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Towards the Understanding of Interaction in Information Visualization

Cited by 17 publications

References 23 publications

What is Interaction for Data Visualization?

What is Interaction for Data Visualization?

Plinius: A Visualization System of Costa Rica's Tectonic Plates

Information Visualization: Features and Challenges in the Production of Data Stories

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