Abstract
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 reexpression 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. ACM Classification Keywords H.5.m. Information Interfaces and Presentation (e.g. HCI): Miscellaneous.
| Original language | English (US) |
|---|---|
| Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Subtitle of host publication | Engage with CHI |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9781450356206, 9781450356213 |
| DOIs | |
| State | Published - Apr 20 2018 |
| Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: Apr 21 2018 → Apr 26 2018 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
|---|---|
| Volume | 2018-April |
Other
| Other | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 |
|---|---|
| Country | Canada |
| City | Montreal |
| Period | 4/21/18 → 4/26/18 |
Fingerprint
Keywords
- Analogy
- Measurement re-expression
- Proportional analogy
- Reunitization
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
- Software
Cite this
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Improving comprehension of measurements using concrete re-expression strategies. / Hullman, Jessica Ruth; Kim, Yea Seul; Nguyen, Francis; Speers, Lauren; Agrawala, Maneesh.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Improving comprehension of measurements using concrete re-expression strategies
AU - Hullman, Jessica Ruth
AU - Kim, Yea Seul
AU - Nguyen, Francis
AU - Speers, Lauren
AU - Agrawala, Maneesh
PY - 2018/4/20
Y1 - 2018/4/20
N2 - 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 reexpression 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. ACM Classification Keywords H.5.m. Information Interfaces and Presentation (e.g. HCI): Miscellaneous.
AB - 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 reexpression 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. ACM Classification Keywords H.5.m. Information Interfaces and Presentation (e.g. HCI): Miscellaneous.
KW - Analogy
KW - Measurement re-expression
KW - Proportional analogy
KW - Reunitization
UR - http://www.scopus.com/inward/record.url?scp=85046940219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046940219&partnerID=8YFLogxK
U2 - 10.1145/3173574.3173608
DO - 10.1145/3173574.3173608
M3 - Conference contribution
AN - SCOPUS:85046940219
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
ER -