{"id":"https://openalex.org/W7130724632","doi":"https://doi.org/10.48550/arxiv.2602.17264","title":"On the Reliability of User-Centric Evaluation of Conversational Recommender Systems","display_name":"On the Reliability of User-Centric Evaluation of Conversational Recommender Systems","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130724632","doi":"https://doi.org/10.48550/arxiv.2602.17264"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.17264","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126514083","display_name":"Michael M\u00fcller","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M\u00fcller, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086678250","display_name":"Amir Reza Mohammadi","orcid":"https://orcid.org/0000-0003-3934-6941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadi, Amir Reza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084204756","display_name":"Andreas Peintner","orcid":"https://orcid.org/0000-0001-7337-524X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peintner, Andreas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126489104","display_name":"Beatriz Barroso Gstrein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gstrein, Beatriz Barroso","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073412960","display_name":"G\u00fcnther Specht","orcid":"https://orcid.org/0000-0003-0978-7201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Specht, G\u00fcnther","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070525687","display_name":"Eva Zangerle","orcid":"https://orcid.org/0000-0003-3195-8273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zangerle, Eva","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5126514083"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.2694999873638153,"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":0.2694999873638153,"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/T12128","display_name":"AI in Service Interactions","score":0.1753000020980835,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.1412000060081482,"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/reliability","display_name":"Reliability (semiconductor)","score":0.79830002784729},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.607699990272522},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5353999733924866},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5044000148773193},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48429998755455017},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.4104999899864197},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4065000116825104}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.79830002784729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645999789237976},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.607699990272522},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48539999127388},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.4104999899864197},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3668000102043152},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3197999894618988},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29989999532699585},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2888999879360199},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28209999203681946},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.17264","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Article"},{"id":"doi:10.48550/arxiv.2602.17264","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.17264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.17264","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"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":{"User-centric":[0],"evaluation":[1,72,170],"has":[2],"become":[3],"a":[4,60,148,154],"key":[5],"paradigm":[6],"for":[7,176],"assessing":[8],"Conversational":[9],"Recommender":[10],"Systems":[11],"(CRS),":[12],"aiming":[13],"to":[14],"capture":[15],"subjective":[16],"qualities":[17],"such":[18,119,134],"as":[19,120,135],"satisfaction,":[20],"trust,":[21],"and":[22,67,98,108,116,123,137,168,172,179],"rapport.":[23],"To":[24],"enable":[25],"scalable":[26],"evaluation,":[27],"recent":[28],"work":[29],"increasingly":[30],"relies":[31],"on":[32,73,85],"third-party":[33,159],"annotations":[34,80],"of":[35,49,69,105,166],"static":[36,74],"dialogue":[37,75],"logs":[38],"by":[39],"crowd":[40,83],"workers":[41,84],"or":[42],"large":[43],"language":[44],"models.":[45],"However,":[46],"the":[47,65,90,103,164,174],"reliability":[48,66,96,127],"this":[50,56],"practice":[51],"remains":[52],"largely":[53],"unexamined.":[54],"In":[55],"paper,":[57],"we":[58,101],"present":[59],"large-scale":[61],"empirical":[62],"study":[63],"investigating":[64],"structure":[68],"user-centric":[70],"CRS":[71,184],"transcripts.":[76],"We":[77],"collected":[78],"1,053":[79],"from":[81],"124":[82],"200":[86],"ReDial":[87],"dialogues":[88],"using":[89],"18-dimensional":[91],"CRS-Que":[92],"framework.":[93],"Using":[94],"random-effects":[95],"models":[97],"correlation":[99],"analysis,":[100],"quantify":[102],"stability":[104],"individual":[106],"dimensions":[107,118,145],"their":[109],"interdependencies.":[110],"Our":[111],"results":[112],"show":[113],"that":[114],"utilitarian":[115],"outcome-oriented":[117],"accuracy,":[121],"usefulness,":[122],"satisfaction":[124],"achieve":[125],"moderate":[126],"under":[128],"aggregation,":[129],"whereas":[130],"socially":[131],"grounded":[132],"constructs":[133],"humanness":[136],"rapport":[138],"are":[139],"substantially":[140],"less":[141],"reliable.":[142],"Furthermore,":[143],"many":[144],"collapse":[146],"into":[147],"single":[149],"global":[150],"quality":[151],"signal,":[152],"revealing":[153],"strong":[155],"halo":[156],"effect":[157],"in":[158,182],"judgments.":[160],"These":[161],"findings":[162],"challenge":[163],"validity":[165],"single-annotator":[167],"LLM-based":[169],"protocols":[171],"motivate":[173],"need":[175],"multi-rater":[177],"aggregation":[178],"dimension":[180],"reduction":[181],"offline":[183],"evaluation.":[185]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-21T00:00:00"}
