{"id":"https://openalex.org/W4388127389","doi":"https://doi.org/10.1145/3626472","title":"BlendMR: A Computational Method to Create Ambient Mixed Reality Interfaces","display_name":"BlendMR: A Computational Method to Create Ambient Mixed Reality Interfaces","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388127389","doi":"https://doi.org/10.1145/3626472"},"language":"en","primary_location":{"id":"doi:10.1145/3626472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3626472","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3626472","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017693052","display_name":"Violet Yinuo Han","orcid":"https://orcid.org/0000-0001-5614-6066"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Violet Yinuo Han","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0001-5614-6066","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048695161","display_name":"Hyunsung Cho","orcid":"https://orcid.org/0000-0002-4521-2766"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyunsung Cho","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0002-4521-2766","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034657861","display_name":"Kiyosu Maeda","orcid":"https://orcid.org/0000-0002-3270-1974"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyosu Maeda","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3270-1974","affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068542191","display_name":"Alexandra Ion","orcid":"https://orcid.org/0000-0001-5933-1363"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandra Ion","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0001-5933-1363","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058551017","display_name":"David Lindlbauer","orcid":"https://orcid.org/0000-0002-0809-9696"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Lindlbauer","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":"https://orcid.org/0000-0002-0809-9696","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6163,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94695614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":"ISS","first_page":"217","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.9988999962806702,"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/T10888","display_name":"Augmented Reality Applications","score":0.9988999962806702,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9968000054359436,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7686890959739685},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5613692998886108},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.521160364151001},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.4994394779205322},{"id":"https://openalex.org/keywords/mixed-reality","display_name":"Mixed reality","score":0.48418763279914856},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4829820692539215},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.47585341334342957},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4582558870315552},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4303544759750366},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4244110584259033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1788775622844696},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09182259440422058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686890959739685},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5613692998886108},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.521160364151001},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.4994394779205322},{"id":"https://openalex.org/C206776904","wikidata":"https://www.wikidata.org/wiki/Q1758389","display_name":"Mixed reality","level":3,"score":0.48418763279914856},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4829820692539215},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.47585341334342957},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4582558870315552},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4303544759750366},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4244110584259033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1788775622844696},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09182259440422058},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3626472","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3626472","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3626472","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3626472","source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Human-Computer Interaction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388127389.pdf","grobid_xml":"https://content.openalex.org/works/W4388127389.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W135070850","https://openalex.org/W1590889181","https://openalex.org/W1967726358","https://openalex.org/W1969548031","https://openalex.org/W2009040676","https://openalex.org/W2024585795","https://openalex.org/W2042062504","https://openalex.org/W2054170361","https://openalex.org/W2058823716","https://openalex.org/W2097246665","https://openalex.org/W2104495739","https://openalex.org/W2105956719","https://openalex.org/W2107353262","https://openalex.org/W2136224256","https://openalex.org/W2137529870","https://openalex.org/W2140693291","https://openalex.org/W2154725200","https://openalex.org/W2159271035","https://openalex.org/W2168881048","https://openalex.org/W2311815372","https://openalex.org/W2346680984","https://openalex.org/W2402451329","https://openalex.org/W2571403626","https://openalex.org/W2763994867","https://openalex.org/W2765839567","https://openalex.org/W2765874585","https://openalex.org/W2766538591","https://openalex.org/W2769701629","https://openalex.org/W2790730056","https://openalex.org/W2796278063","https://openalex.org/W2918063914","https://openalex.org/W2980956911","https://openalex.org/W2981034728","https://openalex.org/W2983419396","https://openalex.org/W3000052977","https://openalex.org/W3000211808","https://openalex.org/W3006937233","https://openalex.org/W3103005787","https://openalex.org/W3104540168","https://openalex.org/W3114942877","https://openalex.org/W3118436759","https://openalex.org/W3124353981","https://openalex.org/W3161351659","https://openalex.org/W3180076784","https://openalex.org/W3199730823","https://openalex.org/W3205557064","https://openalex.org/W3205571996","https://openalex.org/W3210565812","https://openalex.org/W3210730066","https://openalex.org/W4224255981","https://openalex.org/W4224985369","https://openalex.org/W4224992082","https://openalex.org/W4225003999","https://openalex.org/W4225089191","https://openalex.org/W4225137702","https://openalex.org/W4233205063","https://openalex.org/W4234801042","https://openalex.org/W4234833891","https://openalex.org/W4241289669","https://openalex.org/W4252853834","https://openalex.org/W4312392850","https://openalex.org/W4366548802","https://openalex.org/W6605478260"],"related_works":["https://openalex.org/W4320495410","https://openalex.org/W2903079804","https://openalex.org/W3205251208","https://openalex.org/W4285815440","https://openalex.org/W3046066817","https://openalex.org/W2906256945","https://openalex.org/W4361829742","https://openalex.org/W2978137076","https://openalex.org/W2952454403","https://openalex.org/W2529121615"],"abstract_inverted_index":{"Mixed":[0],"Reality":[1],"(MR)":[2],"systems":[3],"display":[4],"content":[5,33,46],"freely":[6],"in":[7,51,157],"space,":[8],"and":[9,27,66,81,117,123,144,146,162],"present":[10,37],"nearly":[11],"arbitrary":[12],"amounts":[13],"of":[14,68,77,104,119,155,160],"information,":[15,120],"enabling":[16],"ubiquitous":[17],"access":[18],"to":[19,54,132],"digital":[20],"information.":[21],"This":[22],"approach,":[23],"however,":[24],"introduces":[25],"clutter":[26,143],"distraction":[28],"if":[29],"too":[30],"much":[31],"virtual":[32,45,89],"is":[34,147],"shown.":[35],"We":[36,126,151],"BlendMR,":[38],"an":[39],"optimization-based":[40],"MR":[41],"system":[42],"that":[43,84,140],"blends":[44],"onto":[47,108],"the":[48,75,78,105,109,153],"physical":[49,69,79],"objects":[50,70,80],"users\u2019":[52],"environments":[53],"serve":[55],"as":[56,71,115],"ambient":[57],"information":[58],"displays.":[59],"Our":[60],"approach":[61,98],"takes":[62],"existing":[63],"2D":[64,106,134],"applications":[65,107],"meshes":[67],"input.":[72],"It":[73],"analyses":[74],"geometry":[76],"identifies":[82],"regions":[83],"are":[85],"suitable":[86],"hosts":[87],"for":[88,112],"elements.":[90],"Using":[91],"a":[92,133,158],"novel":[93],"integer":[94],"programming":[95],"formulation,":[96],"our":[97],"then":[99],"optimally":[100],"maps":[101],"selected":[102],"contents":[103],"object,":[110],"optimizing":[111],"factors":[113],"such":[114],"importance":[116],"hierarchy":[118],"viewing":[121],"angle,":[122],"geometric":[124],"distortion.":[125],"evaluate":[127],"BlendMR":[128,141,156],"by":[129,149],"comparing":[130],"it":[131],"window":[135],"baseline.":[136],"Study":[137],"results":[138,161],"show":[139],"decreases":[142],"distraction,":[145],"preferred":[148],"users.":[150],"demonstrate":[152],"applicability":[154],"series":[159],"usage":[163],"scenarios.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
