{"id":"https://openalex.org/W2624570621","doi":"https://doi.org/10.1145/3064663.3064735","title":"Machine Learning for Makers","display_name":"Machine Learning for Makers","publication_year":2017,"publication_date":"2017-06-08","ids":{"openalex":"https://openalex.org/W2624570621","doi":"https://doi.org/10.1145/3064663.3064735","mag":"2624570621"},"language":"en","primary_location":{"id":"doi:10.1145/3064663.3064735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3064663.3064735","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Designing Interactive Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3064663.3064735","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023149773","display_name":"David A. Mellis","orcid":null},"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":"David A. Mellis","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700612","display_name":"Ben Zhang","orcid":"https://orcid.org/0000-0002-8957-4638"},"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":"Ben Zhang","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076661603","display_name":"Audrey S. Leung","orcid":null},"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":"Audrey Leung","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084965768","display_name":"Bj\u00f6rn Hartmann","orcid":null},"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":"Bj\u00f6rn Hartmann","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":1.5369,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81912633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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":0.9986000061035156,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9937000274658203,"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/T10260","display_name":"Software Engineering Research","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8377037644386292},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7272242903709412},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6195152997970581},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5991363525390625},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5183333158493042},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5085209608078003},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4992692470550537},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4921044707298279},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4842759966850281},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4310567080974579},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4166921079158783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3489484190940857},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10812768340110779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8377037644386292},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7272242903709412},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6195152997970581},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5991363525390625},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5183333158493042},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5085209608078003},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4992692470550537},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4921044707298279},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4842759966850281},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4310567080974579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4166921079158783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3489484190940857},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10812768340110779},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3064663.3064735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3064663.3064735","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Designing Interactive Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3064663.3064735","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3064663.3064735","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 Conference on Designing Interactive Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8700000047683716,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1524334307","https://openalex.org/W1528209574","https://openalex.org/W1575597416","https://openalex.org/W1591052160","https://openalex.org/W1965863284","https://openalex.org/W1969120304","https://openalex.org/W1994547327","https://openalex.org/W2011824517","https://openalex.org/W2020796004","https://openalex.org/W2048207755","https://openalex.org/W2053604034","https://openalex.org/W2062658884","https://openalex.org/W2066114190","https://openalex.org/W2069883713","https://openalex.org/W2075779758","https://openalex.org/W2077071444","https://openalex.org/W2088182082","https://openalex.org/W2099769844","https://openalex.org/W2101234009","https://openalex.org/W2113798388","https://openalex.org/W2116817356","https://openalex.org/W2117601224","https://openalex.org/W2125124735","https://openalex.org/W2128889245","https://openalex.org/W2138079527","https://openalex.org/W2139374478","https://openalex.org/W2141964067","https://openalex.org/W2142639790","https://openalex.org/W2142848577","https://openalex.org/W2148926368","https://openalex.org/W2149802704","https://openalex.org/W2151889438","https://openalex.org/W2154583606","https://openalex.org/W2155861480","https://openalex.org/W2156517224","https://openalex.org/W2159999338","https://openalex.org/W2160288944","https://openalex.org/W2160694571","https://openalex.org/W2161012827","https://openalex.org/W2161336914","https://openalex.org/W2161708246","https://openalex.org/W2161996677","https://openalex.org/W2165254944","https://openalex.org/W2169709590","https://openalex.org/W2426031434","https://openalex.org/W2555668463","https://openalex.org/W2909369566","https://openalex.org/W3100570787","https://openalex.org/W4285719527","https://openalex.org/W6682154257"],"related_works":["https://openalex.org/W4389670110","https://openalex.org/W2429057255","https://openalex.org/W2187546663","https://openalex.org/W148745890","https://openalex.org/W2611942503","https://openalex.org/W4315621326","https://openalex.org/W2899790217","https://openalex.org/W2598865957","https://openalex.org/W1576092969","https://openalex.org/W2524154428"],"abstract_inverted_index":{"Although":[0],"many":[1],"software":[2],"libraries":[3,31],"and":[4,72,105,109,136,177,184],"hardware":[5],"modules":[6],"support":[7,140],"reading":[8],"data":[9],"from":[10,22,78],"sensors,":[11],"makers":[12,95],"of":[13,53,123,164,186],"interactive":[14,70],"systems":[15],"often":[16,128],"struggle":[17],"to":[18,34,42,90,130,134,148],"extract":[19],"higher-level":[20],"information":[21],"raw":[23],"sensor":[24,101],"data.":[25],"Available":[26],"general-purpose":[27],"machine":[28],"learning":[29],"(ML)":[30],"remain":[32],"difficult":[33],"use":[35],"for":[36,50,141,173],"non-experts.":[37],"Prior":[38],"research":[39],"has":[40],"sought":[41],"bridge":[43],"this":[44],"gap":[45],"through":[46,96,190],"domain-specific":[47],"user":[48],"interfaces":[49,74],"particular":[51,142],"types":[52],"sensors":[54,176],"or":[55],"algorithms.":[56,179],"Our":[57],"ESP":[58,118],"(Example-based":[59],"Sensor":[60],"Prediction)":[61],"system":[62,154],"introduces":[63],"a":[64,120,151,191],"more":[65],"general":[66],"approach":[67,189],"in":[68],"which":[69],"visualizations":[71],"control":[73],"are":[75,127],"dynamically":[76],"generated":[77],"augmented":[79,86,113],"code":[80],"examples":[81,87,114],"written":[82],"by":[83,153,161,170],"experts.":[84],"ESP's":[85,168],"allow":[88],"experts":[89,126],"write":[91],"logic":[92],"that":[93],"guides":[94],"important":[97],"steps":[98],"such":[99,132],"as":[100],"calibration,":[102],"parameter":[103],"tuning,":[104],"assessing":[106],"signal":[107],"quality":[108],"classification":[110,178],"performance.":[111],"Writing":[112],"requires":[115],"additional":[116],"effort.":[117],"leverages":[119],"fundamental":[121],"dynamic":[122],"online":[124],"communities:":[125],"willing":[129],"invest":[131],"effort":[133],"teach":[135],"train":[137],"novices.":[138],"Thus":[139],"sensing":[143],"domains":[144],"does":[145],"not":[146],"have":[147],"be":[149,158],"hard-wired":[150],"priori":[152],"authors,":[155],"but":[156],"can":[157],"provided":[159],"later":[160],"its":[162],"community":[163],"users.":[165],"We":[166,180],"illustrate":[167],"flexibility":[169,185],"detailing":[171],"pipelines":[172],"four":[174],"distinct":[175],"validated":[181],"the":[182],"usability":[183],"our":[187],"example-based":[188],"one-day":[192],"workshop":[193],"with":[194],"11":[195],"participants.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}