Session:「Visualization for the People」

Showing People Behind Data: Does Anthropomorphizing Visualizations Elicit More Empathy for Human Rights Data?

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025512

論文アブストラクト: We investigate the impact of using anthropomorphized data graphics over standard charts on viewers' empathy for, and prosocial behavior toward suffering populations, in the context of human rights narratives. We present a series of experiments conducted on Amazon Mechanical Turk, in which we compare various forms of anthropomorphized data graphics-ranging from a single human figure that "fills up" to show proportional data, to separated groups of individual human beings-with a standard chart baseline. Each experiment uses two carefully crafted human rights data-driven stories to present the graphics. Contrary to our expectations, we consistently find that anthropomorphized data graphics and standard charts have very similar effects on empathy and prosocial behavior.

日本語のまとめ:

人権に関わるデータの見た目を擬人化することでユーザの共感の度合が変わるかどうかを調査した。調査の結果、その共感の度合は一般的な円グラフと変わらないことが明らかになった。

Narratives in Crowdsourced Evaluation of Visualizations: A Double-Edged Sword?

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025870

論文アブストラクト: We explore the effects of providing task context when evaluating visualization tools using crowdsourcing. We gave crowdsource workers i) abstract information visualization tasks without any context, ii) tasks where we added semantics to the dataset, and iii) tasks with two types of backstory narratives: an analytic narrative and a decision-making narrative. Contrary to our expectations, we did not find evidence that adding data semantics increases accuracy, and further found that our backstory narratives can even decrease accuracy. Adding dataset semantics can however increase attention and provide subjective benefits in terms of confidence, perceived easiness, task enjoyability and perceived usefulness of the visualization. Nevertheless, our backstory narratives did not appear to provide additional subjective benefits. These preliminary findings suggest that narratives may have complex and unanticipated effects, calling for more studies in this area.

日本語のまとめ:

視覚化したデータをクラウドソーシングで評価する際、ユーザのデータの意味(背景)の理解度が評価に与える影響を調査した。その結果、評価の正確さは低下させるが評価する際の注意力の高まりや認識の容易さには繋がることがわかった。

Visualization Literacy at Elementary School

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025877

論文アブストラクト: This work advances our understanding of children's visualization literacy, and aims to improve it through a novel approach for teaching visualization at elementary school. We first contribute an analysis of data graphics and activities employed in grade K to 4 educational materials, and the results of a survey conducted with 16 elementary school teachers. We find that visualization education could benefit from integrating pedagogical strategies for teaching abstract concepts with established interactive visualization techniques. Building on these insights, we develop and study design principles for novel interactive teaching material aimed at increasing children's visualization literacy. We specifically contribute C'est La Vis, an online platform for teachers and students to respectively teach and learn about pictographs and bar charts, and report on our initial observations of its use in grades K and 2.

日本語のまとめ:

幼稚園~小学校4年までの教育に用いられるデータの視覚化を2年間にわたり調査した。既存の教材や教育者の教え方を調査した結果をもとに教育向けプラットフォームの設計・評価を行った。

Finding Similar People to Guide Life Choices: Challenge, Design, and Evaluation

論文URL: http://dl.acm.org/citation.cfm?doid=3025453.3025777

論文アブストラクト: People often seek examples of similar individuals to guide their own life choices. For example, students making academic plans refer to friends; patients refer to acquaintances with similar conditions, physicians mention past cases seen in their practice. How would they want to search for similar people in databases? We discuss the challenge of finding similar people to guide life choices and report on a need analysis based on 13 interviews. Our PeerFinder prototype enables users to find records that are similar to a seed record, using both record attributes and temporal events found in the records. A user study with 18 participants and four experts shows that users are more engaged and more confident about the value of the results to provide useful evidence to guide life choices when provided with more control over the search process and more context for the results, even at the cost of added complexity.

日本語のまとめ:

人は人生の選択肢において似た境遇の人を参考にするため、インタビューをもとに似た境遇の人を探したり、自分の位置付けを把握できるシステムのプロトタイプを作成した。