A data-driven, hyper-realistic method for visualizing individual mental representations of faces Article Swipe
Daniel N. Albohn
,
Stefan Uddenberg
,
Alexander Todorov
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fpsyg.2022.997498
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3389/fpsyg.2022.997498
Research in person and face perception has broadly focused on group-level consensus that individuals hold when making judgments of others (e.g., “X type of face looks trustworthy”). However, a growing body of research demonstrates that individual variation is larger than shared, stimulus-level variation for many social trait judgments. Despite this insight, little research to date has focused on building and explaining individual models of face perception. Studies and methodologies that have examined individual models are limited in what visualizations they can reliably produce to either noisy and blurry or computer avatar representations. Methods that produce low-fidelity visual representations inhibit generalizability by being clearly computer manipulated and produced. In the present work, we introduce a novel paradigm to visualize individual models of face judgments by leveraging state-of-the-art computer vision methods. Our proposed method can produce a set of photorealistic face images that correspond to an individual's mental representation of a specific attribute across a variety of attribute intensities. We provide a proof-of-concept study which examines perceived trustworthiness/untrustworthiness and masculinity/femininity. We close with a discussion of future work to substantiate our proposed method.
Related Topics
Concepts
Generalizability theory
Perception
Psychology
Fidelity
Face perception
Set (abstract data type)
Avatar
Cognitive psychology
Variation (astronomy)
Computer science
Trait
Variety (cybernetics)
Artificial intelligence
Human–computer interaction
Programming language
Developmental psychology
Telecommunications
Neuroscience
Physics
Astrophysics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpsyg.2022.997498
- https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdf
- OA Status
- gold
- Cited By
- 13
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297541769
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4297541769Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fpsyg.2022.997498Digital Object Identifier
- Title
-
A data-driven, hyper-realistic method for visualizing individual mental representations of facesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-09-28Full publication date if available
- Authors
-
Daniel N. Albohn, Stefan Uddenberg, Alexander TodorovList of authors in order
- Landing page
-
https://doi.org/10.3389/fpsyg.2022.997498Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdfDirect OA link when available
- Concepts
-
Generalizability theory, Perception, Psychology, Fidelity, Face perception, Set (abstract data type), Avatar, Cognitive psychology, Variation (astronomy), Computer science, Trait, Variety (cybernetics), Artificial intelligence, Human–computer interaction, Programming language, Developmental psychology, Telecommunications, Neuroscience, Physics, AstrophysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 4, 2023: 2, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4297541769 |
|---|---|
| doi | https://doi.org/10.3389/fpsyg.2022.997498 |
| ids.doi | https://doi.org/10.3389/fpsyg.2022.997498 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/36248585 |
| ids.openalex | https://openalex.org/W4297541769 |
| fwci | 3.19791881 |
| type | article |
| title | A data-driven, hyper-realistic method for visualizing individual mental representations of faces |
| biblio.issue | |
| biblio.volume | 13 |
| biblio.last_page | 997498 |
| biblio.first_page | 997498 |
| topics[0].id | https://openalex.org/T11118 |
| topics[0].field.id | https://openalex.org/fields/32 |
| topics[0].field.display_name | Psychology |
| topics[0].score | 0.9973000288009644 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3205 |
| topics[0].subfield.display_name | Experimental and Cognitive Psychology |
| topics[0].display_name | Evolutionary Psychology and Human Behavior |
| topics[1].id | https://openalex.org/T11094 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.984000027179718 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Face Recognition and Perception |
| topics[2].id | https://openalex.org/T12650 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.9695000052452087 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Aesthetic Perception and Analysis |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C27158222 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7110258340835571 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5532422 |
| concepts[0].display_name | Generalizability theory |
| concepts[1].id | https://openalex.org/C26760741 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5909721851348877 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q160402 |
| concepts[1].display_name | Perception |
| concepts[2].id | https://openalex.org/C15744967 |
| concepts[2].level | 0 |
| concepts[2].score | 0.568073034286499 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[2].display_name | Psychology |
| concepts[3].id | https://openalex.org/C2776459999 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5071718692779541 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2119376 |
| concepts[3].display_name | Fidelity |
| concepts[4].id | https://openalex.org/C161657702 |
| concepts[4].level | 3 |
| concepts[4].score | 0.4988553524017334 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q529895 |
| concepts[4].display_name | Face perception |
| concepts[5].id | https://openalex.org/C177264268 |
| concepts[5].level | 2 |
| concepts[5].score | 0.48899948596954346 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[5].display_name | Set (abstract data type) |
| concepts[6].id | https://openalex.org/C2777365542 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4697207510471344 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q83090 |
| concepts[6].display_name | Avatar |
| concepts[7].id | https://openalex.org/C180747234 |
| concepts[7].level | 1 |
| concepts[7].score | 0.457987904548645 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q23373 |
| concepts[7].display_name | Cognitive psychology |
| concepts[8].id | https://openalex.org/C2778334786 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4510865807533264 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1586270 |
| concepts[8].display_name | Variation (astronomy) |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.4187275469303131 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C106934330 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4175938665866852 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1971873 |
| concepts[10].display_name | Trait |
| concepts[11].id | https://openalex.org/C136197465 |
| concepts[11].level | 2 |
| concepts[11].score | 0.4111418128013611 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q1729295 |
| concepts[11].display_name | Variety (cybernetics) |
| concepts[12].id | https://openalex.org/C154945302 |
| concepts[12].level | 1 |
| concepts[12].score | 0.38741418719291687 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[12].display_name | Artificial intelligence |
| concepts[13].id | https://openalex.org/C107457646 |
| concepts[13].level | 1 |
| concepts[13].score | 0.38430315256118774 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[13].display_name | Human–computer interaction |
| concepts[14].id | https://openalex.org/C199360897 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[14].display_name | Programming language |
| concepts[15].id | https://openalex.org/C138496976 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q175002 |
| concepts[15].display_name | Developmental psychology |
| concepts[16].id | https://openalex.org/C76155785 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[16].display_name | Telecommunications |
| concepts[17].id | https://openalex.org/C169760540 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[17].display_name | Neuroscience |
| concepts[18].id | https://openalex.org/C121332964 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[18].display_name | Physics |
| concepts[19].id | https://openalex.org/C44870925 |
| concepts[19].level | 1 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q37547 |
| concepts[19].display_name | Astrophysics |
| keywords[0].id | https://openalex.org/keywords/generalizability-theory |
| keywords[0].score | 0.7110258340835571 |
| keywords[0].display_name | Generalizability theory |
| keywords[1].id | https://openalex.org/keywords/perception |
| keywords[1].score | 0.5909721851348877 |
| keywords[1].display_name | Perception |
| keywords[2].id | https://openalex.org/keywords/psychology |
| keywords[2].score | 0.568073034286499 |
| keywords[2].display_name | Psychology |
| keywords[3].id | https://openalex.org/keywords/fidelity |
| keywords[3].score | 0.5071718692779541 |
| keywords[3].display_name | Fidelity |
| keywords[4].id | https://openalex.org/keywords/face-perception |
| keywords[4].score | 0.4988553524017334 |
| keywords[4].display_name | Face perception |
| keywords[5].id | https://openalex.org/keywords/set |
| keywords[5].score | 0.48899948596954346 |
| keywords[5].display_name | Set (abstract data type) |
| keywords[6].id | https://openalex.org/keywords/avatar |
| keywords[6].score | 0.4697207510471344 |
| keywords[6].display_name | Avatar |
| keywords[7].id | https://openalex.org/keywords/cognitive-psychology |
| keywords[7].score | 0.457987904548645 |
| keywords[7].display_name | Cognitive psychology |
| keywords[8].id | https://openalex.org/keywords/variation |
| keywords[8].score | 0.4510865807533264 |
| keywords[8].display_name | Variation (astronomy) |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.4187275469303131 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/trait |
| keywords[10].score | 0.4175938665866852 |
| keywords[10].display_name | Trait |
| keywords[11].id | https://openalex.org/keywords/variety |
| keywords[11].score | 0.4111418128013611 |
| keywords[11].display_name | Variety (cybernetics) |
| keywords[12].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[12].score | 0.38741418719291687 |
| keywords[12].display_name | Artificial intelligence |
| keywords[13].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[13].score | 0.38430315256118774 |
| keywords[13].display_name | Human–computer interaction |
| language | en |
| locations[0].id | doi:10.3389/fpsyg.2022.997498 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S9692511 |
| locations[0].source.issn | 1664-1078 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1664-1078 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Psychology |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Psychology |
| locations[0].landing_page_url | https://doi.org/10.3389/fpsyg.2022.997498 |
| locations[1].id | pmid:36248585 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| 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 | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Frontiers in psychology |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/36248585 |
| locations[2].id | pmh:oai:uchicago.tind.io:9143 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306402460 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Knowledge@UChicago (University of Chicago) |
| locations[2].source.host_organization | https://openalex.org/I40347166 |
| locations[2].source.host_organization_name | University of Chicago |
| locations[2].source.host_organization_lineage | https://openalex.org/I40347166 |
| locations[2].license | cc-by-nc-nd |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | http://knowledge.uchicago.edu/record/9143 |
| locations[2].landing_page_url | http://knowledge.uchicago.edu/record/9143 |
| locations[3].id | pmh:oai:doaj.org/article:40ce4c59c880447aa0affc0b0b5c6058 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | cc-by-sa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Frontiers in Psychology, Vol 13 (2022) |
| locations[3].landing_page_url | https://doaj.org/article/40ce4c59c880447aa0affc0b0b5c6058 |
| locations[4].id | pmh:oai:pubmedcentral.nih.gov:9554410 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S2764455111 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | PubMed Central |
| locations[4].source.host_organization | https://openalex.org/I1299303238 |
| locations[4].source.host_organization_name | National Institutes of Health |
| locations[4].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[4].license | other-oa |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Text |
| locations[4].license_id | https://openalex.org/licenses/other-oa |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | Front Psychol |
| locations[4].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/9554410 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5028470098 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-7508-8831 |
| authorships[0].author.display_name | Daniel N. Albohn |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I40347166 |
| authorships[0].affiliations[0].raw_affiliation_string | Booth School of Business, The University of Chicago, United States |
| authorships[0].institutions[0].id | https://openalex.org/I40347166 |
| authorships[0].institutions[0].ror | https://ror.org/024mw5h28 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I40347166 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Chicago |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Daniel N. Albohn |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Booth School of Business, The University of Chicago, United States |
| authorships[1].author.id | https://openalex.org/A5032708228 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2689-3906 |
| authorships[1].author.display_name | Stefan Uddenberg |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I40347166 |
| authorships[1].affiliations[0].raw_affiliation_string | Booth School of Business, The University of Chicago, United States |
| authorships[1].institutions[0].id | https://openalex.org/I40347166 |
| authorships[1].institutions[0].ror | https://ror.org/024mw5h28 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I40347166 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of Chicago |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Stefan Uddenberg |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Booth School of Business, The University of Chicago, United States |
| authorships[2].author.id | https://openalex.org/A5028626457 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1271-6113 |
| authorships[2].author.display_name | Alexander Todorov |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I40347166 |
| authorships[2].affiliations[0].raw_affiliation_string | Booth School of Business, The University of Chicago, United States |
| authorships[2].institutions[0].id | https://openalex.org/I40347166 |
| authorships[2].institutions[0].ror | https://ror.org/024mw5h28 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I40347166 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Chicago |
| authorships[2].author_position | last |
| authorships[2].raw_author_name | Alexander Todorov |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Booth School of Business, The University of Chicago, United States |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A data-driven, hyper-realistic method for visualizing individual mental representations of faces |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11118 |
| primary_topic.field.id | https://openalex.org/fields/32 |
| primary_topic.field.display_name | Psychology |
| primary_topic.score | 0.9973000288009644 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3205 |
| primary_topic.subfield.display_name | Experimental and Cognitive Psychology |
| primary_topic.display_name | Evolutionary Psychology and Human Behavior |
| related_works | https://openalex.org/W2118717649, https://openalex.org/W410723623, https://openalex.org/W2413243053, https://openalex.org/W3138471234, https://openalex.org/W2015341305, https://openalex.org/W4225593417, https://openalex.org/W2035068594, https://openalex.org/W2059783833, https://openalex.org/W2573498121, https://openalex.org/W2582929280 |
| cited_by_count | 13 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 5 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 2 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 2 |
| locations_count | 5 |
| best_oa_location.id | doi:10.3389/fpsyg.2022.997498 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S9692511 |
| best_oa_location.source.issn | 1664-1078 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1664-1078 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Psychology |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Psychology |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fpsyg.2022.997498 |
| primary_location.id | doi:10.3389/fpsyg.2022.997498 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S9692511 |
| primary_location.source.issn | 1664-1078 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1664-1078 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Psychology |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997498/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Psychology |
| primary_location.landing_page_url | https://doi.org/10.3389/fpsyg.2022.997498 |
| publication_date | 2022-09-28 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W3008831615, https://openalex.org/W3004324168, https://openalex.org/W2751194593, https://openalex.org/W3046999202, https://openalex.org/W2803980637, https://openalex.org/W2172073572, https://openalex.org/W2035994897, https://openalex.org/W2186574009, https://openalex.org/W2897985594, https://openalex.org/W2056987789, https://openalex.org/W2104390800, https://openalex.org/W2611965405, https://openalex.org/W2123821616, https://openalex.org/W2981682735, https://openalex.org/W3083854671, https://openalex.org/W2755257852, https://openalex.org/W2962770929, https://openalex.org/W3035574324, https://openalex.org/W2150283722, https://openalex.org/W3097873325, https://openalex.org/W2338804708, https://openalex.org/W2779041630, https://openalex.org/W1964981411, https://openalex.org/W4248372701, https://openalex.org/W1999184485, https://openalex.org/W2889039197, https://openalex.org/W2073351001, https://openalex.org/W1971687303, https://openalex.org/W4224222182, https://openalex.org/W2033419168, https://openalex.org/W3212516020, https://openalex.org/W2172212422, https://openalex.org/W2103366970, https://openalex.org/W3024113838, https://openalex.org/W2140051380, https://openalex.org/W2163765763, https://openalex.org/W6789144234, https://openalex.org/W2098958400, https://openalex.org/W2520929286, https://openalex.org/W2809558042, https://openalex.org/W3173241699, https://openalex.org/W2626640874, https://openalex.org/W3140422435, https://openalex.org/W3094954720, https://openalex.org/W4226348722, https://openalex.org/W4214907476 |
| referenced_works_count | 46 |
| abstract_inverted_index.a | 28, 113, 134, 148, 152, 159, 171 |
| abstract_inverted_index.In | 107 |
| abstract_inverted_index.We | 157, 168 |
| abstract_inverted_index.an | 143 |
| abstract_inverted_index.by | 100, 123 |
| abstract_inverted_index.in | 1, 76 |
| abstract_inverted_index.is | 37 |
| abstract_inverted_index.of | 18, 23, 31, 63, 120, 136, 147, 154, 173 |
| abstract_inverted_index.on | 9, 57 |
| abstract_inverted_index.or | 88 |
| abstract_inverted_index.to | 53, 83, 116, 142, 176 |
| abstract_inverted_index.we | 111 |
| abstract_inverted_index.Our | 129 |
| abstract_inverted_index.and | 3, 59, 67, 86, 105, 166 |
| abstract_inverted_index.are | 74 |
| abstract_inverted_index.can | 80, 132 |
| abstract_inverted_index.for | 43 |
| abstract_inverted_index.has | 6, 55 |
| abstract_inverted_index.our | 178 |
| abstract_inverted_index.set | 135 |
| abstract_inverted_index.the | 108 |
| abstract_inverted_index.body | 30 |
| abstract_inverted_index.date | 54 |
| abstract_inverted_index.face | 4, 24, 64, 121, 138 |
| abstract_inverted_index.have | 70 |
| abstract_inverted_index.hold | 14 |
| abstract_inverted_index.many | 44 |
| abstract_inverted_index.than | 39 |
| abstract_inverted_index.that | 12, 34, 69, 93, 140 |
| abstract_inverted_index.they | 79 |
| abstract_inverted_index.this | 49 |
| abstract_inverted_index.type | 22 |
| abstract_inverted_index.what | 77 |
| abstract_inverted_index.when | 15 |
| abstract_inverted_index.with | 170 |
| abstract_inverted_index.work | 175 |
| abstract_inverted_index.“X | 21 |
| abstract_inverted_index.being | 101 |
| abstract_inverted_index.close | 169 |
| abstract_inverted_index.looks | 25 |
| abstract_inverted_index.noisy | 85 |
| abstract_inverted_index.novel | 114 |
| abstract_inverted_index.study | 161 |
| abstract_inverted_index.trait | 46 |
| abstract_inverted_index.which | 162 |
| abstract_inverted_index.work, | 110 |
| abstract_inverted_index.(e.g., | 20 |
| abstract_inverted_index.across | 151 |
| abstract_inverted_index.avatar | 90 |
| abstract_inverted_index.blurry | 87 |
| abstract_inverted_index.either | 84 |
| abstract_inverted_index.future | 174 |
| abstract_inverted_index.images | 139 |
| abstract_inverted_index.larger | 38 |
| abstract_inverted_index.little | 51 |
| abstract_inverted_index.making | 16 |
| abstract_inverted_index.mental | 145 |
| abstract_inverted_index.method | 131 |
| abstract_inverted_index.models | 62, 73, 119 |
| abstract_inverted_index.others | 19 |
| abstract_inverted_index.person | 2 |
| abstract_inverted_index.social | 45 |
| abstract_inverted_index.vision | 127 |
| abstract_inverted_index.visual | 96 |
| abstract_inverted_index.Despite | 48 |
| abstract_inverted_index.Methods | 92 |
| abstract_inverted_index.Studies | 66 |
| abstract_inverted_index.broadly | 7 |
| abstract_inverted_index.clearly | 102 |
| abstract_inverted_index.focused | 8, 56 |
| abstract_inverted_index.growing | 29 |
| abstract_inverted_index.inhibit | 98 |
| abstract_inverted_index.limited | 75 |
| abstract_inverted_index.method. | 180 |
| abstract_inverted_index.present | 109 |
| abstract_inverted_index.produce | 82, 94, 133 |
| abstract_inverted_index.provide | 158 |
| abstract_inverted_index.shared, | 40 |
| abstract_inverted_index.variety | 153 |
| abstract_inverted_index.However, | 27 |
| abstract_inverted_index.Research | 0 |
| abstract_inverted_index.building | 58 |
| abstract_inverted_index.computer | 89, 103, 126 |
| abstract_inverted_index.examined | 71 |
| abstract_inverted_index.examines | 163 |
| abstract_inverted_index.insight, | 50 |
| abstract_inverted_index.methods. | 128 |
| abstract_inverted_index.paradigm | 115 |
| abstract_inverted_index.proposed | 130, 179 |
| abstract_inverted_index.reliably | 81 |
| abstract_inverted_index.research | 32, 52 |
| abstract_inverted_index.specific | 149 |
| abstract_inverted_index.attribute | 150, 155 |
| abstract_inverted_index.consensus | 11 |
| abstract_inverted_index.introduce | 112 |
| abstract_inverted_index.judgments | 17, 122 |
| abstract_inverted_index.perceived | 164 |
| abstract_inverted_index.produced. | 106 |
| abstract_inverted_index.variation | 36, 42 |
| abstract_inverted_index.visualize | 117 |
| abstract_inverted_index.correspond | 141 |
| abstract_inverted_index.discussion | 172 |
| abstract_inverted_index.explaining | 60 |
| abstract_inverted_index.individual | 35, 61, 72, 118 |
| abstract_inverted_index.judgments. | 47 |
| abstract_inverted_index.leveraging | 124 |
| abstract_inverted_index.perception | 5 |
| abstract_inverted_index.group-level | 10 |
| abstract_inverted_index.individuals | 13 |
| abstract_inverted_index.manipulated | 104 |
| abstract_inverted_index.perception. | 65 |
| abstract_inverted_index.demonstrates | 33 |
| abstract_inverted_index.individual's | 144 |
| abstract_inverted_index.intensities. | 156 |
| abstract_inverted_index.low-fidelity | 95 |
| abstract_inverted_index.substantiate | 177 |
| abstract_inverted_index.methodologies | 68 |
| abstract_inverted_index.photorealistic | 137 |
| abstract_inverted_index.representation | 146 |
| abstract_inverted_index.stimulus-level | 41 |
| abstract_inverted_index.visualizations | 78 |
| abstract_inverted_index.representations | 97 |
| abstract_inverted_index.generalizability | 99 |
| abstract_inverted_index.proof-of-concept | 160 |
| abstract_inverted_index.representations. | 91 |
| abstract_inverted_index.state-of-the-art | 125 |
| abstract_inverted_index.trustworthy”). | 26 |
| abstract_inverted_index.masculinity/femininity. | 167 |
| abstract_inverted_index.trustworthiness/untrustworthiness | 165 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.89369159 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |