{"id":"https://openalex.org/W7164506370","doi":"https://doi.org/10.1145/3800645.3813061","title":"Design for Cognitive Outcomes First: Countering Instrumental Drift in Generative AI for Knowledge Work","display_name":"Design for Cognitive Outcomes First: Countering Instrumental Drift in Generative AI for Knowledge Work","publication_year":2026,"publication_date":"2026-06-12","ids":{"openalex":"https://openalex.org/W7164506370","doi":"https://doi.org/10.1145/3800645.3813061"},"language":null,"primary_location":{"id":"doi:10.1145/3800645.3813061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3800645.3813061","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 2026 Designing Interactive Systems Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3800645.3813061","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029574825","display_name":"Aeneas Stankowski","orcid":"https://orcid.org/0009-0002-3747-1909"},"institutions":[{"id":"https://openalex.org/I46043019","display_name":"Berlin University of the Arts","ror":"https://ror.org/03eznrw16","country_code":"DE","type":"education","lineage":["https://openalex.org/I46043019"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Aeneas Stankowski","raw_affiliation_strings":["DRx, DFKI, Berlin, Berlin, Germany and University of the Arts, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0002-3747-1909","affiliations":[{"raw_affiliation_string":"DRx, DFKI, Berlin, Berlin, Germany and University of the Arts, Berlin, Germany","institution_ids":["https://openalex.org/I46043019"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066316949","display_name":"Daniel Varab","orcid":null},"institutions":[{"id":"https://openalex.org/I2802442800","display_name":"Deutsches Forschungsnetz","ror":"https://ror.org/038t94116","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2802442800"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Varab","raw_affiliation_strings":["DRx, DFKI, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0001-6191-2850","affiliations":[{"raw_affiliation_string":"DRx, DFKI, Berlin, Germany","institution_ids":["https://openalex.org/I2802442800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138510957","display_name":"Morgan Clarke","orcid":"https://orcid.org/0009-0005-4708-5894"},"institutions":[{"id":"https://openalex.org/I2802442800","display_name":"Deutsches Forschungsnetz","ror":"https://ror.org/038t94116","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2802442800"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Morgan Clarke","raw_affiliation_strings":["DRx, DFKI, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0005-4708-5894","affiliations":[{"raw_affiliation_string":"DRx, DFKI, Berlin, Germany","institution_ids":["https://openalex.org/I2802442800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120248370","display_name":"Philipp Gschwendtner","orcid":"https://orcid.org/0009-0004-6309-729X"},"institutions":[{"id":"https://openalex.org/I2802442800","display_name":"Deutsches Forschungsnetz","ror":"https://ror.org/038t94116","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2802442800"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Gschwendtner","raw_affiliation_strings":["DRx, DFKI, Berlin, Germany"],"raw_orcid":"https://orcid.org/0009-0004-6309-729X","affiliations":[{"raw_affiliation_string":"DRx, DFKI, Berlin, Germany","institution_ids":["https://openalex.org/I2802442800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074144827","display_name":"Eleftherios Avramidis","orcid":"https://orcid.org/0000-0002-5671-573X"},"institutions":[{"id":"https://openalex.org/I2802442800","display_name":"Deutsches Forschungsnetz","ror":"https://ror.org/038t94116","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2802442800"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Eleftherios Avramidis","raw_affiliation_strings":["DRx, DFKI, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5671-573X","affiliations":[{"raw_affiliation_string":"DRx, DFKI, Berlin, Germany","institution_ids":["https://openalex.org/I2802442800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94435242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1205","last_page":"1222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.0934000015258789,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11516","display_name":"Visual and Cognitive Learning Processes","score":0.0934000015258789,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.08990000188350677,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.08649999648332596,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5539000034332275},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5062000155448914},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4431999921798706},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3366999924182892},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.2937999963760376}],"concepts":[{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5539000034332275},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48890000581741333},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.412200003862381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.390500009059906},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3366999924182892},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C189216375","wikidata":"https://www.wikidata.org/wiki/Q1127759","display_name":"Cognitive bias","level":3,"score":0.26409998536109924},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3800645.3813061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3800645.3813061","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 2026 Designing Interactive Systems Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3800645.3813061","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3800645.3813061","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 2026 Designing Interactive Systems Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1270658374","https://openalex.org/W1499005519","https://openalex.org/W1982977873","https://openalex.org/W2004805246","https://openalex.org/W2017546717","https://openalex.org/W2021370805","https://openalex.org/W2023068748","https://openalex.org/W2026272086","https://openalex.org/W2029317430","https://openalex.org/W2043940045","https://openalex.org/W2057879831","https://openalex.org/W2066267850","https://openalex.org/W2081446842","https://openalex.org/W2091127757","https://openalex.org/W2101586110","https://openalex.org/W2115635458","https://openalex.org/W2118369420","https://openalex.org/W2133044046","https://openalex.org/W2133443878","https://openalex.org/W2138535943","https://openalex.org/W2141846678","https://openalex.org/W2142448246","https://openalex.org/W2143642201","https://openalex.org/W2346831895","https://openalex.org/W2494240753","https://openalex.org/W2500671607","https://openalex.org/W2808256822","https://openalex.org/W2916120661","https://openalex.org/W2990761427","https://openalex.org/W3032875465","https://openalex.org/W3159250634","https://openalex.org/W3201195645","https://openalex.org/W4200195738","https://openalex.org/W4221112461","https://openalex.org/W4237356565","https://openalex.org/W4243906228","https://openalex.org/W4285302778","https://openalex.org/W4286703386","https://openalex.org/W4297446819","https://openalex.org/W4307217168","https://openalex.org/W4366548330","https://openalex.org/W4366590585","https://openalex.org/W4391334978","https://openalex.org/W4391556516","https://openalex.org/W4392002068","https://openalex.org/W4396832139","https://openalex.org/W4396832739","https://openalex.org/W4396833054","https://openalex.org/W4399713571","https://openalex.org/W4402967824","https://openalex.org/W4409749092","https://openalex.org/W4409884298","https://openalex.org/W4409885395","https://openalex.org/W4411505915","https://openalex.org/W4412035533","https://openalex.org/W4412035700","https://openalex.org/W4414673400","https://openalex.org/W4417098932"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"AI":[1,131],"systems":[2],"optimized":[3],"for":[4,146],"efficient":[5],"artifact":[6],"production":[7],"can":[8],"inadvertently":[9],"bypass":[10],"the":[11,98,113],"cognitive":[12,42,55,95,110,147],"labor":[13,111],"that":[14,57,76,140],"gives":[15],"knowledge":[16],"work":[17],"its":[18],"value.":[19],"Through":[20],"a":[21,39,52,107],"Research":[22],"through":[23,51],"Design":[24],"study":[25,99],"in":[26],"corporate":[27],"goal-setting\u2014a":[28],"reflective":[29],"practice":[30],"increasingly":[31],"hollowed":[32],"by":[33],"bureaucratic":[34],"pressures\u2014we":[35],"propose":[36],"and":[37,65,116,136],"evaluate":[38],"design":[40],"principle:":[41],"outcomes":[43,96,105],"first,":[44,106],"material":[45],"artifacts":[46,117],"second.":[47],"We":[48,101],"operationalize":[49],"this":[50],"prototype":[53],"using":[54],"scaffolds":[56],"require":[58],"users":[59,150],"to":[60],"articulate":[61],"contextual":[62],"nuances,":[63],"constraints,":[64],"strategic":[66],"realities":[67],"before":[68],"generating":[69],"artifacts.":[70],"Evaluation":[71],"with":[72,149],"16":[73],"employees":[74],"revealed":[75],"75%":[77],"recognized":[78],"persistent":[79,141],"questioning":[80],"as":[81,112,118],"productive":[82],"rigor":[83],"yielding":[84],"\u201ccognitive":[85],"delta\u201d":[86],"(new":[87],"insight).":[88],"A":[89],"five-month":[90],"follow-up":[91],"confirmed":[92],"durability":[93],"of":[94,120],"beyond":[97],"context.":[100],"contribute:":[102],"(1)":[103],"Cognitive":[104],"principle":[108],"establishing":[109],"primary":[114],"product":[115],"proof":[119],"work;":[121],"(2)":[122],"Instrumental":[123],"drift,":[124],"an":[125],"analytic":[126],"lens":[127],"revealing":[128],"how":[129],"efficiency-optimized":[130],"decouples":[132],"instruments":[133],"from":[134],"purposes;":[135],"(3)":[137],"empirical":[138],"demonstration":[139],"inquiry":[142],"succeeds":[143],"when":[144],"designed":[145],"engagement,":[148],"recognizing":[151],"epistemic":[152],"value":[153],"despite":[154],"interaction":[155],"costs.":[156]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-06-13T00:00:00"}
