{"id":"https://openalex.org/W7162442002","doi":"https://doi.org/10.48550/arxiv.2605.24526","title":"TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback","display_name":"TRAFA: Anticipating User Actions to Reduce Errors in Procedural Tasks with Predictive Feedback","publication_year":2026,"publication_date":"2026-05-23","ids":{"openalex":"https://openalex.org/W7162442002","doi":"https://doi.org/10.48550/arxiv.2605.24526"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2605.24526","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.24526","pdf_url":"https://arxiv.org/pdf/2605.24526","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2605.24526","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104153935","display_name":"Sassan Mokhtar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mokhtar, Sassan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028937864","display_name":"Lars Doorenbos","orcid":"https://orcid.org/0000-0002-0231-9950","observed_orcids":["https://orcid.org/0000-0002-0231-9950"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doorenbos, Lars","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137016734","display_name":"Fatemeh Jabbari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jabbari, Fatemeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019076787","display_name":"Marius Bock","orcid":"https://orcid.org/0000-0001-7401-928X","observed_orcids":["https://orcid.org/0000-0001-7401-928X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bock, Marius","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bach, Dominik","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bach, Dominik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012240246","display_name":"J\u00fcergen Gall","orcid":"https://orcid.org/0000-0002-9447-3399","observed_orcids":["https://orcid.org/0000-0002-9447-3399"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gall, Juergen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.8500999808311462,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10789","display_name":"Interactive and Immersive Displays","score":0.8500999808311462,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10470","display_name":"Usability and User Interface Design","score":0.08720000088214874,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.014700000174343586,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predictive-feedback","display_name":"predictive feedback","score":0.9229999780654907},{"id":"https://openalex.org/keywords/error-prevention","display_name":"error prevention","score":0.8799999952316284},{"id":"https://openalex.org/keywords/procedural-tasks","display_name":"procedural tasks","score":0.7850000262260437},{"id":"https://openalex.org/keywords/motion-prediction","display_name":"motion prediction","score":0.578000009059906},{"id":"https://openalex.org/keywords/sequential-assembly","display_name":"sequential assembly","score":0.6460000276565552},{"id":"https://openalex.org/keywords/feedback-timing","display_name":"feedback timing","score":0.7089999914169312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7411999702453613},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7049999833106995},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.6168000102043152},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6055999994277954},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.49970000982284546},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.49950000643730164},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48980000615119934},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4869999885559082},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.427700012922287},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35370001196861267},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33070001006126404},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C3018651601","wikidata":"https://www.wikidata.org/wiki/Q183635","display_name":"Feedback control","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C3017962763","wikidata":"https://www.wikidata.org/wiki/Q427492","display_name":"Feedback regulation","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C3020716817","wikidata":"https://www.wikidata.org/wiki/Q4132092","display_name":"Visual feedback","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C3018623182","wikidata":"https://www.wikidata.org/wiki/Q154021","display_name":"Output feedback","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2605.24526","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.24526","pdf_url":"https://arxiv.org/pdf/2605.24526","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2605.24526","doi":"https://doi.org/10.48550/arxiv.2605.24526","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.24526","pdf_url":null,"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,"listed_in":[],"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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2605.24526","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.24526","pdf_url":"https://arxiv.org/pdf/2605.24526","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.7372859716415405,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Interactive":[0],"assistance":[1],"systems":[2,138],"typically":[3],"provide":[4],"feedback":[5,27,41,61,102,114,119],"after":[6],"an":[7],"action":[8,65],"has":[9],"been":[10],"completed,":[11],"supporting":[12],"error":[13,19],"recovery":[14],"but":[15],"not":[16],"preventing":[17],"the":[18],"itself.":[20],"We":[21,72],"present":[22],"TRAFA,":[23],"a":[24,43,63,77,89,110,122],"real-time":[25,131],"predictive":[26,40,101],"system":[28,126],"for":[29],"procedural":[30],"tasks":[31],"that":[32,46,100],"intervenes":[33],"before":[34,142],"errors":[35,141],"are":[36],"committed.":[37],"TRAFA":[38],"operationalizes":[39],"through":[42,84],"Track-Forecast-Act":[44],"framework":[45],"tracks":[47],"hand":[48],"and":[49,59,81,88,106,128],"object":[50],"state,":[51],"forecasts":[52],"user":[53,91],"motion":[54],"conditioned":[55],"on":[56],"scene":[57],"context,":[58],"triggers":[60],"when":[62],"predicted":[64],"is":[66],"likely":[67],"to":[68,139],"violate":[69],"task":[70,104],"constraints.":[71],"instantiate":[73],"this":[74],"pipeline":[75],"in":[76,125],"sequential":[78],"assembly":[79],"setting":[80],"evaluate":[82],"it":[83],"both":[85],"technical":[86],"benchmarking":[87],"controlled":[90],"study":[92],"against":[93],"conventional":[94],"reactive":[95],"feedback.":[96],"Our":[97],"results":[98],"show":[99,129],"improves":[103],"accuracy":[105],"efficiency":[107],"while":[108],"maintaining":[109],"comparable":[111],"number":[112],"of":[113],"events.":[115],"These":[116],"findings":[117],"position":[118],"timing":[120],"as":[121],"key":[123],"dimension":[124],"design":[127],"how":[130],"anticipation":[132],"can":[133],"be":[134],"integrated":[135],"into":[136],"interactive":[137],"prevent":[140],"they":[143],"occur.":[144]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2026-05-27T00:00:00"}
