Implied dynamics in information visualization

Ziemkiewicz, Caroline; Kosara, Robert

doi:10.1145/1842993.1843031

Cited by 25 publications

(5 citation statements)

References 15 publications

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“…These design choices also need to be studied specifically for visualizations in motion. For example, the representation type [115], [116], the visualization complexity [19], [93], the decoration of the representation [24], [84], [85], the size of the visualization [16], or its color selection [91], [114], may affect how people perceive a visualization in motion. Nevertheless, there is some limited past research in visualization that involved looking at effects of motion.…”

Section: Situation Context and Designmentioning

confidence: 99%

Visualization in Motion: A Research Agenda and Two Evaluations

Yao

Bezerianos

Vuillemot

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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Moving visualization & stationary viewer. Stationary visualization & moving viewer. Moving visualization & moving viewer.Fig. 1: Visualization scenarios that involve different types of relative movement between viewers and visualization: (a): 0 A.D. game characters with attached health meters, (b): an augmented basketball match from the tool Clipper CourtVision. (c): a walkable visualization of the general organization of scholars at ENAC in France [75], [76]. (d): an on-street bar chart that can be driven or walked by created by the Respect New Haven activist group. (e): a runner looking at her fitness data. (f): a person checking financial charts on her phone while walking to a meeting. Image permissions are listed in the acknowledgments.

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Section: Situation Context and Designmentioning

confidence: 99%

Visualization in Motion: A Research Agenda and Two Evaluations

Yao

Bezerianos

Vuillemot

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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“…Viewers also have somewhat visceral reactions to the shape of circular charts. In a study by Ziemkiewicz and Kosara [ 18 ], respondents reported that bubble [circle] charts seemed “unstable,” “uncontrolled,” and “disconcerting” and that the donut chart looked like it might “roll away.” Thus, circular chart types not only influence interpretation of data but also inform credibility [ 16 ]. Such connotation may unduly influence the overall impression of the subject matter, with less stable shapes inadvertently privileging items in the chart related to exerting greater control and force.…”

Section: Circular Models: Ontario Use Of Force Modelmentioning

confidence: 99%

Critical Review of Visual Models for Police Use of Force Decision-Making

Nota

Stoyko²,

Jenkinson

et al. 2021

Vision

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Recent calls for widespread police reform include re-examination of existing training and practice surrounding the use of force (UOF, e.g., verbal and non-verbal communication, physical tactics, firearms). Visual models representing police UOF decision-making are used for both police training and public communication. However, most models have not been empirically developed or assessed in either the applied police or vision science literatures, representing significant gaps in knowledge. The purpose of the current review is to provide a novel, relevant, and practical analysis of the visual components of three common police UOF decision-making model types (circular, cyclical, staircase). We begin with a critical evaluation of the visual features specific to each model type (i.e., shape), followed by critical reviews of common visual features, including colour, implied motion, text, and clarity. The insights provided by the current work afford scientists from visual disciplines a unique opportunity to contribute meaningfully to the improvement of existing police UOF practices, with the goal of promoting public and occupational safety. To this end, we conclude with evidence-based recommendations for designing visual models that effectively promote training of police and communication of police UOF decision-making to the public.

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“…Visualisations in particular are often seen as being able to transfer information automatically [13], however, recent research questions this assumption. Challenges of representing big data [42] and a lack of understanding of factors influencing impact [65] make sense-making of data visualisations complicated. User specific factors such as the time available, user emotional states and the relevance of the data to the information quest contribute to how people make sense of a visualisation [29].…”

Section: Factors Affecting People's Ability To Make Sense Of Informationmentioning

confidence: 99%

Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study

Vornhagen

Zarrouk

Davis

et al. 2021

DG.O2021: The 22nd Annual International Conference on Digital Government Research

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City dashboards present information about a city to a broad audience with some thought given as to how some of these audiences might understand the information. However, little research has looked at how 'citizens' make sense of dashboards. Using two sample dashboards, we asked community activists from four different areas (Health, Environment, Transport and Agriculture) to explore the information displayed. Using grounded theory approaches, we looked at factors which support or hinder users sense-making. From further analysis of the data we identify four key challenges that need to be addressed to support users making sense of city dashboards: lack of support given for understanding the information and data presented, lack of possibilities for users to engage, lack of purpose, and a lack of governance. We recommend a series of design and development actions for city dashboards creators for each challenge area. The desire to give access to open data through dashboards requires a considerable investment of time and resourcesan investment that is wasted if dashboards are not useful to their users (citizens) and, as a result, are not used.

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Implied dynamics in information visualization

Cited by 25 publications

References 15 publications

Visualization in Motion: A Research Agenda and Two Evaluations

Visualization in Motion: A Research Agenda and Two Evaluations

Critical Review of Visual Models for Police Use of Force Decision-Making

Do city dashboards make sense? Conceptualising user experiences and challenges in using city dashboards. A case study

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