{"id":"https://openalex.org/W7135018711","doi":"https://doi.org/10.1145/3776734.3794506","title":"Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models","display_name":"Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135018711","doi":"https://doi.org/10.1145/3776734.3794506"},"language":null,"primary_location":{"id":"doi:10.1145/3776734.3794506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3776734.3794506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2606.26382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072125042","display_name":"Mayumi Mohan","orcid":"https://orcid.org/0000-0002-0732-4476"},"institutions":[{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mayumi Mohan","raw_affiliation_strings":["MPI for Intelligent Systems, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0732-4476","affiliations":[{"raw_affiliation_string":"MPI for Intelligent Systems, Stuttgart, Germany","institution_ids":["https://openalex.org/I4210135521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021487227","display_name":"Ju-Hung Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ju-Hung Chen","raw_affiliation_strings":["Case Western Reserve University, Cleveland, USA"],"raw_orcid":"https://orcid.org/0009-0001-4756-1441","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034405410","display_name":"Alexis E. Block","orcid":"https://orcid.org/0000-0001-9841-0769"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexis E. Block","raw_affiliation_strings":["Case Western Reserve University, Cleveland, USA"],"raw_orcid":"https://orcid.org/0000-0001-9841-0769","affiliations":[{"raw_affiliation_string":"Case Western Reserve University, Cleveland, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26487953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"804","last_page":"808"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.6812999844551086,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10709","display_name":"Social Robot Interaction and HRI","score":0.6812999844551086,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10667","display_name":"Emotion and Mood Recognition","score":0.027499999850988388,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/terminology","display_name":"Terminology","score":0.7570000290870667},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6741999983787537},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4117000102996826},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4083000123500824},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.3508000075817108}],"concepts":[{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.7570000290870667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7407000064849854},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6741999983787537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4162999987602234},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4117000102996826},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4083000123500824},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40230000019073486},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3179999887943268},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2581999897956848}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3776734.3794506","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3776734.3794506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2606.26382","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.26382","pdf_url":"https://arxiv.org/pdf/2606.26382","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2606.26382","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.26382","pdf_url":"https://arxiv.org/pdf/2606.26382","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7135018711.pdf","grobid_xml":"https://content.openalex.org/works/W7135018711.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1967251359","https://openalex.org/W2784222617","https://openalex.org/W2898268881","https://openalex.org/W2922127468","https://openalex.org/W2963809228","https://openalex.org/W3007784904","https://openalex.org/W3133702157","https://openalex.org/W4323276560","https://openalex.org/W4388939607","https://openalex.org/W4389520375","https://openalex.org/W4389941618","https://openalex.org/W4392791588","https://openalex.org/W4396833567","https://openalex.org/W4403413467","https://openalex.org/W4407957917","https://openalex.org/W4408928827","https://openalex.org/W4409494867","https://openalex.org/W4410016829","https://openalex.org/W4410564946","https://openalex.org/W4414472779","https://openalex.org/W4414984184","https://openalex.org/W7079685914"],"related_works":[],"abstract_inverted_index":{"Social-physical":[0],"human-robot":[1,11],"interaction":[2],"(spHRI)":[3],"has":[4],"grown":[5],"rapidly":[6],"across":[7],"robotics,":[8],"human-computer":[9],"interaction,":[10,12],"and":[13,18,47,67,102,108],"haptics.":[14],"Yet,":[15],"fragmented":[16],"terminology":[17],"inconsistent":[19],"methodologies":[20],"make":[21,103],"systematic":[22,54],"synthesis":[23],"difficult.":[24],"To":[25],"support":[26],"scalable":[27],"review":[28],"practices,":[29],"we":[30],"evaluated":[31],"the":[32,63,86],"extent":[33],"to":[34],"which":[35],"small":[36],"language":[37],"models":[38,64],"(SLMs;":[39],"<":[40],"1.5B":[41],"parameters)":[42],"can":[43,95],"assist":[44],"with":[45],"title":[46],"abstract":[48],"screening":[49],"for":[50],"a":[51],"large":[52],"spHRI":[53],"review.":[55],"While":[56],"no":[57],"SLMs":[58,94],"matched":[59],"human":[60],"reviewers'":[61],"performance,":[62],"operated":[65],"locally":[66],"screened":[68],"papers":[69,80],"orders":[70],"of":[71,85],"magnitude":[72],"faster.":[73],"The":[74],"combined":[75],"SLM":[76],"ensemble":[77],"identified":[78],"39":[79],"reviewers":[81,101],"missed,":[82],"representing":[83],"10.29%":[84],"final":[87],"relevant":[88],"dataset.":[89],"These":[90],"results":[91],"demonstrate":[92],"that":[93],"augment,":[96],"rather":[97],"than":[98],"replace,":[99],"expert":[100],"large-scale":[104],"literature":[105],"reviews":[106],"accessible":[107],"sustainable.":[109]},"counts_by_year":[],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2026-03-13T00:00:00"}