Scim: Intelligent Skimming Support for Scientific Papers Article Swipe
Raymond Fok
,
Hita Kambhamettu
,
Luca Soldaini
,
Jonathan Bragg
,
Kyle Lo
,
Andrew Head
,
Marti A. Hearst
,
Daniel S. Weld
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2205.04561
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2205.04561
Researchers need to keep up with immense literatures, though it is time-consuming and difficult to do so. In this paper, we investigate the role that intelligent interfaces can play in helping researchers skim papers, that is, rapidly reviewing a paper to attain a cursory understanding of its contents. After conducting formative interviews and a design probe, we suggest that skimming aids should aim to thread the needle of highlighting content that is simultaneously diverse, evenly-distributed, and important. We introduce Scim, a novel intelligent skimming interface that reifies this aim, designed to support the skimming process by highlighting salient paper contents to direct a skimmer's focus. Key to the design is that the highlights are faceted by content type, evenly-distributed across a paper, with a density configurable by readers at both the global and local level. We evaluate Scim with an in-lab usability study and deployment study, revealing how skimming aids can support readers throughout the skimming experience and yielding design considerations and tensions for the design of future intelligent skimming tools.
Related Topics
Concepts
Software deployment
Computer science
Usability
Key (lock)
Formative assessment
Salient
Interfacing
Interface (matter)
Human–computer interaction
Data science
Software engineering
Sociology
Artificial intelligence
Computer security
Bubble
Pedagogy
Computer hardware
Maximum bubble pressure method
Parallel computing
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2205.04561
- https://arxiv.org/pdf/2205.04561
- OA Status
- green
- Cited By
- 6
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280564185
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280564185Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2205.04561Digital Object Identifier
- Title
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Scim: Intelligent Skimming Support for Scientific PapersWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-05-09Full publication date if available
- Authors
-
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Andrew Head, Marti A. Hearst, Daniel S. WeldList of authors in order
- Landing page
-
https://arxiv.org/abs/2205.04561Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2205.04561Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2205.04561Direct OA link when available
- Concepts
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Software deployment, Computer science, Usability, Key (lock), Formative assessment, Salient, Interfacing, Interface (matter), Human–computer interaction, Data science, Software engineering, Sociology, Artificial intelligence, Computer security, Bubble, Pedagogy, Computer hardware, Maximum bubble pressure method, Parallel computingTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 5, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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54Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.immense | 6 |
| abstract_inverted_index.papers, | 33 |
| abstract_inverted_index.process | 94 |
| abstract_inverted_index.rapidly | 36 |
| abstract_inverted_index.readers | 127, 152 |
| abstract_inverted_index.reifies | 86 |
| abstract_inverted_index.salient | 97 |
| abstract_inverted_index.suggest | 57 |
| abstract_inverted_index.support | 91, 151 |
| abstract_inverted_index.contents | 99 |
| abstract_inverted_index.designed | 89 |
| abstract_inverted_index.diverse, | 73 |
| abstract_inverted_index.evaluate | 136 |
| abstract_inverted_index.skimming | 59, 83, 93, 148, 155, 169 |
| abstract_inverted_index.tensions | 162 |
| abstract_inverted_index.yielding | 158 |
| abstract_inverted_index.contents. | 47 |
| abstract_inverted_index.difficult | 13 |
| abstract_inverted_index.formative | 50 |
| abstract_inverted_index.interface | 84 |
| abstract_inverted_index.introduce | 78 |
| abstract_inverted_index.revealing | 146 |
| abstract_inverted_index.reviewing | 37 |
| abstract_inverted_index.skimmer's | 103 |
| abstract_inverted_index.usability | 141 |
| abstract_inverted_index.conducting | 49 |
| abstract_inverted_index.deployment | 144 |
| abstract_inverted_index.experience | 156 |
| abstract_inverted_index.highlights | 112 |
| abstract_inverted_index.important. | 76 |
| abstract_inverted_index.interfaces | 26 |
| abstract_inverted_index.interviews | 51 |
| abstract_inverted_index.throughout | 153 |
| abstract_inverted_index.Researchers | 0 |
| abstract_inverted_index.intelligent | 25, 82, 168 |
| abstract_inverted_index.investigate | 21 |
| abstract_inverted_index.researchers | 31 |
| abstract_inverted_index.configurable | 125 |
| abstract_inverted_index.highlighting | 68, 96 |
| abstract_inverted_index.literatures, | 7 |
| abstract_inverted_index.understanding | 44 |
| abstract_inverted_index.considerations | 160 |
| abstract_inverted_index.simultaneously | 72 |
| abstract_inverted_index.time-consuming | 11 |
| abstract_inverted_index.evenly-distributed | 118 |
| abstract_inverted_index.evenly-distributed, | 74 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile.value | 0.83112367 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |