{"id":"https://openalex.org/W7133345326","doi":"https://doi.org/10.1145/3742413.3789168","title":"Mind Mapper: Modeling and Predicting Behavioral Patterns from Everyday Conversations with Wearable AI Systems and LLMs","display_name":"Mind Mapper: Modeling and Predicting Behavioral Patterns from Everyday Conversations with Wearable AI Systems and LLMs","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133345326","doi":"https://doi.org/10.1145/3742413.3789168"},"language":null,"primary_location":{"id":"doi:10.1145/3742413.3789168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3742413.3789168","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 31st International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3742413.3789168","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001522776","display_name":"Valdemar Danry","orcid":"https://orcid.org/0000-0001-5225-0077"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Valdemar Danry","raw_affiliation_strings":["MIT Media Lab, MIT, Cambridge, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-5225-0077","affiliations":[{"raw_affiliation_string":"MIT Media Lab, MIT, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094274955","display_name":"Jean Ghislain Billa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Ghislain Billa","raw_affiliation_strings":["MIT Media Lab, MIT, Cambridge, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0009-0003-5698-5267","affiliations":[{"raw_affiliation_string":"MIT Media Lab, MIT, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093457234","display_name":"Yasith Samaradivakara","orcid":"https://orcid.org/0009-0006-1142-5030"},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasith Samaradivakara","raw_affiliation_strings":["MIT Media Lab, MIT, Cambridge, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0009-0006-1142-5030","affiliations":[{"raw_affiliation_string":"MIT Media Lab, MIT, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122419792","display_name":"Paul Pu Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Pu Liang","raw_affiliation_strings":["MIT Media Lab, MIT, Cambridge, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-7768-3610","affiliations":[{"raw_affiliation_string":"MIT Media Lab, MIT, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I4210142372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102076469","display_name":"Pattie Maes","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142372","display_name":"Human Media","ror":"https://ror.org/04072nk43","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142372"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pattie Maes","raw_affiliation_strings":["MIT Media Lab, MIT, Cambridge, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0002-7722-6038","affiliations":[{"raw_affiliation_string":"MIT Media Lab, MIT, Cambridge, Massachusetts, USA","institution_ids":["https://openalex.org/I4210142372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142372"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.14949999749660492,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.14949999749660492,"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/T10028","display_name":"Topic Modeling","score":0.12639999389648438,"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/T12128","display_name":"AI in Service Interactions","score":0.07370000332593918,"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/wearable-computer","display_name":"Wearable computer","score":0.7387999892234802},{"id":"https://openalex.org/keywords/behavioral-pattern","display_name":"Behavioral pattern","score":0.6021000146865845},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.59579998254776},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5284000039100647},{"id":"https://openalex.org/keywords/behavioral-analysis","display_name":"Behavioral analysis","score":0.4724000096321106},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4602000117301941},{"id":"https://openalex.org/keywords/everyday-life","display_name":"Everyday life","score":0.4325999915599823}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7387999892234802},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.59579998254776},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5284000039100647},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.48350000381469727},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.46790000796318054},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4602000117301941},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.450300008058548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4334000051021576},{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.4325999915599823},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.3587999939918518},{"id":"https://openalex.org/C5570062","wikidata":"https://www.wikidata.org/wiki/Q3919817","display_name":"Behavioural sciences","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3742413.3789168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3742413.3789168","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 31st International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3742413.3789168","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3742413.3789168","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 31st International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1163797443","https://openalex.org/W1761206261","https://openalex.org/W1967661515","https://openalex.org/W1970209023","https://openalex.org/W1970340312","https://openalex.org/W1979004942","https://openalex.org/W1979290264","https://openalex.org/W1981822424","https://openalex.org/W2023302299","https://openalex.org/W2027039112","https://openalex.org/W2036469702","https://openalex.org/W2048799165","https://openalex.org/W2051696144","https://openalex.org/W2054780155","https://openalex.org/W2063052894","https://openalex.org/W2096016260","https://openalex.org/W2098728364","https://openalex.org/W2103676101","https://openalex.org/W2112347270","https://openalex.org/W2113738519","https://openalex.org/W2114026225","https://openalex.org/W2126180793","https://openalex.org/W2126527906","https://openalex.org/W2126689453","https://openalex.org/W2130142026","https://openalex.org/W2143554828","https://openalex.org/W2148108980","https://openalex.org/W2184681077","https://openalex.org/W2574211463","https://openalex.org/W2605434345","https://openalex.org/W2889102505","https://openalex.org/W2905393963","https://openalex.org/W2941733427","https://openalex.org/W2996745344","https://openalex.org/W3038603364","https://openalex.org/W3084484011","https://openalex.org/W3135248029","https://openalex.org/W3142519525","https://openalex.org/W3210565903","https://openalex.org/W4248543824","https://openalex.org/W4292157289","https://openalex.org/W4295021613","https://openalex.org/W4387087441","https://openalex.org/W4389518686","https://openalex.org/W4392489540","https://openalex.org/W4393147158","https://openalex.org/W4400118952","https://openalex.org/W4401834466","https://openalex.org/W4405013776","https://openalex.org/W4408614632","https://openalex.org/W4409884515","https://openalex.org/W4409886216","https://openalex.org/W4410636350","https://openalex.org/W6949549905","https://openalex.org/W7084134822","https://openalex.org/W7133211372","https://openalex.org/W7133224126"],"related_works":[],"abstract_inverted_index":{"Everyday":[0],"conversations":[1],"are":[2],"more":[3],"than":[4],"exchanges":[5],"of":[6,33,136,171,192,204],"words\u2014they":[7],"reveal":[8,21],"how":[9,162],"people":[10,38],"think,":[11],"react,":[12],"and":[13,43,68,120,152,156,184],"adapt":[14],"across":[15],"situations.":[16],"Through":[17],"our":[18,27],"speech":[19],"we":[20],"the":[22,190],"cognitive":[23,182],"patterns":[24,35,53,79,105,144],"that":[25,57,61,102,145],"shape":[26],"behavior":[28,157,175],"over":[29,133],"time.":[30],"Yet":[31],"much":[32],"these":[34,78],"remains":[36],"implicit:":[37],"operate":[39],"through":[40,176],"recurring":[41],"heuristics":[42],"habits\u2014some":[44],"helpful,":[45],"some":[46],"limiting,":[47],"many":[48],"unnoticed.":[49],"However,":[50],"identifying":[51],"such":[52,163],"requires":[54],"self":[55],"awareness":[56],"humans":[58],"struggle":[59],"with\u2014and":[60],"current":[62],"user":[63,82,174,198],"modeling":[64,166],"systems,":[65],"often":[66],"fragmented":[67],"narrowly":[69],"tailored":[70],"to":[71,75,85,117,200],"specific":[72],"tasks,":[73],"fail":[74],"capture.":[76],"Recognizing":[77],"can":[80],"enable":[81,168],"support":[83,201],"systems":[84,195],"go":[86],"beyond":[87],"reactive":[88],"assistance":[89],"towards":[90],"anticipatory":[91],"support.":[92],"We":[93,159],"present":[94],"Mind":[95,110,140],"Mapper,":[96],"an":[97],"always-on":[98,193],"wearable":[99,194],"AI":[100],"system":[101],"mines":[103],"behavioral":[104,123,143,164,185],"from":[106],"everyday":[107],"real-life":[108,137],"conversations.":[109],"Mapper":[111,141],"employs":[112],"a":[113,126],"multi-stage":[114],"LLM":[115],"pipeline":[116],"generate,":[118],"refine,":[119],"evaluate":[121],"human-readable":[122],"patterns.":[124],"In":[125],"field":[127],"study":[128],"with":[129,196],"12":[130],"participants":[131,146],"capturing":[132],"700":[134],"hours":[135],"conversational":[138],"data,":[139],"generated":[142],"consistently":[147],"rated":[148],"as":[149],"accurate,":[150],"unique,":[151],"helpful":[153],"for":[154],"reflection":[155],"change.":[158],"further":[160],"illustrate":[161],"pattern":[165],"might":[167],"new":[169,202],"forms":[170,203],"human-AI":[172,208],"interaction\u2014anticipating":[173],"proactive":[177],"interventions,":[178],"adaptive":[179],"content":[180],"delivery,":[181],"reframing,":[183],"simulation.":[186],"Our":[187],"results":[188],"show":[189],"potential":[191],"LLM-driven":[197],"models":[199],"cognitively":[205],"scaffolding,":[206],"context-aware":[207],"interactions.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-04T00:00:00"}
