PaperlayerView exact revision on arXiv

Source-linked AI summary

Affective Visualization Design: Leveraging the Emotional Impact of Data

Xingyu Lan, Yanqiu Wu, Nan Cao

arXiv:2308.02831v2cs.HC

TL;DR

Emotion's role in visualization remains contested, and the field lacks a systematic account of its rationale and design practice. The authors review 109 papers and analyze 61 projects, organizing arguments and mapping design dimensions; they conclude that the field addresses varied real-world needs and broadens questions about visualization.

  • Problem

    Affective visualization remains underexplored amid rationalist norms, while the arguments for emotion and the landscape of design practice have not been systematically characterized.

    Source: §2.2 · p. 2

  • Method

    The authors review 109 papers and code 61 affective visualization projects across design fields, tasks, and methods.

    Source: §5.1 · p. 5, §7 · p. 9

  • Results

    The corpus spans research communities and paper types, while the project analysis characterizes where affective design applies, what tasks it undertakes, and how it is performed.

    Source: §3.3 · p. 3, §7 · p. 9

  • Takeaways & Limitations

    Affective visualization responds to emerging real-world needs and broadens discussion of what good visualization is, how it should be evaluated, and what it can do for individuals and society.

    Source: §7 · p. 9

    The snowball-collected corpus may omit less-cited sources, and the 61 projects are neither exhaustive nor representative of the full practice landscape.

    Source: §6.1 · p. 9

Abstract

from arXiv · show

In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number of studies have been conducted to explore emotion-related factors. However, so far, this research area is still in its early stages and faces a set of challenges, such as the unclear definition of key concepts, the insufficient justification of why emotion is important in visualization design, and the lack of characterization of the design space of affective visualization design. To address these challenges, first, we conducted a literature review and identified three research lines that examined both emotion and data visualization. We clarified the differences between these research lines and kept 109 papers that studied or discussed how data visualization communicates and influences emotion. Then, we coded the 109 papers in terms of how they justified the legitimacy of considering emotion in visualization design (i.e., why emotion is important) and identified five argumentative perspectives. Based on these papers, we also identified 61 projects that practiced affective visualization design. We coded these design projects in three dimensions, including design fields (where), design tasks (what), and design methods (how), to explore the design space of affective visualization design.

1 INTRODUCTION

Emotion is increasingly recognized as relevant to visualization, yet its role remains contested and the research area lacks clear scope, systematic justification, and a characterization of design practice. This paper reviews the field, organizes arguments for considering emotion, and maps affective visualization design projects.

1 INTRODUCTION

  • Emotion is described as influencing perception, cognition, and behavior, and as being associated with user engagement and recall of data.The introduction notes that emotion is pursued in artistic visualization and data storytelling.Source: §1 · p. 1
  • The field lacks a clear definition of affective visualization, a systematic account of why emotion matters in design, and a picture of where and how affective design is practiced.The authors also note controversy over whether emotion may hinder objectivity.Source: §1 · p. 1
  • The review identifies three research threads and focuses on affective visualization design: data visualization designed to communicate and influence emotion.It codes 109 papers for five argumentative perspectives and maps 61 projects across design fields, tasks, and methods.Source: §1 · p. 1

2 BACKGROUND

Affective design has a long history across design fields, but visualization has only recently begun to explore it. In visualization, emotional design remains contested amid rationalist norms emphasizing accuracy, clarity, and objectivity.

2.1 Affective Design

  • Affect is defined as an experience of feeling or emotion, and prior work is followed in using affect and emotion interchangeably.Industrial design and HCI have explored emotional design, while visualization researchers began highlighting affective opportunities more recently.Source: §2.1 · pp. 1–2

2.2 The Debate About Emotion in Visualization Design

  • Visualization norms emphasizing accuracy, concision, and clarity create tension with emotional elements, which have been criticized as distracting or as reducing objectivity.The pursuit of objectivity is associated with separating subjective emotions from objective facts.Source: §2.2 · p. 2
  • Arguments about emotion and visualization remain scattered, with no systematic review of why emotion matters or how affective design serves needs and should be designed.The paper aims to synthesize research and design practices to clarify the values of emotion and derive design implications.Source: §2.2 · p. 2

3 CORPUS COLLECTION

The authors refine a literature corpus by distinguishing three ways emotion relates to visualization, then characterize the resulting field and its research patterns. The corpus comprises 109 papers and spans multiple research communities and paper types.

3.1 Methodology

  • The literature search began with recent papers from leading visualization venues and used backward snowballing to identify additional papers under explicit inclusion criteria.Papers had to concern data visualization and explicitly mention emotion or related terms; overlapping papers were reduced to the more comprehensive work.Source: §3.1 · p. 2

3.2 Concept Clarification and Corpus Refinement

  • The authors distinguish emotion as the object visualized, a precondition of viewing, or a result of visualization design.They focus on the third thread and define affective visualization design as visualizations designed to communicate and influence emotion.Source: §3.2 · pp. 2–3
  • The refined corpus contains 109 papers, including four hybrid studies that also contribute knowledge about affective visualization design.The authors included papers focused on design and projects whose authors explicitly stated an intent to communicate and influence emotion.Source: §3.2 · p. 3

3.3 Corpus Overview

  • The corpus contains 75 computer science papers, 18 geography, 7 communication, 3 art, and 2 sociology papers, plus four papers from other areas, showing interest across multiple communities.Source: §3.3 · p. 3
  • 76 papers are theoretical and empirical, 28 concern representations and interaction, and 5 are applications; theoretical and empirical work remains dominant.Recent years have seen more representation methods and design tools proposed.Source: §3.3 · p. 3, Figure 1 · p. 3

4 WHY AFFECTIVE VISUALIZATION DESIGN

The authors code 109 papers to organize arguments for affective visualization design into five perspectives. These perspectives frame emotion as relevant to application needs, usefulness, rhetorical choices, social values, and humanistic practice.

4 WHY AFFECTIVE VISUALIZATION DESIGN

  • Thematic analysis of 109 papers yielded seven arguments grouped into five perspectives supporting affective visualization design.Two authors coded and reconciled the rationales through iterative discussion.Source: §4 · p. 3

4.1 From the Perspective of Application

  • 76 papers appeal to realistic needs, arguing that diverse domains have distinct priorities and that emotion serves artistic expression, media storytelling, education, and entertainment.The authors also describe emerging scenarios linked to technology and market needs, including maps used to share cherished stories.Source: §4.1 · pp. 3–4

4.2 From the Perspective of Usefulness

  • 67 papers argue that emotion is useful, citing evidence that it can coexist with rationality and support comprehension, engagement, connection with data, memory, and reflection.One study found that congruent affective map palettes were considered more appropriate and less confusing than incongruent palettes.Source: §4.2 · p. 4

4.3 From the Perspective of Rhetoric

  • 17 papers argue that visualization is rhetorical and that design choices integrate subjective factors, challenging claims that charts are fully objective.Examples include clean-looking charts that deliver different messages and may create an illusion of objectivity.Source: §4.3 · p. 4

4.4 From the Perspective of Sociology

  • Nine papers argue that avoiding emotion is not a universal rule, but reflects historical context, culture, and social values.The authors describe emotion's prominence in nineteenth-century chart design and its later devaluation alongside rationalism.Source: §4.4 · p. 5

4.5 From the Perspective of Humanism

  • Five papers argue from humanism that visualization should be humane and socially beneficial, criticizing designs that obscure the people behind statistics.Examples include minimalist fatality charts described as “cruel bars” and “cruel pies.”Source: §4.5 · p. 5

5 EXPLORING THE LANDSCAPE OF AFFECTIVE VISUALIZATION DESIGN: WHERE, WHAT, AND HOW

The section analyzes affective visualization design projects to explore the design space.

5 EXPLORING THE LANDSCAPE OF AFFECTIVE VISUALIZATION DESIGN: WHERE, WHAT, AND HOW

  • The section analyzes projects that practice affective visualization design to explore its design space.The section frames the analysis around the projects and the design space they reveal.Source: §5 · p. 5

5.1 Methodology

The authors assembled affective visualization design projects from their reviewed papers and additional in-the-wild examples, checking designers’ stated intents. They then coded the projects across design fields, tasks, and methods, refining technique labels through author consensus.

5.1 Methodology

  • The authors retained 36 design-study papers from their 109-paper corpus and found 25 additional in-the-wild projects whose designers explicitly stated affective intent.They checked project intents using publication pages, personal websites, interviews, and talks because prior descriptions alone did not establish designers’ true intents or tasks.Source: §5.1 · p. 5
  • The authors coded 61 projects across design fields, design tasks, and design methods, distinguishing high-level genres from low-level techniques.Two authors independently generated codes and themes, then discussed wording until reaching consensus on all techniques.Source: §5.1 · p. 5
  • Technique labels were refined for generalizability: “kinetic movement” replaced “animation” because projects also included installations rather than only screen-based motion.The authors initially agreed on 11 techniques and refined the remaining wording through discussion.Source: §5.1 · p. 5

5.2 Design Space

The authors characterize affective visualization through where design needs originate, what tasks projects pursue, and how designers enact them. Across 61 projects, the design space includes varied fields, tasks, genres, and emotional strategies.

5.2 Design Space

  • The design-space table represents 61 projects across fields, tasks, and methods; categorical hues mark genres, while grey check marks indicate other factors or classes.Fig. 3 provides examples of the projects.Source: §5.2 · p. 5, Figure 3 · p. 6

5.2.1 Where: Design Fields

  • Environmental sciences and ecology account for 16 projects (26%), social issues for 15 (25%), and health and well-being for 11 (18%).Other fields include news and media, daily life, business, urban studies, and history; four projects address mixed topics and two do not specify a field.Source: §5.2.1 · p. 5

5.2.2 What: Design Tasks

  • The authors identified 10 design tasks, including informing audiences, engaging them, experimenting, provoking reflection, advocating, socializing, healing, empowering, commemorating, and archiving.Inform concerns communicating information with emotion; engage concerns motivating people to spend time with visualization through elicited emotion.Source: §5.2.2 · pp. 5–6
  • Other tasks include advocating action, socializing through emotional exchange, healing well-being, empowering expression, commemorating, and archiving personally meaningful experiences.Examples include an interactive testimony interface, ceramic poppies representing fallen soldiers, and visualized walking experiences.Source: §5.2.2 · p. 6

5.2.3 How: Design Methods

  • The authors identified six genres: interactive interface, video, static image or painting, installation, artifact, and event.Installations are placed in public or cultural spaces; artifacts are smaller hand- or device-made objects, while events are designed activities for people to experience data.Source: §5.2.3 · pp. 6–7, Figure 4 · p. 7
  • Across 61 affective visualization design projects, authors identified 18 low-level techniques for influencing emotion and categorized them into four strategies, naming sensation and narrative in the cited passages.Source: §5.2.3 · p. 7
  • Behavioral methods invite people to operate, create, or experience visualizations through movement; contextual methods place visualization in a related setting or immersive environment.Examples include releasing pollution-encoding lanterns into a river and situating poppies at the Tower of London.Source: §5.2.3 · p. 7

5.2.4 Design Space Observations

  • Inform (57%) and engage (44%) are the most common tasks, while interactive interfaces (44%) lead genres; projects average 2.03 tasks, and many combine tasks or genres.Task priorities vary by field, and 12 projects use hybrid genres.Source: §5.2.4 · p. 7

WHAT TASK HOW TO DESIGN WHERE TO APPLY

The supplied labels include environmental sciences and ecology, as well as mixed topics or unspecified fields.

WHAT TASK HOW TO DESIGN WHERE TO APPLY

DESIGN PROJECT

The section inventories 61 affective visualization design projects across varied genres and design approaches. It highlights practices that combine digital and physical media.

DESIGN PROJECT

  • The inventory includes interface, installation, video, static image or painting, event, and artifact genres, alongside labels for sensation, narrative, behavior, context, imagery, and texture.Source: DESIGN PROJECT · p. 8
  • Table 1 analyzes 61 affective visualization design projects, with split design-genre entries indicating combinations of two or more genres.The table’s detailed information is available on the project website.Source: Table 1 · p. 8
  • Digital genres use VR for physical context and interactive features to manipulate online behavior, while physical artifacts can use digital elements to generate personal narratives.The authors describe these practices as evidence of fusion between online and offline experiences and exploration of cross-media design.Source: DESIGN PROJECT · p. 9

6 DISCUSSION AND FUTURE WORK

The authors identify limits in their literature collection and project sample, then outline research opportunities in evaluation, applications, user agency, and ethical practice. They call for more rigorous evidence and attention to the risks of eliciting emotion.

6.1 Limitations

  • The 61 projects are typical examples identified through research papers, not an exhaustive or representative account of affective visualization practice.Snowball searching may also overlook less-cited sources outside the references of the initial papers.Source: §6.1 · p. 9

6.2 Opportunities For Future Research

  • Future studies should evaluate design techniques, replicate conflicting findings across settings, investigate emerging technologies, and improve methodological rigor.The authors call for more diverse stimuli, larger samples, and alternative measures, including neuro-physiological measures.Source: §6.2 · p. 9
  • The authors propose expanding applications across disciplines and industries, strengthening people’s agency in design, and developing more authoring tools for ordinary users.They note that such tools are currently rare.Source: §6.2 · p. 9
  • Future work should examine emotional design’s side effects and ethics, including risks of bias, constrained interpretation, and misuse.The authors do not claim that eliciting emotion is always beneficial or that objectivity and neutrality should be discarded.Source: §6.2 · p. 9

7 CONCLUSION

The paper defines affective visualization design and synthesizes research on its rationale and practice. It presents the field as a growing area with potential to broaden how visualization is understood and applied.

7 CONCLUSION

  • The paper defines affective visualization design as data visualizations designed to communicate and influence emotion, reviews 109 papers, and analyzes 61 projects across where, what, and how dimensions.Source: §7 · p. 9
  • The authors describe affective visualization design as responding to emerging real-world needs and deepening understanding of visualization’s purposes, evaluation, and value for individuals and society.They suggest further investigation may help the community embrace more ideas, values, application scenarios, and users.Source: §7 · p. 9

Related papers

Loading 2308.02831v2…