Improving Comprehension of Measurements Using Concrete Re-expression Strategies

論文URL:http://dl.acm.org/citation.cfm?doid=3173574.3173608

論文アブストラクト:It can be difficult to understand physical measurements (e.g., 28 lb, 600 gallons) that appear in news stories, data reports, and other documents. We develop tools that automatically re-express unfamiliar measurements using the measurements of familiar objects. Our work makes three contributions: (1) we identify effectiveness criteria for objects used in concrete measurement re-expressions; (2) we operationalize these criteria in a scalable method for mining a large dataset of concrete familiar objects with their physical dimensions from Amazon and Wikipedia; and (3) we develop automated concrete re-expression tools that implement three common re-expression strategies (adding familiar context, reunitization and proportional analogy) as energy minimization algorithms. Crowdsourced evaluations of our tools indicate that people find news articles with re-expressions more helpful and re- expressions help them to better estimate new measurements.

日本語のまとめ:

ニュースなどでみられる測定値をわかりやすくするために,一般的なオブジェクトと測定値のデータベースを作成.再表現しなかった場合と比較して,データベースを使用した場合,エラー率は減少し,認知に有用だと答える人の数は18倍に増加した.

(115文字)

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