{"id":"https://openalex.org/W4309618062","doi":"https://doi.org/10.1145/3555593","title":"Are We Healthier Together? Two Strategies for Supporting Macronutrient Assessment Skills and How the Crowd Can Help (or Not)","display_name":"Are We Healthier Together? Two Strategies for Supporting Macronutrient Assessment Skills and How the Crowd Can Help (or Not)","publication_year":2022,"publication_date":"2022-11-07","ids":{"openalex":"https://openalex.org/W4309618062","doi":"https://doi.org/10.1145/3555593"},"language":"en","primary_location":{"id":"doi:10.1145/3555593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555593","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029261896","display_name":"Sarah Harmon","orcid":"https://orcid.org/0000-0003-0209-3055"},"institutions":[{"id":"https://openalex.org/I135474949","display_name":"Bowdoin College","ror":"https://ror.org/03gh96r95","country_code":"US","type":"education","lineage":["https://openalex.org/I135474949"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah M. Harmon","raw_affiliation_strings":["Bowdoin College, Brunswick, ME, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bowdoin College, Brunswick, ME, USA","institution_ids":["https://openalex.org/I135474949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085111023","display_name":"Elizabeth Heitkemper","orcid":"https://orcid.org/0000-0001-9537-5195"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth M. Heitkemper","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015187091","display_name":"Lena Mamykina","orcid":"https://orcid.org/0000-0001-5203-274X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lena Mamykina","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065476985","display_name":"Maria L. Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I883357","display_name":"Fashion Institute of Technology","ror":"https://ror.org/03jwrn541","country_code":"US","type":"education","lineage":["https://openalex.org/I883357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria L. Hwang","raw_affiliation_strings":["Fashion Institute of Technology, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fashion Institute of Technology, New York, NY, USA","institution_ids":["https://openalex.org/I883357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3936,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67254326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"6","issue":"CSCW2","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.583052396774292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41412580013275146},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36922645568847656},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.3598058223724365},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1825336515903473},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08892160654067993},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.07909131050109863}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.583052396774292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41412580013275146},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36922645568847656},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.3598058223724365},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1825336515903473},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08892160654067993},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07909131050109863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3555593","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3555593","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1050379706","https://openalex.org/W1918915976","https://openalex.org/W1972626837","https://openalex.org/W1977271358","https://openalex.org/W1982918230","https://openalex.org/W1992417974","https://openalex.org/W1995330098","https://openalex.org/W1996752302","https://openalex.org/W2001488574","https://openalex.org/W2007121115","https://openalex.org/W2008347190","https://openalex.org/W2046954222","https://openalex.org/W2047228844","https://openalex.org/W2053265988","https://openalex.org/W2084832279","https://openalex.org/W2091013587","https://openalex.org/W2095082311","https://openalex.org/W2096761622","https://openalex.org/W2103239268","https://openalex.org/W2103692393","https://openalex.org/W2106350493","https://openalex.org/W2109257383","https://openalex.org/W2111298664","https://openalex.org/W2119152669","https://openalex.org/W2120007114","https://openalex.org/W2121327289","https://openalex.org/W2126199804","https://openalex.org/W2132664917","https://openalex.org/W2135637978","https://openalex.org/W2136071375","https://openalex.org/W2153577027","https://openalex.org/W2156795022","https://openalex.org/W2156949376","https://openalex.org/W2158631909","https://openalex.org/W2190270960","https://openalex.org/W2206370378","https://openalex.org/W2262972580","https://openalex.org/W2276076611","https://openalex.org/W2291227510","https://openalex.org/W2354628843","https://openalex.org/W2398727443","https://openalex.org/W2407419250","https://openalex.org/W2481356228","https://openalex.org/W2530389408","https://openalex.org/W2531603677","https://openalex.org/W2599032673","https://openalex.org/W2610670510","https://openalex.org/W2611304665","https://openalex.org/W2611339414","https://openalex.org/W2700827265","https://openalex.org/W2754141758","https://openalex.org/W2790842466","https://openalex.org/W2799140444","https://openalex.org/W2811107472","https://openalex.org/W2898349875","https://openalex.org/W2941493290","https://openalex.org/W2942132058","https://openalex.org/W2999399086","https://openalex.org/W2999697822","https://openalex.org/W3003516134","https://openalex.org/W3125255177","https://openalex.org/W3153083315","https://openalex.org/W3159820765","https://openalex.org/W3160331717","https://openalex.org/W3162674315","https://openalex.org/W4229998411","https://openalex.org/W4289765558"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Learning":[0],"macronutrient":[1,29,52,61],"assessment":[2,30,62],"skills":[3,63],"can":[4],"support":[5,86],"improved":[6],"health":[7],"outcomes":[8],"and":[9,65,67,100],"overall":[10],"wellbeing.":[11],"We":[12,32],"conducted":[13],"two":[14,57],"Mechanical":[15],"Turk":[16],"studies":[17,74],"to":[18,48,85,97],"investigate":[19],"how":[20],"users":[21,44,91],"might":[22],"benefit":[23,94],"from":[24,72,95],"the":[25,36,39,78,106],"crowd's":[26],"input":[27],"in":[28],"education.":[31],"first":[33],"determined":[34],"whether":[35],"wisdom":[37],"of":[38,59,89],"crowd":[40,79],"alone":[41,80],"would":[42],"provide":[43],"with":[45],"enough":[46],"insight":[47],"arrive":[49],"at":[50],"accurate":[51],"estimates.":[53],"Next,":[54],"we":[55],"tested":[56],"methods":[58],"teaching":[60],"(Comparison":[64],"Decomposition)":[66],"analyzed":[68],"their":[69],"effectiveness.":[70],"Results":[71],"these":[73],"indicate":[75],"that":[76],"while":[77,102],"may":[81,92],"not":[82],"be":[83],"sufficient":[84],"this":[87],"type":[88],"education,":[90],"yet":[93],"access":[96],"community-generated":[98],"photos":[99],"labels":[101],"they":[103],"use":[104],"either":[105],"Comparison":[107],"or":[108],"Decomposition":[109],"strategy.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}