Swipe versus multiple view: a comprehensive analysis using eye-tracking to evaluate user interaction with web maps Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1080/15230406.2021.2015721
The comparison of multiple maps is a common fundamental process used by geographers to explore the world. The most frequently applied interactive methods for the comparison of maps are multiple view and swipe. Swipe allows the user to interactively drag and overlap two different maps. Multiple view is based on the simultaneous side-by-side display of several maps. The current paper presents an analysis of the use of these two map comparison techniques in an Esri environment using an eye-tracking study which involved 25 participants. The participants completed two different tasks which compared land suitability using two or four maps. Based on an analysis of the recorded data, we compared the effectiveness of these methods through the accuracy of answers, the trial duration, and eye-tracking metrics of the individual compositional elements of the interactive maps. Cognitive processing was investigated through the analysis of dynamic areas of interest. This labor-intensive analysis yielded results which could be visualized using sequence charts. Based on these analyses, we concluded that the participants worked more effectively with multiple views, especially in comparing four maps. Working with swipe in the Esri environment is non-intuitive in comparisons of more than two maps. Many participants instead preferred simple toggling between layers instead of interactive swipe comparisons. However, when swipe was used to compare two maps, the method was more efficient, especially during cognitively demanding tasks.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/15230406.2021.2015721
- OA Status
- green
- Cited By
- 11
- References
- 43
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206914563
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4206914563Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1080/15230406.2021.2015721Digital Object Identifier
- Title
-
Swipe versus multiple view: a comprehensive analysis using eye-tracking to evaluate user interaction with web mapsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-25Full publication date if available
- Authors
-
Stanislav Popelka, Jaroslav Burian, Markéta BeitlováList of authors in order
- Landing page
-
https://doi.org/10.1080/15230406.2021.2015721Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://figshare.com/articles/journal_contribution/Swipe_versus_multiple_view_a_comprehensive_analysis_using_eye-tracking_to_evaluate_user_interaction_with_web_maps/19103157Direct OA link when available
- Concepts
-
SwIPe, Computer science, Eye tracking, Process (computing), Visualization, Human–computer interaction, Artificial intelligence, Computer graphics (images), Computer vision, Operating system, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 5, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
43Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4206914563 |
|---|---|
| doi | https://doi.org/10.1080/15230406.2021.2015721 |
| ids.doi | https://doi.org/10.1080/15230406.2021.2015721 |
| ids.openalex | https://openalex.org/W4206914563 |
| fwci | 12.03052332 |
| type | article |
| title | Swipe versus multiple view: a comprehensive analysis using eye-tracking to evaluate user interaction with web maps |
| biblio.issue | 3 |
| biblio.volume | 49 |
| biblio.last_page | 270 |
| biblio.first_page | 252 |
| topics[0].id | https://openalex.org/T10757 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9994000196456909 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3305 |
| topics[0].subfield.display_name | Geography, Planning and Development |
| topics[0].display_name | Geographic Information Systems Studies |
| topics[1].id | https://openalex.org/T10799 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.968999981880188 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1707 |
| topics[1].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[1].display_name | Data Visualization and Analytics |
| topics[2].id | https://openalex.org/T11106 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9645000100135803 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1711 |
| topics[2].subfield.display_name | Signal Processing |
| topics[2].display_name | Data Management and Algorithms |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2779623668 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9844698905944824 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7652842 |
| concepts[0].display_name | SwIPe |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7490242719650269 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C56461940 |
| concepts[2].level | 2 |
| concepts[2].score | 0.49440741539001465 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q970687 |
| concepts[2].display_name | Eye tracking |
| concepts[3].id | https://openalex.org/C98045186 |
| concepts[3].level | 2 |
| concepts[3].score | 0.45545831322669983 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q205663 |
| concepts[3].display_name | Process (computing) |
| concepts[4].id | https://openalex.org/C36464697 |
| concepts[4].level | 2 |
| concepts[4].score | 0.44569939374923706 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[4].display_name | Visualization |
| concepts[5].id | https://openalex.org/C107457646 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4176226258277893 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[5].display_name | Human–computer interaction |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.3900188207626343 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C121684516 |
| concepts[7].level | 1 |
| concepts[7].score | 0.37153780460357666 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7600677 |
| concepts[7].display_name | Computer graphics (images) |
| concepts[8].id | https://openalex.org/C31972630 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3657418191432953 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[8].display_name | Computer vision |
| concepts[9].id | https://openalex.org/C111919701 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[9].display_name | Operating system |
| concepts[10].id | https://openalex.org/C31258907 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[10].display_name | Computer network |
| keywords[0].id | https://openalex.org/keywords/swipe |
| keywords[0].score | 0.9844698905944824 |
| keywords[0].display_name | SwIPe |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7490242719650269 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/eye-tracking |
| keywords[2].score | 0.49440741539001465 |
| keywords[2].display_name | Eye tracking |
| keywords[3].id | https://openalex.org/keywords/process |
| keywords[3].score | 0.45545831322669983 |
| keywords[3].display_name | Process (computing) |
| keywords[4].id | https://openalex.org/keywords/visualization |
| keywords[4].score | 0.44569939374923706 |
| keywords[4].display_name | Visualization |
| keywords[5].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[5].score | 0.4176226258277893 |
| keywords[5].display_name | Human–computer interaction |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.3900188207626343 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/computer-graphics |
| keywords[7].score | 0.37153780460357666 |
| keywords[7].display_name | Computer graphics (images) |
| keywords[8].id | https://openalex.org/keywords/computer-vision |
| keywords[8].score | 0.3657418191432953 |
| keywords[8].display_name | Computer vision |
| language | en |
| locations[0].id | doi:10.1080/15230406.2021.2015721 |
| locations[0].is_oa | False |
| locations[0].source.id | https://openalex.org/S189706386 |
| locations[0].source.issn | 1523-0406, 1545-0465 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 1523-0406 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Cartography and Geographic Information Science |
| locations[0].source.host_organization | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_name | Taylor & Francis |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320547 |
| locations[0].source.host_organization_lineage_names | Taylor & Francis |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Cartography and Geographic Information Science |
| locations[0].landing_page_url | https://doi.org/10.1080/15230406.2021.2015721 |
| locations[1].id | pmh:oai:figshare.com:article/19103157 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400572 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | OPAL (Open@LaTrobe) (La Trobe University) |
| locations[1].source.host_organization | https://openalex.org/I196829312 |
| locations[1].source.host_organization_name | La Trobe University |
| locations[1].source.host_organization_lineage | https://openalex.org/I196829312 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://figshare.com/articles/journal_contribution/Swipe_versus_multiple_view_a_comprehensive_analysis_using_eye-tracking_to_evaluate_user_interaction_with_web_maps/19103157 |
| locations[2].id | doi:10.6084/m9.figshare.19103157.v1 |
| locations[2].is_oa | True |
| locations[2].source | |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article-journal |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.6084/m9.figshare.19103157.v1 |
| indexed_in | crossref, datacite |
| authorships[0].author.id | https://openalex.org/A5055629264 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2127-2614 |
| authorships[0].author.display_name | Stanislav Popelka |
| authorships[0].countries | CZ |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I70703428 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| authorships[0].institutions[0].id | https://openalex.org/I70703428 |
| authorships[0].institutions[0].ror | https://ror.org/04qxnmv42 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I70703428 |
| authorships[0].institutions[0].country_code | CZ |
| authorships[0].institutions[0].display_name | Palacký University Olomouc |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Stanislav Popelka |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| authorships[1].author.id | https://openalex.org/A5059196385 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-0729-9757 |
| authorships[1].author.display_name | Jaroslav Burian |
| authorships[1].countries | CZ |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I70703428 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| authorships[1].institutions[0].id | https://openalex.org/I70703428 |
| authorships[1].institutions[0].ror | https://ror.org/04qxnmv42 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I70703428 |
| authorships[1].institutions[0].country_code | CZ |
| authorships[1].institutions[0].display_name | Palacký University Olomouc |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jaroslav Burian |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| authorships[2].author.id | https://openalex.org/A5077265413 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3935-5824 |
| authorships[2].author.display_name | Markéta Beitlová |
| authorships[2].countries | CZ |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I70703428 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| authorships[2].institutions[0].id | https://openalex.org/I70703428 |
| authorships[2].institutions[0].ror | https://ror.org/04qxnmv42 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I70703428 |
| authorships[2].institutions[0].country_code | CZ |
| authorships[2].institutions[0].display_name | Palacký University Olomouc |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Marketa Beitlova |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Geoinformatics, Palacký University in Olomouc, Czech Republic |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://figshare.com/articles/journal_contribution/Swipe_versus_multiple_view_a_comprehensive_analysis_using_eye-tracking_to_evaluate_user_interaction_with_web_maps/19103157 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Swipe versus multiple view: a comprehensive analysis using eye-tracking to evaluate user interaction with web maps |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10757 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9994000196456909 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3305 |
| primary_topic.subfield.display_name | Geography, Planning and Development |
| primary_topic.display_name | Geographic Information Systems Studies |
| related_works | https://openalex.org/W2981907288, https://openalex.org/W2043414197, https://openalex.org/W2068959240, https://openalex.org/W2183271128, https://openalex.org/W2152992233, https://openalex.org/W1589443630, https://openalex.org/W2043139822, https://openalex.org/W2613004439, https://openalex.org/W2769824675, https://openalex.org/W2789190802 |
| cited_by_count | 11 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 5 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 2 |
| locations_count | 3 |
| best_oa_location.id | pmh:oai:figshare.com:article/19103157 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400572 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | OPAL (Open@LaTrobe) (La Trobe University) |
| best_oa_location.source.host_organization | https://openalex.org/I196829312 |
| best_oa_location.source.host_organization_name | La Trobe University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I196829312 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://figshare.com/articles/journal_contribution/Swipe_versus_multiple_view_a_comprehensive_analysis_using_eye-tracking_to_evaluate_user_interaction_with_web_maps/19103157 |
| primary_location.id | doi:10.1080/15230406.2021.2015721 |
| primary_location.is_oa | False |
| primary_location.source.id | https://openalex.org/S189706386 |
| primary_location.source.issn | 1523-0406, 1545-0465 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 1523-0406 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Cartography and Geographic Information Science |
| primary_location.source.host_organization | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_name | Taylor & Francis |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320547 |
| primary_location.source.host_organization_lineage_names | Taylor & Francis |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Cartography and Geographic Information Science |
| primary_location.landing_page_url | https://doi.org/10.1080/15230406.2021.2015721 |
| publication_date | 2022-01-25 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2019966888, https://openalex.org/W3180571914, https://openalex.org/W2005038205, https://openalex.org/W2441943915, https://openalex.org/W2297024043, https://openalex.org/W2884530305, https://openalex.org/W3009635126, https://openalex.org/W2071221935, https://openalex.org/W1998661260, https://openalex.org/W3030436636, https://openalex.org/W2087484885, https://openalex.org/W2020106118, https://openalex.org/W2751305043, https://openalex.org/W1578497955, https://openalex.org/W2043657629, https://openalex.org/W2068743951, https://openalex.org/W2002246896, https://openalex.org/W2167885413, https://openalex.org/W2771245298, https://openalex.org/W1996178458, https://openalex.org/W2024053323, https://openalex.org/W2312909132, https://openalex.org/W3022079186, https://openalex.org/W2023199012, https://openalex.org/W2320805740, https://openalex.org/W2156608989, https://openalex.org/W2618867910, https://openalex.org/W2056163790, https://openalex.org/W564352722, https://openalex.org/W1965305672, https://openalex.org/W3155298785, https://openalex.org/W2904950269, https://openalex.org/W2148269024, https://openalex.org/W2082317465, https://openalex.org/W2115921497, https://openalex.org/W2903868244, https://openalex.org/W2161133721, https://openalex.org/W4385400191, https://openalex.org/W2102804490, https://openalex.org/W4206628879, https://openalex.org/W4247590305, https://openalex.org/W4239720002, https://openalex.org/W4241488553 |
| referenced_works_count | 43 |
| abstract_inverted_index.a | 6 |
| abstract_inverted_index.25 | 82 |
| abstract_inverted_index.an | 61, 73, 77, 101 |
| abstract_inverted_index.be | 153 |
| abstract_inverted_index.by | 11 |
| abstract_inverted_index.in | 72, 174, 181, 187 |
| abstract_inverted_index.is | 5, 47, 185 |
| abstract_inverted_index.of | 2, 26, 54, 63, 66, 103, 111, 117, 125, 130, 141, 144, 189, 203 |
| abstract_inverted_index.on | 49, 100, 159 |
| abstract_inverted_index.or | 96 |
| abstract_inverted_index.to | 13, 37, 212 |
| abstract_inverted_index.we | 107, 162 |
| abstract_inverted_index.The | 0, 17, 57, 84 |
| abstract_inverted_index.and | 31, 40, 122 |
| abstract_inverted_index.are | 28 |
| abstract_inverted_index.for | 23 |
| abstract_inverted_index.map | 69 |
| abstract_inverted_index.the | 15, 24, 35, 50, 64, 104, 109, 115, 119, 126, 131, 139, 165, 182, 216 |
| abstract_inverted_index.two | 42, 68, 87, 95, 192, 214 |
| abstract_inverted_index.use | 65 |
| abstract_inverted_index.was | 136, 210, 218 |
| abstract_inverted_index.Esri | 74, 183 |
| abstract_inverted_index.Many | 194 |
| abstract_inverted_index.This | 146 |
| abstract_inverted_index.drag | 39 |
| abstract_inverted_index.four | 97, 176 |
| abstract_inverted_index.land | 92 |
| abstract_inverted_index.maps | 4, 27 |
| abstract_inverted_index.more | 168, 190, 219 |
| abstract_inverted_index.most | 18 |
| abstract_inverted_index.than | 191 |
| abstract_inverted_index.that | 164 |
| abstract_inverted_index.used | 10, 211 |
| abstract_inverted_index.user | 36 |
| abstract_inverted_index.view | 30, 46 |
| abstract_inverted_index.when | 208 |
| abstract_inverted_index.with | 170, 179 |
| abstract_inverted_index.Based | 99, 158 |
| abstract_inverted_index.Swipe | 33 |
| abstract_inverted_index.areas | 143 |
| abstract_inverted_index.based | 48 |
| abstract_inverted_index.could | 152 |
| abstract_inverted_index.data, | 106 |
| abstract_inverted_index.maps, | 215 |
| abstract_inverted_index.maps. | 44, 56, 98, 133, 177, 193 |
| abstract_inverted_index.paper | 59 |
| abstract_inverted_index.study | 79 |
| abstract_inverted_index.swipe | 180, 205, 209 |
| abstract_inverted_index.tasks | 89 |
| abstract_inverted_index.these | 67, 112, 160 |
| abstract_inverted_index.trial | 120 |
| abstract_inverted_index.using | 76, 94, 155 |
| abstract_inverted_index.which | 80, 90, 151 |
| abstract_inverted_index.allows | 34 |
| abstract_inverted_index.common | 7 |
| abstract_inverted_index.during | 222 |
| abstract_inverted_index.layers | 201 |
| abstract_inverted_index.method | 217 |
| abstract_inverted_index.simple | 198 |
| abstract_inverted_index.swipe. | 32 |
| abstract_inverted_index.tasks. | 225 |
| abstract_inverted_index.views, | 172 |
| abstract_inverted_index.worked | 167 |
| abstract_inverted_index.world. | 16 |
| abstract_inverted_index.Working | 178 |
| abstract_inverted_index.applied | 20 |
| abstract_inverted_index.between | 200 |
| abstract_inverted_index.charts. | 157 |
| abstract_inverted_index.compare | 213 |
| abstract_inverted_index.current | 58 |
| abstract_inverted_index.display | 53 |
| abstract_inverted_index.dynamic | 142 |
| abstract_inverted_index.explore | 14 |
| abstract_inverted_index.instead | 196, 202 |
| abstract_inverted_index.methods | 22, 113 |
| abstract_inverted_index.metrics | 124 |
| abstract_inverted_index.overlap | 41 |
| abstract_inverted_index.process | 9 |
| abstract_inverted_index.results | 150 |
| abstract_inverted_index.several | 55 |
| abstract_inverted_index.through | 114, 138 |
| abstract_inverted_index.yielded | 149 |
| abstract_inverted_index.However, | 207 |
| abstract_inverted_index.Multiple | 45 |
| abstract_inverted_index.accuracy | 116 |
| abstract_inverted_index.analysis | 62, 102, 140, 148 |
| abstract_inverted_index.answers, | 118 |
| abstract_inverted_index.compared | 91, 108 |
| abstract_inverted_index.elements | 129 |
| abstract_inverted_index.involved | 81 |
| abstract_inverted_index.multiple | 3, 29, 171 |
| abstract_inverted_index.presents | 60 |
| abstract_inverted_index.recorded | 105 |
| abstract_inverted_index.sequence | 156 |
| abstract_inverted_index.toggling | 199 |
| abstract_inverted_index.Cognitive | 134 |
| abstract_inverted_index.analyses, | 161 |
| abstract_inverted_index.comparing | 175 |
| abstract_inverted_index.completed | 86 |
| abstract_inverted_index.concluded | 163 |
| abstract_inverted_index.demanding | 224 |
| abstract_inverted_index.different | 43, 88 |
| abstract_inverted_index.duration, | 121 |
| abstract_inverted_index.interest. | 145 |
| abstract_inverted_index.preferred | 197 |
| abstract_inverted_index.comparison | 1, 25, 70 |
| abstract_inverted_index.efficient, | 220 |
| abstract_inverted_index.especially | 173, 221 |
| abstract_inverted_index.frequently | 19 |
| abstract_inverted_index.individual | 127 |
| abstract_inverted_index.processing | 135 |
| abstract_inverted_index.techniques | 71 |
| abstract_inverted_index.visualized | 154 |
| abstract_inverted_index.cognitively | 223 |
| abstract_inverted_index.comparisons | 188 |
| abstract_inverted_index.effectively | 169 |
| abstract_inverted_index.environment | 75, 184 |
| abstract_inverted_index.fundamental | 8 |
| abstract_inverted_index.geographers | 12 |
| abstract_inverted_index.interactive | 21, 132, 204 |
| abstract_inverted_index.suitability | 93 |
| abstract_inverted_index.comparisons. | 206 |
| abstract_inverted_index.eye-tracking | 78, 123 |
| abstract_inverted_index.investigated | 137 |
| abstract_inverted_index.participants | 85, 166, 195 |
| abstract_inverted_index.side-by-side | 52 |
| abstract_inverted_index.simultaneous | 51 |
| abstract_inverted_index.compositional | 128 |
| abstract_inverted_index.effectiveness | 110 |
| abstract_inverted_index.interactively | 38 |
| abstract_inverted_index.non-intuitive | 186 |
| abstract_inverted_index.participants. | 83 |
| abstract_inverted_index.labor-intensive | 147 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5059196385 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I70703428 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/8 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Decent work and economic growth |
| citation_normalized_percentile.value | 0.97288172 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |