{"id":"https://openalex.org/W2986287793","doi":"https://doi.org/10.1145/3343055.3360747","title":"Towers of Saliency","display_name":"Towers of Saliency","publication_year":2019,"publication_date":"2019-11-07","ids":{"openalex":"https://openalex.org/W2986287793","doi":"https://doi.org/10.1145/3343055.3360747","mag":"2986287793"},"language":"en","primary_location":{"id":"doi:10.1145/3343055.3360747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343055.3360747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110647881","display_name":"Nathan Douglas","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nathan Douglas","raw_affiliation_strings":["University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009915458","display_name":"Dianna Yim","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dianna Yim","raw_affiliation_strings":["University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071731471","display_name":"Bilal Kartal","orcid":"https://orcid.org/0000-0001-9537-3835"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bilal Kartal","raw_affiliation_strings":["Borealis AI, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Borealis AI, Edmonton, AB, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005259414","display_name":"Pablo Hern\u00e1ndez-Leal","orcid":"https://orcid.org/0000-0002-8530-6775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pablo Hernandez-Leal","raw_affiliation_strings":["Borealis AI, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Borealis AI, Edmonton, AB, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070105322","display_name":"Frank Maurer","orcid":"https://orcid.org/0000-0002-0240-715X"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Frank Maurer","raw_affiliation_strings":["University of Calgary, Calgary, AB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Calgary, Calgary, AB, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070914351","display_name":"Matthew E. Taylor","orcid":"https://orcid.org/0000-0001-8946-0211"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew E. Taylor","raw_affiliation_strings":["Borealis AI, Edmonton, AB, Canada"],"affiliations":[{"raw_affiliation_string":"Borealis AI, Edmonton, AB, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110647881"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78564683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"339","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9901999831199646,"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":0.9901999831199646,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9750000238418579,"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/visualization","display_name":"Visualization","score":0.8852971792221069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8072996139526367},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.7291257381439209},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.69620281457901},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6289505958557129},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.585444450378418},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.57441246509552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49990010261535645},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.421329528093338},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3374749422073364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32993990182876587}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8852971792221069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072996139526367},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.7291257381439209},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.69620281457901},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6289505958557129},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.585444450378418},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.57441246509552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49990010261535645},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.421329528093338},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3374749422073364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32993990182876587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343055.3360747","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343055.3360747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1965947777","display_name":null,"funder_award_id":"531581 - 18","funder_id":"https://openalex.org/F4320321487","funder_display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320321487","display_name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2128272608","https://openalex.org/W2145339207","https://openalex.org/W2345215667","https://openalex.org/W2510750606","https://openalex.org/W2753527800","https://openalex.org/W2765615734","https://openalex.org/W2891503716","https://openalex.org/W2892051885","https://openalex.org/W2949899112","https://openalex.org/W2964043796"],"related_works":["https://openalex.org/W4385437088","https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691"],"abstract_inverted_index":{"Deep":[0],"reinforcement":[1],"learning":[2],"(DRL)":[3],"has":[4],"had":[5],"many":[6],"successes":[7],"on":[8],"complex":[9],"tasks,":[10],"but":[11],"is":[12],"typically":[13],"considered":[14],"a":[15,51,61],"black":[16,20],"box.":[17],"Opening":[18],"this":[19,47],"box":[21],"would":[22],"enable":[23],"better":[24,41,55],"understanding":[25,79],"and":[26,37,59,84],"trust":[27],"of":[28,80],"the":[29,44,65],"model":[30],"which":[31],"can":[32],"be":[33],"helpful":[34],"for":[35,76],"researchers":[36],"end":[38],"users":[39],"to":[40,54],"interact":[42],"with":[43],"learner.":[45],"In":[46],"paper,":[48],"we":[49],"propose":[50],"new":[52],"visualization":[53,70],"analyze":[56],"DRL":[57],"agents":[58],"present":[60],"case":[62],"study":[63],"using":[64],"Pommerman":[66],"benchmark":[67],"domain.":[68],"This":[69],"combines":[71],"two":[72],"previously":[73],"proven":[74],"methods":[75],"improving":[77],"human":[78],"systems:":[81],"saliency":[82],"mapping":[83],"immersive":[85],"visualization.":[86]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-22T00:00:00"}