{"id":"https://openalex.org/W4366595129","doi":"https://doi.org/10.1145/3544549.3573851","title":"Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting","display_name":"Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting","publication_year":2023,"publication_date":"2023-04-19","ids":{"openalex":"https://openalex.org/W4366595129","doi":"https://doi.org/10.1145/3544549.3573851"},"language":"en","primary_location":{"id":"doi:10.1145/3544549.3573851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3573851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-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/A5056585720","display_name":"Yasaman S. Sefidgar","orcid":"https://orcid.org/0000-0001-8990-699X"},"institutions":[{"id":"https://openalex.org/I19434645","display_name":"Allen University","ror":"https://ror.org/02h7s7a86","country_code":"US","type":"education","lineage":["https://openalex.org/I19434645"]},{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasaman S. Sefidgar","raw_affiliation_strings":["Allen School, University of Washington, United States"],"raw_orcid":"https://orcid.org/0000-0001-8990-699X","affiliations":[{"raw_affiliation_string":"Allen School, University of Washington, United States","institution_ids":["https://openalex.org/I19434645","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061956068","display_name":"Matthew J\u00f6rke","orcid":"https://orcid.org/0000-0003-2972-462X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew J\u00f6rke","raw_affiliation_strings":["Computer Science, Stanford University, United States"],"raw_orcid":"https://orcid.org/0000-0003-2972-462X","affiliations":[{"raw_affiliation_string":"Computer Science, Stanford University, United States","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072651383","display_name":"Jina Suh","orcid":"https://orcid.org/0000-0002-7646-5563"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jina Suh","raw_affiliation_strings":["Microsoft Research, United States"],"raw_orcid":"https://orcid.org/0000-0002-7646-5563","affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057029055","display_name":"Koustuv Saha","orcid":"https://orcid.org/0000-0002-8872-2934"},"institutions":[{"id":"https://openalex.org/I4210153468","display_name":"Microsoft (Canada)","ror":"https://ror.org/04xhxg104","country_code":"CA","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210153468"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Koustuv Saha","raw_affiliation_strings":["Microsoft Research, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8872-2934","affiliations":[{"raw_affiliation_string":"Microsoft Research, Canada","institution_ids":["https://openalex.org/I4210153468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014724580","display_name":"Shamsi T. Iqbal","orcid":"https://orcid.org/0000-0002-9380-8759"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shamsi Iqbal","raw_affiliation_strings":["Microsoft Research, United States"],"raw_orcid":"https://orcid.org/0000-0002-9380-8759","affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090345450","display_name":"Gonzalo Ramos","orcid":"https://orcid.org/0000-0003-4198-5021"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Ramos","raw_affiliation_strings":["Microsoft Research, United States"],"raw_orcid":"https://orcid.org/0000-0003-4198-5021","affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020340631","display_name":"Mary Czerwinski","orcid":"https://orcid.org/0000-0003-0881-401X"},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary P Czerwinski","raw_affiliation_strings":["Microsoft Research, United States"],"raw_orcid":"https://orcid.org/0000-0003-0881-401X","affiliations":[{"raw_affiliation_string":"Microsoft Research, United States","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4631,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63015579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11114","display_name":"Service and Product Innovation","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11542","display_name":"Behavioral Health and Interventions","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.735420823097229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6697486639022827},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6574785113334656},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5662853121757507},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5298228859901428},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.47018375992774963},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.4176056981086731},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4155729413032532},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4143722653388977},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13657692074775696}],"concepts":[{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.735420823097229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6697486639022827},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6574785113334656},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5662853121757507},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5298228859901428},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.47018375992774963},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4176056981086731},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4155729413032532},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4143722653388977},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13657692074775696},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544549.3573851","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544549.3573851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W150082562","https://openalex.org/W624435403","https://openalex.org/W1818536883","https://openalex.org/W1983554876","https://openalex.org/W2033439452","https://openalex.org/W2081446842","https://openalex.org/W2118051314","https://openalex.org/W2129343065","https://openalex.org/W2149613197","https://openalex.org/W2169007556","https://openalex.org/W2513247639","https://openalex.org/W2610904967","https://openalex.org/W2736267019","https://openalex.org/W2920841590","https://openalex.org/W3003492752","https://openalex.org/W3029647688","https://openalex.org/W4221112461","https://openalex.org/W4225108991","https://openalex.org/W4237356565"],"related_works":["https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2769996735","https://openalex.org/W2260963831","https://openalex.org/W4235249401","https://openalex.org/W2331305369","https://openalex.org/W2043523297","https://openalex.org/W2113405914","https://openalex.org/W2015200445","https://openalex.org/W2950042906"],"abstract_inverted_index":{"Goal":[0],"setting":[1],"and":[2,25,39,51,121,146],"realization":[3,19,109],"are":[4],"important":[5,127],"but":[6],"challenging.":[7],"These":[8],"challenges":[9],"can":[10,67,102],"be":[11],"mitigated":[12],"through":[13],"effective":[14],"application":[15,73],"of":[16,53,71,77,119,129,144],"behavior":[17,36],"change":[18],"techniques":[20],"such":[21],"as":[22],"implementation":[23],"intention":[24],"mental":[26],"contrasting":[27],"(IIMC).":[28],"IIMC":[29,72],"relies":[30],"on":[31,132],"identifying":[32,48],"situations":[33,46],"compromising":[34],"desired":[35],"(i.e.,":[37,47],"obstacles)":[38],"creating":[40],"action":[41],"plans":[42],"to":[43,55,126],"handle":[44],"those":[45],"what,":[49],"when,":[50],"where":[52],"actions":[54],"prevent":[56],"or":[57],"overcome":[58],"the":[59,69,75,123,137,141],"obstacles).":[60],"We":[61,94],"explore":[62],"ways":[63],"historical":[64],"personal":[65],"data":[66],"enhance":[68],"efficacy":[70],"in":[74,81,105,115,136],"context":[76,139],"improving":[78],"work-nonwork":[79],"balance":[80],"a":[82,90],"probing":[83],"study":[84,100],"with":[85,110],"16":[86],"information":[87],"workers":[88],"at":[89],"large":[91],"technology":[92],"company.":[93],"share":[95],"lessons":[96],"learned":[97],"from":[98],"this":[99],"that":[101],"help":[103],"designers":[104],"further":[106],"supporting":[107],"goal":[108],"data,":[111],"guide":[112],"researchers":[113],"interested":[114],"more":[116],"formal":[117],"studies":[118],"IIMC,":[120,134],"point":[122],"research":[124],"community":[125],"areas":[128],"future":[130],"work":[131,138],"data-driven":[133],"particularly":[135],"(e.g.,":[140],"social":[142],"dimensions":[143],"sense-making":[145],"planning).":[147]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
