{"id":"https://openalex.org/W2030813129","doi":"https://doi.org/10.1109/thms.2014.2360281","title":"Two Large Open-Access Datasets for Fitts\u2019 Law of Human Motion and a Succinct Derivation of the Square-Root Variant","display_name":"Two Large Open-Access Datasets for Fitts\u2019 Law of Human Motion and a Succinct Derivation of the Square-Root Variant","publication_year":2014,"publication_date":"2014-12-19","ids":{"openalex":"https://openalex.org/W2030813129","doi":"https://doi.org/10.1109/thms.2014.2360281","mag":"2030813129"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2014.2360281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2014.2360281","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","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/A5010019244","display_name":"Ken Goldberg","orcid":"https://orcid.org/0000-0001-6747-9499"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ken Goldberg","raw_affiliation_strings":["Industrial Engineering and Operations Research Department, University of California, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering and Operations Research Department, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086774133","display_name":"Siamak Faridani","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210086253","display_name":"Silicon Valley Community Foundation","ror":"https://ror.org/001ader08","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210086253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siamak Faridani","raw_affiliation_strings":["Microsoft Silicon Valley, Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Silicon Valley, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210086253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054402635","display_name":"Ron Alterovitz","orcid":"https://orcid.org/0000-0002-4492-1384"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ron Alterovitz","raw_affiliation_strings":["Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","Department of Computer Science, University of North Carolina at Chapel Hill Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"Department of Computer Science, University of North Carolina at Chapel Hill Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2606,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.77349981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"45","issue":"1","first_page":"62","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10982","display_name":"Motor Control and Adaptation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.7939776182174683},{"id":"https://openalex.org/keywords/square-root","display_name":"Square root","score":0.7041301727294922},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.5145022869110107},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5124340653419495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5097183585166931},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.49759748578071594},{"id":"https://openalex.org/keywords/java-applet","display_name":"Java applet","score":0.4928429126739502},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46615609526634216},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4619453549385071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4086221754550934},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4036189913749695},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2925207018852234},{"id":"https://openalex.org/keywords/java","display_name":"Java","score":0.23543012142181396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17505869269371033},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17203378677368164},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1503552794456482}],"concepts":[{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.7939776182174683},{"id":"https://openalex.org/C11577676","wikidata":"https://www.wikidata.org/wiki/Q134237","display_name":"Square root","level":2,"score":0.7041301727294922},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.5145022869110107},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5124340653419495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5097183585166931},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.49759748578071594},{"id":"https://openalex.org/C15524039","wikidata":"https://www.wikidata.org/wiki/Q865817","display_name":"Java applet","level":3,"score":0.4928429126739502},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46615609526634216},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4619453549385071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4086221754550934},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4036189913749695},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2925207018852234},{"id":"https://openalex.org/C548217200","wikidata":"https://www.wikidata.org/wiki/Q251","display_name":"Java","level":2,"score":0.23543012142181396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17505869269371033},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17203378677368164},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1503552794456482},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/thms.2014.2360281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2014.2360281","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt3t4049ss","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/3t4049ss","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Human-Machine Systems, vol 45, iss 1","raw_type":"article"},{"id":"pmh:qt3t4049ss","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/3t4049ss","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Goldberg, K; Faridani, S; & Alterovitz, R. (2015). Two large open-access datasets for fitts' law of human motion and a succinct derivation of the square-root variant. IEEE Transactions on Human-Machine Systems, 45(1). doi: 10.1109/THMS.2014.2360281. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/3t4049ss","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G8968797657","display_name":null,"funder_award_id":"IIS-1227536","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"},{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320309411","display_name":"University of California Berkeley","ror":"https://ror.org/01an7q238"},{"id":"https://openalex.org/F4320332622","display_name":"University of California, San Francisco","ror":"https://ror.org/043mz5j54"},{"id":"https://openalex.org/F4320337373","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W37305701","https://openalex.org/W1504728754","https://openalex.org/W1575494502","https://openalex.org/W1759394199","https://openalex.org/W1885639605","https://openalex.org/W1956636948","https://openalex.org/W1966452739","https://openalex.org/W1973343154","https://openalex.org/W1975128311","https://openalex.org/W1981828094","https://openalex.org/W1982014182","https://openalex.org/W1990242729","https://openalex.org/W1995306470","https://openalex.org/W1995482040","https://openalex.org/W2003987904","https://openalex.org/W2004819320","https://openalex.org/W2010085418","https://openalex.org/W2014448832","https://openalex.org/W2014733463","https://openalex.org/W2017150428","https://openalex.org/W2021445501","https://openalex.org/W2022216960","https://openalex.org/W2024673308","https://openalex.org/W2027135291","https://openalex.org/W2038029577","https://openalex.org/W2051533101","https://openalex.org/W2053333995","https://openalex.org/W2055694118","https://openalex.org/W2058556535","https://openalex.org/W2063632545","https://openalex.org/W2076054651","https://openalex.org/W2079146361","https://openalex.org/W2089669290","https://openalex.org/W2093568573","https://openalex.org/W2105512500","https://openalex.org/W2112824399","https://openalex.org/W2115371353","https://openalex.org/W2122297397","https://openalex.org/W2127130637","https://openalex.org/W2135101375","https://openalex.org/W2145799194","https://openalex.org/W2146600920","https://openalex.org/W2147160183","https://openalex.org/W2158391167","https://openalex.org/W2162056049","https://openalex.org/W2167734136","https://openalex.org/W2168443748","https://openalex.org/W2179427518","https://openalex.org/W2489568098","https://openalex.org/W2945484122","https://openalex.org/W2999517748","https://openalex.org/W4239127880","https://openalex.org/W4285719527","https://openalex.org/W4299335379","https://openalex.org/W6666677813","https://openalex.org/W6722464651","https://openalex.org/W6983731446"],"related_works":["https://openalex.org/W2351253912","https://openalex.org/W2390343738","https://openalex.org/W2159711605","https://openalex.org/W3030051407","https://openalex.org/W2015864859","https://openalex.org/W2007095478","https://openalex.org/W2003747419","https://openalex.org/W1975727149","https://openalex.org/W4367665025","https://openalex.org/W2129427029"],"abstract_inverted_index":{"Fitts'":[0,57],"law":[1,58],"specifies":[2],"a":[3,30,44,49,120,164,176,190],"logarithmic":[4,83,90],"relationship":[5],"between":[6],"motion":[7,69,211],"duration":[8,70],"and":[9,37,63,87,102,114,152,160,173,197],"the":[10,53,72,97,100,116,130,135,146,186,218],"ratio":[11,73,136],"of":[12,52,56,74,137,182],"target":[13,16,75,78,138,141],"distance":[14,76,139],"over":[15,77,140],"size.":[17],"This":[18],"paper":[19],"introduces":[20],"two":[21],"large":[22],"open-access":[23],"datasets":[24,205],"from":[25,99],"experimental":[26],"user":[27],"studies:":[28],"first":[29],"controlled":[31,101],"(in-lab)":[32],"study":[33,42],"with":[34,129],"46":[35],"participants,":[36],"second":[38],"an":[39],"uncontrolled":[40,103],"online":[41],"using":[43,59],"Java":[45],"applet.":[46],"We":[47,93],"present":[48],"succinct":[50],"derivation":[51],"square-root":[54],"variant":[55],"optimal":[60],"control":[61],"theory":[62],"compare":[64],"three":[65],"models":[66,147],"that":[67],"relate":[68],"to":[71,215,221],"size:":[79],"LOG":[80,125,169,174,196],"(Fitts'":[81],"original":[82],"function),":[84],"SQR":[85,117,162,198],"(square-root),":[86],"LOG'":[88,187],"(McKenzie's":[89],"plus":[91],"1.0).":[92],"find":[94],"that:":[95],"1)":[96],"data":[98],"studies":[104],"are":[105,148],"consistent;":[106],"2)":[107],"for":[108,154,170,180],"homogeneous":[109],"targets":[110,133,156,172,181],"(with":[111,157],"fixed":[112],"size":[113,142,159],"distance),":[115,161],"model":[118,188],"yields":[119,163,175,189],"significantly":[121,150,165,177,191],"better":[122,166,178,192],"fit":[123,167,179,193],"than":[124,168,194],"or":[126],"LOG',":[127],"except":[128],"most":[131],"difficult":[132,201],"(where":[134],"is":[143],"large)":[144],"where":[145],"not":[149],"different;":[151],"3)":[153],"heterogeneous":[155],"varying":[158],"easy":[171],"medium":[183],"difficulty,":[184],"while":[185],"both":[195],"on":[199],"very":[200],"targets.":[202],"The":[203],"anonymized":[204],"including":[206],"94":[207],"580":[208],"human":[209],"reaching":[210],"timing":[212],"measurements":[213],"are,":[214],"our":[216],"knowledge,":[217],"largest":[219],"collected":[220],"date.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}