Name
Abstract | ||
|---|---|---|
ABSTRACTIt 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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3173574.3173608 | Conference on Human Factors in Computing Systems |
Keywords | Field | DocType |
Measurement re-expression, analogy, reunitization, proportional analogy | Expression (mathematics),Computer science,Human–computer interaction,Operationalization,Analogy,Comprehension,Scalability | Conference |
Citations | PageRank | References |
2 | 0.41 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessica Hullman | 1 | 477 | 26.51 |
| Yea-Seul Kim | 2 | 69 | 8.08 |
| Francis Nguyen | 3 | 17 | 1.09 |
| Lauren Speers | 4 | 2 | 0.41 |
| Maneesh Agrawala | 5 | 5192 | 333.08 |