{"id":"https://openalex.org/W7140843452","doi":"https://doi.org/10.1145/3772318.3791015","title":"Good for the Planet, Bad for Me? Intended and Unintended Consequences of AI Energy Consumption Disclosure","display_name":"Good for the Planet, Bad for Me? Intended and Unintended Consequences of AI Energy Consumption Disclosure","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7140843452","doi":"https://doi.org/10.1145/3772318.3791015"},"language":null,"primary_location":{"id":"doi:10.1145/3772318.3791015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791015","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772318.3791015","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086941517","display_name":"Michael Klesel","orcid":"https://orcid.org/0000-0002-2884-1819"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I5237613","display_name":"Frankfurt University of Applied Sciences","ror":"https://ror.org/02r625m11","country_code":"DE","type":"education","lineage":["https://openalex.org/I5237613"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Klesel","raw_affiliation_strings":["Frankfurt University of Applied Sciences, Frankfurt, Germany and Hessian.AI, Darmstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2884-1819","affiliations":[{"raw_affiliation_string":"Frankfurt University of Applied Sciences, Frankfurt, Germany and Hessian.AI, Darmstadt, Germany","institution_ids":["https://openalex.org/I114090438","https://openalex.org/I5237613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130686833","display_name":"Uwe Messer","orcid":null},"institutions":[{"id":"https://openalex.org/I40527276","display_name":"Universit\u00e4t der Bundeswehr M\u00fcnchen","ror":"https://ror.org/05kkv3f82","country_code":"DE","type":"education","lineage":["https://openalex.org/I1315109972","https://openalex.org/I40527276","https://openalex.org/I4387152969"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Uwe Messer","raw_affiliation_strings":["Betriebswirtschaft, Universit\u00e4t der Bundeswehr M\u00fcnchen, Neubiberg, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0473-5066","affiliations":[{"raw_affiliation_string":"Betriebswirtschaft, Universit\u00e4t der Bundeswehr M\u00fcnchen, Neubiberg, Germany","institution_ids":["https://openalex.org/I40527276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.9482,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97145362,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.28760001063346863,"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"}},"topics":[{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.28760001063346863,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.09669999778270721,"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/T11883","display_name":"Embodied and Extended Cognition","score":0.05389999970793724,"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/unintended-consequences","display_name":"Unintended consequences","score":0.8105000257492065},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.6290000081062317},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.6021000146865845},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5846999883651733},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5737000107765198},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5095000267028809},{"id":"https://openalex.org/keywords/sustainable-consumption","display_name":"Sustainable consumption","score":0.4088999927043915},{"id":"https://openalex.org/keywords/risk-perception","display_name":"Risk perception","score":0.3919999897480011}],"concepts":[{"id":"https://openalex.org/C2776889888","wikidata":"https://www.wikidata.org/wiki/Q1135789","display_name":"Unintended consequences","level":2,"score":0.8105000257492065},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.6290000081062317},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5846999883651733},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5737000107765198},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4553000032901764},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.43869999051094055},{"id":"https://openalex.org/C2776770324","wikidata":"https://www.wikidata.org/wiki/Q477335","display_name":"Sustainable consumption","level":3,"score":0.4088999927043915},{"id":"https://openalex.org/C163355716","wikidata":"https://www.wikidata.org/wiki/Q2154783","display_name":"Risk perception","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C100001284","wikidata":"https://www.wikidata.org/wiki/Q2248246","display_name":"Public economics","level":1,"score":0.36000001430511475},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.33980000019073486},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C63972775","wikidata":"https://www.wikidata.org/wiki/Q332505","display_name":"Rebound effect (conservation)","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3296000063419342},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3246999979019165},{"id":"https://openalex.org/C8858961","wikidata":"https://www.wikidata.org/wiki/Q7068367","display_name":"Nudge theory","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C131046424","wikidata":"https://www.wikidata.org/wiki/Q1805337","display_name":"Energy policy","level":3,"score":0.29840001463890076},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.288100004196167},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C520301825","wikidata":"https://www.wikidata.org/wiki/Q380170","display_name":"Energy conservation","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28380000591278076},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2703999876976013},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.2549000084400177},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3772318.3791015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791015","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2603.23075","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2603.23075","pdf_url":"https://arxiv.org/pdf/2603.23075","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3772318.3791015","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772318.3791015","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 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,51,56,86,127,141,154,164],"high":[3],"energy":[4,9,91],"consumption":[5,10],"of":[6,53,61,88,157,166],"artificial":[7],"intelligence,":[8],"disclosure":[11],"(ECD)":[12],"has":[13],"been":[14],"proposed":[15],"to":[16,78],"steer":[17],"users":[18],"toward":[19,81],"more":[20,98],"sustainable":[21,167],"practices,":[22],"such":[23],"as":[24,110],"choosing":[25,62,89],"efficient":[26,92],"small":[27],"language":[28,33],"models":[29,34],"(SLMs)":[30],"over":[31,65,94],"large":[32],"(LLMs).":[35],"This":[36],"presents":[37],"a":[38,74,82,130],"performance-sustainability":[39],"trade-off":[40],"for":[41,163],"users.":[42],"In":[43],"an":[44,63,66,90,95,114,120],"experiment":[45],"with":[46,137],"365":[47],"participants,":[48],"we":[49],"explore":[50],"impact":[52,107],"ECD":[54,72],"and":[55,58,116,148],"perceptual":[57,131],"behavioral":[59],"consequences":[60],"SLM":[64,93,115,143],"LLM.":[67],"Our":[68],"findings":[69],"reveal":[70],"that":[71],"is":[73],"highly":[75],"effective":[76],"measure":[77],"nudge":[79],"individuals":[80,111,138],"pro-environmental":[83],"choice,":[84],"increasing":[85],"odds":[87],"LLM":[96,121],"by":[97],"than":[99],"12.":[100],"Interestingly,":[101],"this":[102],"choice":[103,128],"did":[104],"not":[105],"significantly":[106,145],"subsequent":[108],"behavior,":[109],"who":[112,118,139],"selected":[113,119,140],"those":[117],"demonstrated":[122],"similar":[123],"prompt":[124],"behavior.":[125],"Nevertheless,":[126],"created":[129],"bias.":[132],"A":[133],"placebo":[134],"effect":[135],"emerged,":[136],"\"eco-friendly\"":[142],"reporting":[144],"lower":[146],"satisfaction":[147],"perceived":[149],"quality.":[150],"These":[151],"results":[152],"highlight":[153],"double-edged":[155],"nature":[156],"ECD,":[158],"which":[159],"holds":[160],"critical":[161],"implications":[162],"design":[165],"human-computer":[168],"interactions.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2026-03-27T00:00:00"}
