{"id":"https://openalex.org/W7116861695","doi":"https://doi.org/10.48550/arxiv.2512.17172","title":"PILAR: Personalizing Augmented Reality Interactions with LLM-based Human-Centric and Trustworthy Explanations for Daily Use Cases","display_name":"PILAR: Personalizing Augmented Reality Interactions with LLM-based Human-Centric and Trustworthy Explanations for Daily Use Cases","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W7116861695","doi":"https://doi.org/10.48550/arxiv.2512.17172"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2512.17172","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.17172","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":null,"license_id":null,"version":null,"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":"https://doi.org/10.48550/arxiv.2512.17172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064926522","display_name":"Ripan Kumar Kundu","orcid":"https://orcid.org/0000-0001-7347-8580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kundu, Ripan Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120877427","display_name":"Istiak Ahmed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed, Istiak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5069684684","display_name":"Khaza Anuarul Hoque","orcid":"https://orcid.org/0000-0002-1625-6479"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoque, Khaza Anuarul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.882099986076355,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.882099986076355,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.023499999195337296,"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"}},{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.021199999377131462,"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/trustworthiness","display_name":"Trustworthiness","score":0.7717000246047974},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.751800000667572},{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.7263000011444092},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5192999839782715},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5115000009536743},{"id":"https://openalex.org/keywords/everyday-life","display_name":"Everyday life","score":0.42329999804496765}],"concepts":[{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.7717000246047974},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.751800000667572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312999963760376},{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.7263000011444092},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6577000021934509},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5192999839782715},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2662000060081482}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2512.17172","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.17172","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2512.17172","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.17172","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":null,"license_id":null,"version":null,"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":{"Artificial":[0],"intelligence":[1],"(AI)-driven":[2],"augmented":[3],"reality":[4],"(AR)":[5],"systems":[6],"are":[7],"becoming":[8],"increasingly":[9],"integrated":[10],"into":[11],"daily":[12],"life,":[13],"and":[14,47,72,106,144,170,221,229,236],"with":[15,65,193,223],"this":[16,81],"growth":[17],"comes":[18],"a":[19,86,91,103,129,152,190,207],"greater":[20,142,231],"need":[21],"for":[22,50,75,122],"explainability":[23,59],"in":[24,70,109,151],"real-time":[25,110,165],"user":[26,191,219],"interactions.":[27,78],"Traditional":[28],"explainable":[29],"AI":[30],"(XAI)":[31],"methods,":[32,116],"which":[33,117],"often":[34],"rely":[35,118],"on":[36,119,179],"feature-based":[37],"or":[38],"example-based":[39],"explanations,":[40,101],"struggle":[41],"to":[42,97,137,206],"deliver":[43],"dynamic,":[44],"context-specific,":[45],"personalized,":[46],"human-centric":[48],"insights":[49],"everyday":[51],"AR":[52,77,112,154],"users.":[53],"These":[54],"methods":[55],"typically":[56],"address":[57,80],"separate":[58],"dimensions":[60],"(e.g.,":[61,156],"when,":[62],"what,":[63],"how)":[64],"different":[66,123],"explanation":[67,204],"techniques,":[68],"resulting":[69],"unrealistic":[71],"fragmented":[73],"experiences":[74],"seamless":[76],"To":[79],"challenge,":[82],"we":[83],"propose":[84],"PILAR,":[85],"novel":[87],"framework":[88],"that":[89,133,163,213],"leverages":[90],"pre-trained":[92],"large":[93],"language":[94],"model":[95],"(LLM)":[96],"generate":[98],"context-aware,":[99],"personalized":[100,157,172],"offering":[102],"more":[104],"intuitive":[105],"trustworthy":[107],"experience":[108],"AI-powered":[111],"systems.":[113],"Unlike":[114],"traditional":[115,208],"multiple":[120],"techniques":[121],"aspects":[124],"of":[125,174,187,234],"explanation,":[126],"PILAR":[127,149,188],"employs":[128],"unified":[130],"LLM-based":[131,171,203,215],"approach":[132],"dynamically":[134],"adapts":[135],"explanations":[136,173],"the":[138,148,175,185,214],"user's":[139],"needs,":[140],"fostering":[141],"trust":[143],"engagement.":[145],"We":[146,183],"implement":[147],"concept":[150],"real-world":[153],"application":[155],"recipe":[158,168,198],"recommendations),":[159],"an":[160,202],"open-source":[161],"prototype":[162],"integrates":[164],"object":[166],"detection,":[167],"recommendation,":[169],"recommended":[176],"recipes":[177],"based":[178],"users'":[180],"dietary":[181],"preferences.":[182],"evaluate":[184],"effectiveness":[186],"through":[189],"study":[192],"16":[194],"participants":[195,224],"performing":[196],"AR-based":[197],"recommendation":[199],"tasks,":[200],"comparing":[201],"interface":[205,216],"template-based":[209],"one.":[210],"Results":[211],"show":[212],"significantly":[217],"enhances":[218],"performance":[220],"experience,":[222],"completing":[225],"tasks":[226],"40%":[227],"faster":[228],"reporting":[230],"satisfaction,":[232],"ease":[233],"use,":[235],"perceived":[237],"transparency.":[238]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-23T00:00:00"}
