{"id":"https://openalex.org/W7077910850","doi":"https://doi.org/10.1145/3746058.3758385","title":"Increasing Interaction Fidelity: Training Routines for Biomechanical Models in HCI","display_name":"Increasing Interaction Fidelity: Training Routines for Biomechanical Models in HCI","publication_year":2025,"publication_date":"2025-09-27","ids":{"openalex":"https://openalex.org/W7077910850","doi":"https://doi.org/10.1145/3746058.3758385"},"language":"en","primary_location":{"id":"doi:10.1145/3746058.3758385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746058.3758385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746058.3758385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3746058.3758385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Micha\u0142 Patryk Miazga","orcid":"https://orcid.org/0009-0003-5579-3036"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Micha\u0142 Patryk Miazga","raw_affiliation_strings":["ScaDS.AI, Leipzig University, Leipzig, Germany"],"raw_orcid":"https://orcid.org/0009-0003-5579-3036","affiliations":[{"raw_affiliation_string":"ScaDS.AI, Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]},{"author_position":"last","author":{"id":null,"display_name":"Patrick Ebel","orcid":"https://orcid.org/0000-0002-4437-2821"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Ebel","raw_affiliation_strings":["ScaDS.AI, Leipzig University, Leipzig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4437-2821","affiliations":[{"raw_affiliation_string":"ScaDS.AI, Leipzig University, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I926574661"],"apc_list":null,"apc_paid":null,"fwci":4.3465,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95091155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6764000058174133,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6764000058174133,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01810000091791153,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/touchscreen","display_name":"Touchscreen","score":0.7982000112533569},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.550000011920929},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.48410001397132874},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4602000117301941},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.39250001311302185},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.3894999921321869},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3790000081062317},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.3716999888420105}],"concepts":[{"id":"https://openalex.org/C2778539339","wikidata":"https://www.wikidata.org/wiki/Q165970","display_name":"Touchscreen","level":2,"score":0.7982000112533569},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.6933000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435999870300293},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.550000011920929},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4602000117301941},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3894999921321869},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C13854087","wikidata":"https://www.wikidata.org/wiki/Q1061656","display_name":"Interaction design","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C132758656","wikidata":"https://www.wikidata.org/wiki/Q5307365","display_name":"Dreyfus model of skill acquisition","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C2776716048","wikidata":"https://www.wikidata.org/wiki/Q6045290","display_name":"Interactive Learning","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746058.3758385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746058.3758385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746058.3758385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.16581","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.16581","pdf_url":"https://arxiv.org/pdf/2508.16581","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"}],"best_oa_location":{"id":"doi:10.1145/3746058.3758385","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3746058.3758385","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3746058.3758385","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7077910850.pdf","grobid_xml":"https://content.openalex.org/works/W7077910850.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2105512500","https://openalex.org/W2158782408","https://openalex.org/W3005431655","https://openalex.org/W3119264617","https://openalex.org/W3120275769","https://openalex.org/W3179833101","https://openalex.org/W4251408821","https://openalex.org/W4285102652","https://openalex.org/W4285588358","https://openalex.org/W4307475434","https://openalex.org/W4308448324","https://openalex.org/W4388999749","https://openalex.org/W4402443474","https://openalex.org/W4403333982","https://openalex.org/W4409870595"],"related_works":[],"abstract_inverted_index":{"Biomechanical":[0],"forward":[1],"simulation":[2,109],"holds":[3],"great":[4],"potential":[5],"for":[6,26,34,132],"HCI,":[7],"enabling":[8],"the":[9,49,82,108,114],"generation":[10],"of":[11,84,137],"human-like":[12,138],"movements":[13,30],"in":[14,43],"interactive":[15],"tasks.However,":[16],"training":[17,68,72,130],"biomechanical":[18,51,87,135],"models":[19,136],"with":[20,126],"reinforcement":[21],"learning":[22],"is":[23],"challenging,":[24],"particularly":[25],"precise":[27],"and":[28,56,80,104,129],"dexterous":[29],"like":[31],"those":[32],"required":[33],"touchscreen":[35,90],"interactions":[36],"on":[37],"mobile":[38],"devices.Current":[39],"approaches":[40],"are":[41],"limited":[42],"their":[44],"interaction":[45,75,139],"fidelity,":[46],"require":[47],"restricting":[48],"underlying":[50],"model":[52],"to":[53,67,107,117],"reduce":[54,71],"complexity,":[55],"do":[57],"not":[58],"generalize":[59],"well.In":[60],"this":[61],"work,":[62],"we":[63,93],"propose":[64],"practical":[65,127],"improvements":[66],"routines":[69,131],"that":[70,95],"time,":[73],"increase":[74],"fidelity":[76],"beyond":[77],"existing":[78],"methods,":[79],"enable":[81],"use":[83],"more":[85,100],"complex":[86,101],"models.Using":[88],"a":[89],"pointing":[91],"task,":[92],"demonstrate":[94],"curriculum":[96],"learning,":[97],"action":[98],"masking,":[99],"network":[102],"configurations,":[103],"simple":[105],"adjustments":[106],"environment":[110],"can":[111],"significantly":[112],"improve":[113],"agent's":[115],"ability":[116],"learn":[118],"accurate":[119],"touch":[120],"behavior.Our":[121],"work":[122],"provides":[123],"HCI":[124],"researchers":[125],"tips":[128],"developing":[133],"better":[134],"fidelity.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
