{"id":"https://openalex.org/W2611773602","doi":"https://doi.org/10.1145/3025453.3025820","title":"Differences in Crowdsourced vs. Lab-based Mobile and Desktop Input Performance Data","display_name":"Differences in Crowdsourced vs. Lab-based Mobile and Desktop Input Performance Data","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2611773602","doi":"https://doi.org/10.1145/3025453.3025820","mag":"2611773602"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3025820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025820","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025820&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3025820&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031744461","display_name":"Leah Findlater","orcid":"https://orcid.org/0000-0002-5619-4452"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leah Findlater","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024458196","display_name":"Joan Zhang","orcid":"https://orcid.org/0000-0002-5532-1501"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joan Zhang","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016828530","display_name":"Jon E. Froehlich","orcid":"https://orcid.org/0000-0001-8291-3353"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jon E. Froehlich","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038999619","display_name":"Karyn Moffatt","orcid":"https://orcid.org/0000-0002-7081-0709"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Karyn Moffatt","raw_affiliation_strings":["McGill University, Montreal, PQ, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"McGill University, Montreal, PQ, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7031,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9478511,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6813","last_page":"6824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/touchscreen","display_name":"Touchscreen","score":0.9661794900894165},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.848900556564331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7070081233978271},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6552013754844666},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5426554679870605},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4394933879375458},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3410966396331787},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18866735696792603}],"concepts":[{"id":"https://openalex.org/C2778539339","wikidata":"https://www.wikidata.org/wiki/Q165970","display_name":"Touchscreen","level":2,"score":0.9661794900894165},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.848900556564331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7070081233978271},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6552013754844666},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5426554679870605},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4394933879375458},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3410966396331787},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18866735696792603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3025453.3025820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025820","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025820&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3025453.3025820","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025453.3025820","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025820&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2186828701","display_name":null,"funder_award_id":"IIS-1350438","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6283015371","display_name":"CAREER: Scaling Up Mobile Accessibility Through Touchscreen Personalization","funder_award_id":"1350438","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7948392519","display_name":null,"funder_award_id":"IIS 1350438","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2611773602.pdf","grobid_xml":"https://content.openalex.org/works/W2611773602.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W220935706","https://openalex.org/W1695216085","https://openalex.org/W2003849625","https://openalex.org/W2023910611","https://openalex.org/W2024166834","https://openalex.org/W2058738785","https://openalex.org/W2098924240","https://openalex.org/W2112103637","https://openalex.org/W2114269021","https://openalex.org/W2117470435","https://openalex.org/W2119298903","https://openalex.org/W2121723351","https://openalex.org/W2124884174","https://openalex.org/W2128213565","https://openalex.org/W2137872373","https://openalex.org/W2141708418","https://openalex.org/W2145036787","https://openalex.org/W2151332190","https://openalex.org/W2151401338","https://openalex.org/W2153657884","https://openalex.org/W2168765606","https://openalex.org/W2170989440","https://openalex.org/W3121257585","https://openalex.org/W3123895079","https://openalex.org/W3124258878","https://openalex.org/W3124878131","https://openalex.org/W3200788958","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2362245340","https://openalex.org/W2016136991","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2611740235","https://openalex.org/W2337920774","https://openalex.org/W570878463","https://openalex.org/W2345756999"],"abstract_inverted_index":{"Research":[0],"on":[1],"the":[2,22,31,47,54,84,103,143],"viability":[3],"of":[4,35,53],"using":[5,71],"crowdsourcing":[6],"for":[7,25,155,164],"HCI":[8],"performance":[9,156],"experiments":[10,63,157],"has":[11],"concluded":[12],"that":[13,152],"online":[14,36],"results":[15],"are":[16],"similar":[17],"to":[18,44],"those":[19],"achieved":[20],"in":[21,46,51,102,129],"lab---at":[23],"least":[24],"desktop":[26],"interactions.":[27],"However,":[28],"mobile":[29,130,165],"devices,":[30],"most":[32],"popular":[33],"form":[34],"access":[37],"today,":[38],"may":[39],"be":[40],"more":[41,106],"problematic":[42],"due":[43],"variability":[45,128],"user's":[48],"posture":[49],"and":[50,67,74,86,117,133],"movement":[52,132],"device.":[55],"To":[56],"assess":[57],"this":[58],"possibility,":[59],"we":[60],"conducted":[61],"two":[62],"with":[64],"30":[65],"lab-based":[66,122,161],"303":[68],"crowdsourced":[69,112,153],"participants":[70,113],"basic":[72],"mouse":[73,100],"touchscreen":[75,144],"tasks.":[76],"Our":[77],"findings":[78],"show":[79],"that:":[80],"(1)":[81],"separately":[82],"analyzing":[83],"crowd":[85],"lab":[87,104],"data":[88,154],"yields":[89],"different":[90],"study":[91,148],"conclusions-touchscreen":[92],"input":[93,101],"was":[94],"significantly":[95,115],"less":[96,118],"error":[97,107,145],"prone":[98,108],"than":[99,120],"but":[105],"online;":[109],"(2)":[110],"age-matched":[111],"were":[114],"faster":[116],"accurate":[119],"their":[121],"counterparts,":[123],"contrasting":[124],"past":[125],"work;":[126],"(3)":[127],"device":[131],"orientation":[134],"increased":[135],"as":[136],"experimenter":[137],"control":[138],"decreased--a":[139],"potential":[140],"factor":[141],"affecting":[142],"differences.":[146],"This":[147],"cautions":[149],"against":[150],"assuming":[151],"will":[158],"directly":[159],"reflect":[160],"data,":[162],"particularly":[163],"devices.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}